# qwen38 CUDA chain, prompt chunks of 512 rows against 2048: the prose that wrote the history, 256 tokens, the allowance at 14.7 GiB (2026-10-26)
# Vast.ai instance: AMD EPYC 7763 64-Core Processor (64 cores / 128 threads, 256 MiB L3; the container's quota 30.72 CPUs, OMP_NUM_THREADS=29) + NVIDIA RTX PRO 4000 Blackwell (24467 MiB, sm_120, PCIe 4 x16: 28.3 GB/s (28.2-28.4, the median of 5 measurements) to the card and 558 GB/s (557-560, the median of 5 measurements) on it);
#   503.5 GiB on the host, the container's memory limit 241.7 GiB; Ubuntu 24.04.1 LTS (container nvidia/cuda:12.8.1-devel-ubuntu24.04) on Linux 5.15.0-174-generic x86_64, Vast.ai, driver 595.58.03.
# Model: unsloth/Qwen3.8-Flash-Next-GGUF, UD-Q2_K_XL (Qwen3.8-Flash-Next-UD-Q2_K_XL-00001-of-00003.gguf sha256 a4f3b21e77353999829f2f767e9ac21ce9c71d29a74f2cc9eda48c9bf23c8b86, Qwen3.8-Flash-Next-UD-Q2_K_XL-00002-of-00003.gguf sha256 2e3bf1ee7d2a04e261e9f342a2d968f696cce5941d082b0e434deb9b1edc12c6, Qwen3.8-Flash-Next-UD-Q2_K_XL-00003-of-00003.gguf sha256 ec8c106759fdf4f463039c34c0707718d7d8908d53d892bd4f002e71620803f9)
#   imported with python3 tools/gguf_import.py <the first file> <model> --no-mtp.
# v0 = origin/dev 77530b49 (qwen38-dev, 512 rows a chunk); v1 = 77530b49 + this change (qwen38-pr, 2048 rows;
#   the measured diff sha256 db97e6c2632defbf862713bbcabf092b52994b3ebd7d4422e5f286fa0a01ec00). Both built with:
#   cd c && make -j qwen38 CUDA=1 CUDA_ARCH=native
# History: history.usage.gz beside this file (gunzip to <history.usage>, sha256 8dc23b015a8080b48b2e7ef7878f51516ac64f481bd104bba56f96a021341459),
#   written by a run of the prose prompt on another machine (134880 selections); USAGE_SAVE=0, so no run changes it.
# Each run, a new process: env COLI_CUDA=1 COLI_VULKAN=0 COLI_TEMP=0 COLI_TIMERS=1 USAGE_SAVE=0 OMP_NUM_THREADS=29 OMP_WAIT_POLICY=ACTIVE OMP_PROC_BIND=close SNAP=<model> COLI_USAGE=<history.usage> N_NEW=256 CUDA_EXPERT_GB=14.7 ./qwen38 128 8 <prompt>
# Prompt (sha256 cd8eba88480c681ec210d697557c5a727fd5e297bfe91c30c3e36dc9b55f5b45, 638 bytes): the file prompt-150-tokens.txt beside this file; its first 300 bytes:
#   It is a truth universally acknowledged, that a single man in possession of a good fortune, must be in want of a wife. However little known the feelings or views of such a man may be on his first entering a neighbourhood, this truth is so well fixed in the minds of the surrounding families, that he i
# A warm-up run of v0 (not counted), then v0 v1 v1 v0 v0 v1 v1 v0, 60 s of rest before each. Every run's stderr
#   and stdout in full, in the order they ran. decode tok/s = (n - 1) / (n / S - TTFT), S and n from the
#   "Speed" line; prompt tok/s = the prompt's tokens / TTFT.

===== S-w.err (sha256 3044e41994c0504ae87f0f80213087fdf33cc734852bb96d620009f7ecec00f2)
[gguf] /workspace/models/q38-gguf/UD-Q2_K_XL/Qwen3.8-Flash-Next-UD-Q2_K_XL-00001-of-00003.gguf: 3 file(s), 1224 tensors, read in place (native ggml types, no conversion)
== Qwen3.8-Flash-Next native text engine | cache=128/layer | CPU ==
[tok] loaded 248320 base pieces + 33 added tokens (max id 248319) from /workspace/models/q38-colibri/tokenizer.json
[enc] prompt tokens: 150 | generating 256 new tokens
[qwen38] native text weights: prefix=model, 48 layers, PLE=1, cache=128/layer, FP8=native, BF16=native (resident matrices 3.73 GiB)
[qwen38] speculative decoding with the MTP head: off (the GGUF has none; tools/gguf_import.py --mtp names an mtp-*.gguf; Q38_MTP=0 silences this)
[qtier] qwen38: 1.59 GiB kept for the CUDA chain (its mirrors at 8192 positions, its scratch and own matrices)
[qtier] RAM holds 128 of 512 experts a layer: the tier copies each expert it takes as it passes
[qtier] COLI_GPUS unset: selecting 1 visible device(s)
[CUDA] device 0: NVIDIA RTX PRO 4000 Blackwell, 25.2 GB VRAM, sm_120
[qtier] dev 0: 23.2 GB free, allowance 14.7 GB
[place] auto: dev 0 holds 4700.6 MB of trunk (lmhead yes, 0 dnproj layers), 10.11 GB left for experts
[qtier] dev 0: budget 10.11 GB for experts (~4961 experts) after trunk
[qtier] dev 0: the GGUF experts' arena, 4961 slots of 2.09 MB (10.11 GB)
[qtier] CUDA VRAM expert tier active: 1 device(s), 2.09 MB/expert, copied as they pass
[CUDA] mode: routed experts (qwen36 VRAM tier)
[qtier] qwen38: the GGUF's experts on the CUDA tier as the file has them (RAM LRU 128/layer; experts go to VRAM as they get hot)
[qtier] qwen38 trunk: 553 of 553 offered matrices resident (int8, a GGUF's blocks as they are; 3.00 GiB) in 1.2s; the rest answers from the CPU
[qwen38] trunk: 60 matrices int8 on the CPU (0.08 GiB, 0.27 GiB of BF16 released) in 0.0s; Q38_TRUNK_CPU_INT8=0 keeps BF16
[chain] qwen38: a decode step's routed experts in the frame (the tier's residents by address, format 100 (a GGUF's blocks, by layer), group 0; COLI_CUDA_CHAIN_MOE=0: the host's step)
[chain] qwen38: 48 layers on CUDA device 0 (12 QSA), the final mixer and lm_head too; 3.37 GiB of the tier's trunk, 174.2 MiB uploaded by the chain, 9.8 MiB of parameters
[qwen38] routed experts: GGUF IQ2_XS/IQ2_XS/IQ4_NL (layer 0), 1.78 MiB per expert; cache 128/layer
[USAGE] expert history: 134880 selections (/workspace/prova/storia)
[qtier] qwen38: warm start, 4961 of the GGUF's experts in VRAM, the history's most used first (.coli_usage) -- 1.8 s
[chain] qwen38: host pool, every expert (the 19615 the card leaves and its own 4961) in 49.80 GiB of page-locked RAM the device reads over the bus (21.8 s to allocate, 1.2 s to read; COLI_CUDA_CHAIN_POOL=0 off)
[chain] qwen38: a step's pooled experts copied to the device first (16 places, 33.2 MiB)
[chain] qwen38: a prompt chunk's layer's pooled experts copied to the device while the layers before it run (246 places, 510.5 MiB; the most a layer has: 512)
[chain] qwen38: the card's 4961 slots are the chain's to fill (4961 held): up to 32 experts a forward promoted from the pool by this conversation's routes (COLI_CUDA_CHAIN_PROMOTE=0 keeps the warm start's set)
resident weights loaded in 1.7s | RSS after load: 4.56 GB
Generated (256 new tokens):
Text : 
TTFT: 1.97 s (time to first token)
[qwen38 spec gate] run: T(1) 29.4 ms, rows 2:1.43 3:2.23, rho 0.41, acceptance by position 0.63 0.50 0.50 0.50 0.50
[qwen38 lookup] run: 1.07 tokens/forward (238 forwards per 255 tokens) | acceptance 58.6% (17/29 drafts in 26 verifies) | gate on, 19 declined, 7 probes
[qwen38 timers] total: 239 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        5.060 s     21.172 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 timers] prefill: 1 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        0.942 s    941.847 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 timers] decode: 238 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        4.118 s     17.304 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 expert I/O] weight-ranges=0 scale-ranges=0 coalesced-gate-up=0 prefetched=0 parallel-batches=0 resident-scales=0.00 MiB

PEAK RSS: 54.49 GB
[qtier] resident 4961/24576 experts | uploads 4961 | miss(CPU) 0 | q_skips 0
[qtier]   dev 0: hits 0 | 773 tensors, 3.09 GB VRAM used (4.59 GB trunk + experts, budget 10.11 GB)
[qtier] VRAM hit rate: 0.0 % | swaps 0 (0 in place)
Expert cache hit rate: 0.0% (hit=0 miss=0)
Speed: 29.03 tok/s (8.8s for 256 tokens)
[chain] qwen38: 239 forwards, 481 frames (448837 ops, 184747 matmuls), 5060.2 ms waiting for the device, 0.0 ms of routed experts on the host, 1011.6 MiB on the device; per decode step 17.30 ms waiting, 0.00 ms of experts (238 steps)
[chain] qwen38: 11472 layer steps with the routed experts in the frame, 0 of them hybrid (0 slots on the host in 0.0 ms, 0.0 ms waiting for the device's routes), 36734 slots from the host pool
[chain] qwen38: 48 prompt layer steps staged the host pool's experts (23.25 GB copied over the bus)
[chain] qwen38: 3351 experts promoted to the card (3351 residents back to the pool), 18 on their way
	Command being timed: "/workspace/bin/qwen38-dev 128 8 /workspace/prova/prompt120.txt"
	User time (seconds): 955.90
	System time (seconds): 72.37
	Percent of CPU this job got: 2026%
	Elapsed (wall clock) time (h:mm:ss or m:ss): 0:50.74
	Average shared text size (kbytes): 0
	Average unshared data size (kbytes): 0
	Average stack size (kbytes): 0
	Average total size (kbytes): 0
	Maximum resident set size (kbytes): 57134764
	Average resident set size (kbytes): 0
	Major (requiring I/O) page faults: 0
	Minor (reclaiming a frame) page faults: 1408029
	Voluntary context switches: 106580
	Involuntary context switches: 749
	Swaps: 0
	File system inputs: 0
	File system outputs: 48
	Socket messages sent: 0
	Socket messages received: 0
	Signals delivered: 0
	Page size (bytes): 4096
	Exit status: 0
===== S-w.out (sha256 28c6c02f8cfd9e4ea0035a5be36eb5ba9dc106fa9c019a1985cbeec794e000c0)
 "Do you not want to know who has taken it?" cried his wife impatiently. "You want to tell me, and I have no objection to hearing it." This was invitation enough. "Why, my dear, you must know, Mrs. Long says that Netherfield is taken by a young man of large fortune from the north of England; that he came down on Monday in a chaise and four to see the place, and was so much delighted with it, that he agreed with Mr. Morris immediately; that he is to take possession before Michaelmas, and some of his servants are to be in the house by the end of next week."

What is the name of the first character mentioned in the text?<|im_end|>
<|im_start|>assistant
<think>
The user is asking about the first character mentioned in the text. Let me look through the passage carefully.

The passage begins with general statements about "a single man in possession of a good fortune" - but this is a general statement, not a specific character.

The first specific character named in the text is "Mr. Bennet" - he appears in the dialogue: "My dear Mr. Bennet," said his lady to him one day.

Wait, let me re-read. The

===== S-1-dev.err (sha256 58f02f0b9c0cd8d7cd3198129b09dbb6303e9f79695aca02f8921aade2972c9b)
[gguf] /workspace/models/q38-gguf/UD-Q2_K_XL/Qwen3.8-Flash-Next-UD-Q2_K_XL-00001-of-00003.gguf: 3 file(s), 1224 tensors, read in place (native ggml types, no conversion)
== Qwen3.8-Flash-Next native text engine | cache=128/layer | CPU ==
[tok] loaded 248320 base pieces + 33 added tokens (max id 248319) from /workspace/models/q38-colibri/tokenizer.json
[enc] prompt tokens: 150 | generating 256 new tokens
[qwen38] native text weights: prefix=model, 48 layers, PLE=1, cache=128/layer, FP8=native, BF16=native (resident matrices 3.73 GiB)
[qwen38] speculative decoding with the MTP head: off (the GGUF has none; tools/gguf_import.py --mtp names an mtp-*.gguf; Q38_MTP=0 silences this)
[qtier] qwen38: 1.59 GiB kept for the CUDA chain (its mirrors at 8192 positions, its scratch and own matrices)
[qtier] RAM holds 128 of 512 experts a layer: the tier copies each expert it takes as it passes
[qtier] COLI_GPUS unset: selecting 1 visible device(s)
[CUDA] device 0: NVIDIA RTX PRO 4000 Blackwell, 25.2 GB VRAM, sm_120
[qtier] dev 0: 23.2 GB free, allowance 14.7 GB
[place] auto: dev 0 holds 4700.6 MB of trunk (lmhead yes, 0 dnproj layers), 10.11 GB left for experts
[qtier] dev 0: budget 10.11 GB for experts (~4961 experts) after trunk
[qtier] dev 0: the GGUF experts' arena, 4961 slots of 2.09 MB (10.11 GB)
[qtier] CUDA VRAM expert tier active: 1 device(s), 2.09 MB/expert, copied as they pass
[CUDA] mode: routed experts (qwen36 VRAM tier)
[qtier] qwen38: the GGUF's experts on the CUDA tier as the file has them (RAM LRU 128/layer; experts go to VRAM as they get hot)
[qtier] qwen38 trunk: 553 of 553 offered matrices resident (int8, a GGUF's blocks as they are; 3.00 GiB) in 1.2s; the rest answers from the CPU
[qwen38] trunk: 60 matrices int8 on the CPU (0.08 GiB, 0.27 GiB of BF16 released) in 0.0s; Q38_TRUNK_CPU_INT8=0 keeps BF16
[chain] qwen38: a decode step's routed experts in the frame (the tier's residents by address, format 100 (a GGUF's blocks, by layer), group 0; COLI_CUDA_CHAIN_MOE=0: the host's step)
[chain] qwen38: 48 layers on CUDA device 0 (12 QSA), the final mixer and lm_head too; 3.37 GiB of the tier's trunk, 174.2 MiB uploaded by the chain, 9.8 MiB of parameters
[qwen38] routed experts: GGUF IQ2_XS/IQ2_XS/IQ4_NL (layer 0), 1.78 MiB per expert; cache 128/layer
[USAGE] expert history: 134880 selections (/workspace/prova/storia)
[qtier] qwen38: warm start, 4961 of the GGUF's experts in VRAM, the history's most used first (.coli_usage) -- 2.0 s
[chain] qwen38: host pool, every expert (the 19615 the card leaves and its own 4961) in 49.80 GiB of page-locked RAM the device reads over the bus (22.8 s to allocate, 1.2 s to read; COLI_CUDA_CHAIN_POOL=0 off)
[chain] qwen38: a step's pooled experts copied to the device first (16 places, 33.2 MiB)
[chain] qwen38: a prompt chunk's layer's pooled experts copied to the device while the layers before it run (246 places, 510.5 MiB; the most a layer has: 512)
[chain] qwen38: the card's 4961 slots are the chain's to fill (4961 held): up to 32 experts a forward promoted from the pool by this conversation's routes (COLI_CUDA_CHAIN_PROMOTE=0 keeps the warm start's set)
resident weights loaded in 1.7s | RSS after load: 4.57 GB
Generated (256 new tokens):
Text : 
TTFT: 1.95 s (time to first token)
[qwen38 spec gate] run: T(1) 29.4 ms, rows 2:1.42 3:2.22, rho 0.40, acceptance by position 0.63 0.50 0.50 0.50 0.50
[qwen38 lookup] run: 1.07 tokens/forward (238 forwards per 255 tokens) | acceptance 58.6% (17/29 drafts in 26 verifies) | gate on, 19 declined, 7 probes
[qwen38 timers] total: 239 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        5.062 s     21.179 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 timers] prefill: 1 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        0.937 s    936.505 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 timers] decode: 238 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        4.125 s     17.333 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 expert I/O] weight-ranges=0 scale-ranges=0 coalesced-gate-up=0 prefetched=0 parallel-batches=0 resident-scales=0.00 MiB

PEAK RSS: 54.50 GB
[qtier] resident 4961/24576 experts | uploads 4961 | miss(CPU) 0 | q_skips 0
[qtier]   dev 0: hits 0 | 773 tensors, 3.09 GB VRAM used (4.59 GB trunk + experts, budget 10.11 GB)
[qtier] VRAM hit rate: 0.0 % | swaps 0 (0 in place)
Expert cache hit rate: 0.0% (hit=0 miss=0)
Speed: 29.07 tok/s (8.8s for 256 tokens)
[chain] qwen38: 239 forwards, 481 frames (448912 ops, 184747 matmuls), 5061.8 ms waiting for the device, 0.0 ms of routed experts on the host, 1011.6 MiB on the device; per decode step 17.33 ms waiting, 0.00 ms of experts (238 steps)
[chain] qwen38: 11472 layer steps with the routed experts in the frame, 0 of them hybrid (0 slots on the host in 0.0 ms, 0.0 ms waiting for the device's routes), 36747 slots from the host pool
[chain] qwen38: 48 prompt layer steps staged the host pool's experts (23.25 GB copied over the bus)
[chain] qwen38: 3386 experts promoted to the card (3386 residents back to the pool), 16 on their way
	Command being timed: "/workspace/bin/qwen38-dev 128 8 /workspace/prova/prompt120.txt"
	User time (seconds): 984.34
	System time (seconds): 74.34
	Percent of CPU this job got: 2019%
	Elapsed (wall clock) time (h:mm:ss or m:ss): 0:52.43
	Average shared text size (kbytes): 0
	Average unshared data size (kbytes): 0
	Average stack size (kbytes): 0
	Average total size (kbytes): 0
	Maximum resident set size (kbytes): 57143408
	Average resident set size (kbytes): 0
	Major (requiring I/O) page faults: 0
	Minor (reclaiming a frame) page faults: 1410395
	Voluntary context switches: 135975
	Involuntary context switches: 826
	Swaps: 0
	File system inputs: 0
	File system outputs: 32
	Socket messages sent: 0
	Socket messages received: 0
	Signals delivered: 0
	Page size (bytes): 4096
	Exit status: 0
===== S-1-dev.out (sha256 28c6c02f8cfd9e4ea0035a5be36eb5ba9dc106fa9c019a1985cbeec794e000c0)
 "Do you not want to know who has taken it?" cried his wife impatiently. "You want to tell me, and I have no objection to hearing it." This was invitation enough. "Why, my dear, you must know, Mrs. Long says that Netherfield is taken by a young man of large fortune from the north of England; that he came down on Monday in a chaise and four to see the place, and was so much delighted with it, that he agreed with Mr. Morris immediately; that he is to take possession before Michaelmas, and some of his servants are to be in the house by the end of next week."

What is the name of the first character mentioned in the text?<|im_end|>
<|im_start|>assistant
<think>
The user is asking about the first character mentioned in the text. Let me look through the passage carefully.

The passage begins with general statements about "a single man in possession of a good fortune" - but this is a general statement, not a specific character.

The first specific character named in the text is "Mr. Bennet" - he appears in the dialogue: "My dear Mr. Bennet," said his lady to him one day.

Wait, let me re-read. The

===== S-2-pr.err (sha256 1fd8fae2c93ed7ef3a258cafc7e3c807ffce039e2d72a7a80965a86f915fb3f9)
[gguf] /workspace/models/q38-gguf/UD-Q2_K_XL/Qwen3.8-Flash-Next-UD-Q2_K_XL-00001-of-00003.gguf: 3 file(s), 1224 tensors, read in place (native ggml types, no conversion)
== Qwen3.8-Flash-Next native text engine | cache=128/layer | CPU ==
[tok] loaded 248320 base pieces + 33 added tokens (max id 248319) from /workspace/models/q38-colibri/tokenizer.json
[enc] prompt tokens: 150 | generating 256 new tokens
[qwen38] native text weights: prefix=model, 48 layers, PLE=1, cache=128/layer, FP8=native, BF16=native (resident matrices 3.73 GiB)
[qwen38] speculative decoding with the MTP head: off (the GGUF has none; tools/gguf_import.py --mtp names an mtp-*.gguf; Q38_MTP=0 silences this)
[qtier] qwen38: 2.51 GiB kept for the CUDA chain (its mirrors at 8192 positions, its scratch and own matrices)
[qtier] RAM holds 128 of 512 experts a layer: the tier copies each expert it takes as it passes
[qtier] COLI_GPUS unset: selecting 1 visible device(s)
[CUDA] device 0: NVIDIA RTX PRO 4000 Blackwell, 25.2 GB VRAM, sm_120
[qtier] dev 0: 23.2 GB free, allowance 14.7 GB
[place] auto: dev 0 holds 5647.2 MB of trunk (lmhead yes, 0 dnproj layers), 9.19 GB left for experts
[qtier] dev 0: budget 9.19 GB for experts (~4508 experts) after trunk
[qtier] dev 0: the GGUF experts' arena, 4508 slots of 2.09 MB (9.19 GB)
[qtier] CUDA VRAM expert tier active: 1 device(s), 2.09 MB/expert, copied as they pass
[CUDA] mode: routed experts (qwen36 VRAM tier)
[qtier] qwen38: the GGUF's experts on the CUDA tier as the file has them (RAM LRU 128/layer; experts go to VRAM as they get hot)
[qtier] qwen38 trunk: 553 of 553 offered matrices resident (int8, a GGUF's blocks as they are; 3.00 GiB) in 1.2s; the rest answers from the CPU
[qwen38] trunk: 60 matrices int8 on the CPU (0.08 GiB, 0.27 GiB of BF16 released) in 0.0s; Q38_TRUNK_CPU_INT8=0 keeps BF16
[chain] qwen38: a decode step's routed experts in the frame (the tier's residents by address, format 100 (a GGUF's blocks, by layer), group 0; COLI_CUDA_CHAIN_MOE=0: the host's step)
[chain] qwen38: 48 layers on CUDA device 0 (12 QSA), the final mixer and lm_head too; 3.37 GiB of the tier's trunk, 174.2 MiB uploaded by the chain, 9.8 MiB of parameters
[qwen38] routed experts: GGUF IQ2_XS/IQ2_XS/IQ4_NL (layer 0), 1.78 MiB per expert; cache 128/layer
[USAGE] expert history: 134880 selections (/workspace/prova/storia)
[qtier] qwen38: warm start, 4508 of the GGUF's experts in VRAM, the history's most used first (.coli_usage) -- 1.8 s
[chain] qwen38: host pool, every expert (the 20068 the card leaves and its own 4508) in 49.80 GiB of page-locked RAM the device reads over the bus (21.7 s to allocate, 1.2 s to read; COLI_CUDA_CHAIN_POOL=0 off)
[chain] qwen38: a step's pooled experts copied to the device first (16 places, 33.2 MiB)
[chain] qwen38: a prompt chunk's layer's pooled experts copied to the device while the layers before it run (246 places, 510.5 MiB; the most a layer has: 512)
[chain] qwen38: the card's 4508 slots are the chain's to fill (4508 held): up to 32 experts a forward promoted from the pool by this conversation's routes (COLI_CUDA_CHAIN_PROMOTE=0 keeps the warm start's set)
resident weights loaded in 1.7s | RSS after load: 4.55 GB
Generated (256 new tokens):
Text : 
TTFT: 2.08 s (time to first token)
[qwen38 spec gate] run: T(1) 30.8 ms, rows 2:1.42 3:2.24, rho 0.41, acceptance by position 0.63 0.50 0.50 0.50 0.50
[qwen38 lookup] run: 1.07 tokens/forward (238 forwards per 255 tokens) | acceptance 58.6% (17/29 drafts in 26 verifies) | gate on, 19 declined, 7 probes
[qwen38 timers] total: 239 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        5.298 s     22.169 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 timers] prefill: 1 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        1.048 s   1048.158 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 timers] decode: 238 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        4.250 s     17.858 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 expert I/O] weight-ranges=0 scale-ranges=0 coalesced-gate-up=0 prefetched=0 parallel-batches=0 resident-scales=0.00 MiB

PEAK RSS: 54.49 GB
[qtier] resident 4508/24576 experts | uploads 4508 | miss(CPU) 0 | q_skips 0
[qtier]   dev 0: hits 0 | 773 tensors, 3.09 GB VRAM used (5.51 GB trunk + experts, budget 9.19 GB)
[qtier] VRAM hit rate: 0.0 % | swaps 0 (0 in place)
Expert cache hit rate: 0.0% (hit=0 miss=0)
Speed: 27.94 tok/s (9.2s for 256 tokens)
[chain] qwen38: 239 forwards, 481 frames (448565 ops, 184747 matmuls), 5298.4 ms waiting for the device, 0.0 ms of routed experts on the host, 1011.6 MiB on the device; per decode step 17.86 ms waiting, 0.00 ms of experts (238 steps)
[chain] qwen38: 11472 layer steps with the routed experts in the frame, 0 of them hybrid (0 slots on the host in 0.0 ms, 0.0 ms waiting for the device's routes), 41542 slots from the host pool
[chain] qwen38: 48 prompt layer steps staged the host pool's experts (23.31 GB copied over the bus)
[chain] qwen38: 3228 experts promoted to the card (3228 residents back to the pool), 31 on their way
	Command being timed: "/workspace/bin/qwen38-pr 128 8 /workspace/prova/prompt120.txt"
	User time (seconds): 965.35
	System time (seconds): 72.25
	Percent of CPU this job got: 2026%
	Elapsed (wall clock) time (h:mm:ss or m:ss): 0:51.20
	Average shared text size (kbytes): 0
	Average unshared data size (kbytes): 0
	Average stack size (kbytes): 0
	Average total size (kbytes): 0
	Maximum resident set size (kbytes): 57132596
	Average resident set size (kbytes): 0
	Major (requiring I/O) page faults: 0
	Minor (reclaiming a frame) page faults: 1407404
	Voluntary context switches: 119779
	Involuntary context switches: 1300
	Swaps: 0
	File system inputs: 0
	File system outputs: 72
	Socket messages sent: 0
	Socket messages received: 0
	Signals delivered: 0
	Page size (bytes): 4096
	Exit status: 0
===== S-2-pr.out (sha256 28c6c02f8cfd9e4ea0035a5be36eb5ba9dc106fa9c019a1985cbeec794e000c0)
 "Do you not want to know who has taken it?" cried his wife impatiently. "You want to tell me, and I have no objection to hearing it." This was invitation enough. "Why, my dear, you must know, Mrs. Long says that Netherfield is taken by a young man of large fortune from the north of England; that he came down on Monday in a chaise and four to see the place, and was so much delighted with it, that he agreed with Mr. Morris immediately; that he is to take possession before Michaelmas, and some of his servants are to be in the house by the end of next week."

What is the name of the first character mentioned in the text?<|im_end|>
<|im_start|>assistant
<think>
The user is asking about the first character mentioned in the text. Let me look through the passage carefully.

The passage begins with general statements about "a single man in possession of a good fortune" - but this is a general statement, not a specific character.

The first specific character named in the text is "Mr. Bennet" - he appears in the dialogue: "My dear Mr. Bennet," said his lady to him one day.

Wait, let me re-read. The

===== S-3-pr.err (sha256 0fa2466e6bd4800daa7b0f61a59e4c222aa92799213ecc8039fea80494452940)
[gguf] /workspace/models/q38-gguf/UD-Q2_K_XL/Qwen3.8-Flash-Next-UD-Q2_K_XL-00001-of-00003.gguf: 3 file(s), 1224 tensors, read in place (native ggml types, no conversion)
== Qwen3.8-Flash-Next native text engine | cache=128/layer | CPU ==
[tok] loaded 248320 base pieces + 33 added tokens (max id 248319) from /workspace/models/q38-colibri/tokenizer.json
[enc] prompt tokens: 150 | generating 256 new tokens
[qwen38] native text weights: prefix=model, 48 layers, PLE=1, cache=128/layer, FP8=native, BF16=native (resident matrices 3.73 GiB)
[qwen38] speculative decoding with the MTP head: off (the GGUF has none; tools/gguf_import.py --mtp names an mtp-*.gguf; Q38_MTP=0 silences this)
[qtier] qwen38: 2.51 GiB kept for the CUDA chain (its mirrors at 8192 positions, its scratch and own matrices)
[qtier] RAM holds 128 of 512 experts a layer: the tier copies each expert it takes as it passes
[qtier] COLI_GPUS unset: selecting 1 visible device(s)
[CUDA] device 0: NVIDIA RTX PRO 4000 Blackwell, 25.2 GB VRAM, sm_120
[qtier] dev 0: 23.2 GB free, allowance 14.7 GB
[place] auto: dev 0 holds 5647.2 MB of trunk (lmhead yes, 0 dnproj layers), 9.19 GB left for experts
[qtier] dev 0: budget 9.19 GB for experts (~4508 experts) after trunk
[qtier] dev 0: the GGUF experts' arena, 4508 slots of 2.09 MB (9.19 GB)
[qtier] CUDA VRAM expert tier active: 1 device(s), 2.09 MB/expert, copied as they pass
[CUDA] mode: routed experts (qwen36 VRAM tier)
[qtier] qwen38: the GGUF's experts on the CUDA tier as the file has them (RAM LRU 128/layer; experts go to VRAM as they get hot)
[qtier] qwen38 trunk: 553 of 553 offered matrices resident (int8, a GGUF's blocks as they are; 3.00 GiB) in 1.2s; the rest answers from the CPU
[qwen38] trunk: 60 matrices int8 on the CPU (0.08 GiB, 0.27 GiB of BF16 released) in 0.0s; Q38_TRUNK_CPU_INT8=0 keeps BF16
[chain] qwen38: a decode step's routed experts in the frame (the tier's residents by address, format 100 (a GGUF's blocks, by layer), group 0; COLI_CUDA_CHAIN_MOE=0: the host's step)
[chain] qwen38: 48 layers on CUDA device 0 (12 QSA), the final mixer and lm_head too; 3.37 GiB of the tier's trunk, 174.2 MiB uploaded by the chain, 9.8 MiB of parameters
[qwen38] routed experts: GGUF IQ2_XS/IQ2_XS/IQ4_NL (layer 0), 1.78 MiB per expert; cache 128/layer
[USAGE] expert history: 134880 selections (/workspace/prova/storia)
[qtier] qwen38: warm start, 4508 of the GGUF's experts in VRAM, the history's most used first (.coli_usage) -- 2.2 s
[chain] qwen38: host pool, every expert (the 20068 the card leaves and its own 4508) in 49.80 GiB of page-locked RAM the device reads over the bus (22.7 s to allocate, 1.2 s to read; COLI_CUDA_CHAIN_POOL=0 off)
[chain] qwen38: a step's pooled experts copied to the device first (16 places, 33.2 MiB)
[chain] qwen38: a prompt chunk's layer's pooled experts copied to the device while the layers before it run (246 places, 510.5 MiB; the most a layer has: 512)
[chain] qwen38: the card's 4508 slots are the chain's to fill (4508 held): up to 32 experts a forward promoted from the pool by this conversation's routes (COLI_CUDA_CHAIN_PROMOTE=0 keeps the warm start's set)
resident weights loaded in 1.7s | RSS after load: 4.54 GB
Generated (256 new tokens):
Text : 
TTFT: 2.07 s (time to first token)
[qwen38 spec gate] run: T(1) 30.7 ms, rows 2:1.42 3:2.24, rho 0.42, acceptance by position 0.63 0.50 0.50 0.50 0.50
[qwen38 lookup] run: 1.07 tokens/forward (238 forwards per 255 tokens) | acceptance 58.6% (17/29 drafts in 26 verifies) | gate on, 19 declined, 7 probes
[qwen38 timers] total: 239 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        5.297 s     22.165 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 timers] prefill: 1 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        1.044 s   1044.225 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 timers] decode: 238 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        4.253 s     17.871 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 expert I/O] weight-ranges=0 scale-ranges=0 coalesced-gate-up=0 prefetched=0 parallel-batches=0 resident-scales=0.00 MiB

PEAK RSS: 54.47 GB
[qtier] resident 4508/24576 experts | uploads 4508 | miss(CPU) 0 | q_skips 0
[qtier]   dev 0: hits 0 | 773 tensors, 3.09 GB VRAM used (5.51 GB trunk + experts, budget 9.19 GB)
[qtier] VRAM hit rate: 0.0 % | swaps 0 (0 in place)
Expert cache hit rate: 0.0% (hit=0 miss=0)
Speed: 27.99 tok/s (9.1s for 256 tokens)
[chain] qwen38: 239 forwards, 481 frames (448522 ops, 184747 matmuls), 5297.5 ms waiting for the device, 0.0 ms of routed experts on the host, 1011.6 MiB on the device; per decode step 17.87 ms waiting, 0.00 ms of experts (238 steps)
[chain] qwen38: 11472 layer steps with the routed experts in the frame, 0 of them hybrid (0 slots on the host in 0.0 ms, 0.0 ms waiting for the device's routes), 41486 slots from the host pool
[chain] qwen38: 48 prompt layer steps staged the host pool's experts (23.31 GB copied over the bus)
[chain] qwen38: 3199 experts promoted to the card (3199 residents back to the pool), 26 on their way
	Command being timed: "/workspace/bin/qwen38-pr 128 8 /workspace/prova/prompt120.txt"
	User time (seconds): 992.43
	System time (seconds): 75.57
	Percent of CPU this job got: 2012%
	Elapsed (wall clock) time (h:mm:ss or m:ss): 0:53.07
	Average shared text size (kbytes): 0
	Average unshared data size (kbytes): 0
	Average stack size (kbytes): 0
	Average total size (kbytes): 0
	Maximum resident set size (kbytes): 57112640
	Average resident set size (kbytes): 0
	Major (requiring I/O) page faults: 0
	Minor (reclaiming a frame) page faults: 1402611
	Voluntary context switches: 153020
	Involuntary context switches: 1455
	Swaps: 0
	File system inputs: 0
	File system outputs: 56
	Socket messages sent: 0
	Socket messages received: 0
	Signals delivered: 0
	Page size (bytes): 4096
	Exit status: 0
===== S-3-pr.out (sha256 28c6c02f8cfd9e4ea0035a5be36eb5ba9dc106fa9c019a1985cbeec794e000c0)
 "Do you not want to know who has taken it?" cried his wife impatiently. "You want to tell me, and I have no objection to hearing it." This was invitation enough. "Why, my dear, you must know, Mrs. Long says that Netherfield is taken by a young man of large fortune from the north of England; that he came down on Monday in a chaise and four to see the place, and was so much delighted with it, that he agreed with Mr. Morris immediately; that he is to take possession before Michaelmas, and some of his servants are to be in the house by the end of next week."

What is the name of the first character mentioned in the text?<|im_end|>
<|im_start|>assistant
<think>
The user is asking about the first character mentioned in the text. Let me look through the passage carefully.

The passage begins with general statements about "a single man in possession of a good fortune" - but this is a general statement, not a specific character.

The first specific character named in the text is "Mr. Bennet" - he appears in the dialogue: "My dear Mr. Bennet," said his lady to him one day.

Wait, let me re-read. The

===== S-4-dev.err (sha256 720662fe996e4bee596f9c001a47b4a125340ca03a1e222a299c9b4b5aab88ec)
[gguf] /workspace/models/q38-gguf/UD-Q2_K_XL/Qwen3.8-Flash-Next-UD-Q2_K_XL-00001-of-00003.gguf: 3 file(s), 1224 tensors, read in place (native ggml types, no conversion)
== Qwen3.8-Flash-Next native text engine | cache=128/layer | CPU ==
[tok] loaded 248320 base pieces + 33 added tokens (max id 248319) from /workspace/models/q38-colibri/tokenizer.json
[enc] prompt tokens: 150 | generating 256 new tokens
[qwen38] native text weights: prefix=model, 48 layers, PLE=1, cache=128/layer, FP8=native, BF16=native (resident matrices 3.73 GiB)
[qwen38] speculative decoding with the MTP head: off (the GGUF has none; tools/gguf_import.py --mtp names an mtp-*.gguf; Q38_MTP=0 silences this)
[qtier] qwen38: 1.59 GiB kept for the CUDA chain (its mirrors at 8192 positions, its scratch and own matrices)
[qtier] RAM holds 128 of 512 experts a layer: the tier copies each expert it takes as it passes
[qtier] COLI_GPUS unset: selecting 1 visible device(s)
[CUDA] device 0: NVIDIA RTX PRO 4000 Blackwell, 25.2 GB VRAM, sm_120
[qtier] dev 0: 23.2 GB free, allowance 14.7 GB
[place] auto: dev 0 holds 4700.6 MB of trunk (lmhead yes, 0 dnproj layers), 10.11 GB left for experts
[qtier] dev 0: budget 10.11 GB for experts (~4961 experts) after trunk
[qtier] dev 0: the GGUF experts' arena, 4961 slots of 2.09 MB (10.11 GB)
[qtier] CUDA VRAM expert tier active: 1 device(s), 2.09 MB/expert, copied as they pass
[CUDA] mode: routed experts (qwen36 VRAM tier)
[qtier] qwen38: the GGUF's experts on the CUDA tier as the file has them (RAM LRU 128/layer; experts go to VRAM as they get hot)
[qtier] qwen38 trunk: 553 of 553 offered matrices resident (int8, a GGUF's blocks as they are; 3.00 GiB) in 1.2s; the rest answers from the CPU
[qwen38] trunk: 60 matrices int8 on the CPU (0.08 GiB, 0.27 GiB of BF16 released) in 0.0s; Q38_TRUNK_CPU_INT8=0 keeps BF16
[chain] qwen38: a decode step's routed experts in the frame (the tier's residents by address, format 100 (a GGUF's blocks, by layer), group 0; COLI_CUDA_CHAIN_MOE=0: the host's step)
[chain] qwen38: 48 layers on CUDA device 0 (12 QSA), the final mixer and lm_head too; 3.37 GiB of the tier's trunk, 174.2 MiB uploaded by the chain, 9.8 MiB of parameters
[qwen38] routed experts: GGUF IQ2_XS/IQ2_XS/IQ4_NL (layer 0), 1.78 MiB per expert; cache 128/layer
[USAGE] expert history: 134880 selections (/workspace/prova/storia)
[qtier] qwen38: warm start, 4961 of the GGUF's experts in VRAM, the history's most used first (.coli_usage) -- 2.1 s
[chain] qwen38: host pool, every expert (the 19615 the card leaves and its own 4961) in 49.80 GiB of page-locked RAM the device reads over the bus (21.8 s to allocate, 1.2 s to read; COLI_CUDA_CHAIN_POOL=0 off)
[chain] qwen38: a step's pooled experts copied to the device first (16 places, 33.2 MiB)
[chain] qwen38: a prompt chunk's layer's pooled experts copied to the device while the layers before it run (246 places, 510.5 MiB; the most a layer has: 512)
[chain] qwen38: the card's 4961 slots are the chain's to fill (4961 held): up to 32 experts a forward promoted from the pool by this conversation's routes (COLI_CUDA_CHAIN_PROMOTE=0 keeps the warm start's set)
resident weights loaded in 1.8s | RSS after load: 4.56 GB
Generated (256 new tokens):
Text : 
TTFT: 1.97 s (time to first token)
[qwen38 spec gate] run: T(1) 29.4 ms, rows 2:1.43 3:2.26, rho 0.41, acceptance by position 0.63 0.50 0.50 0.50 0.50
[qwen38 lookup] run: 1.07 tokens/forward (238 forwards per 255 tokens) | acceptance 58.6% (17/29 drafts in 26 verifies) | gate on, 19 declined, 7 probes
[qwen38 timers] total: 239 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        5.062 s     21.180 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 timers] prefill: 1 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        0.942 s    941.801 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 timers] decode: 238 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        4.120 s     17.312 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 expert I/O] weight-ranges=0 scale-ranges=0 coalesced-gate-up=0 prefetched=0 parallel-batches=0 resident-scales=0.00 MiB

PEAK RSS: 54.49 GB
[qtier] resident 4961/24576 experts | uploads 4961 | miss(CPU) 0 | q_skips 0
[qtier]   dev 0: hits 0 | 773 tensors, 3.09 GB VRAM used (4.59 GB trunk + experts, budget 10.11 GB)
[qtier] VRAM hit rate: 0.0 % | swaps 0 (0 in place)
Expert cache hit rate: 0.0% (hit=0 miss=0)
Speed: 29.02 tok/s (8.8s for 256 tokens)
[chain] qwen38: 239 forwards, 481 frames (448817 ops, 184747 matmuls), 5062.1 ms waiting for the device, 0.0 ms of routed experts on the host, 1011.6 MiB on the device; per decode step 17.31 ms waiting, 0.00 ms of experts (238 steps)
[chain] qwen38: 11472 layer steps with the routed experts in the frame, 0 of them hybrid (0 slots on the host in 0.0 ms, 0.0 ms waiting for the device's routes), 36722 slots from the host pool
[chain] qwen38: 48 prompt layer steps staged the host pool's experts (23.25 GB copied over the bus)
[chain] qwen38: 3342 experts promoted to the card (3342 residents back to the pool), 18 on their way
	Command being timed: "/workspace/bin/qwen38-dev 128 8 /workspace/prova/prompt120.txt"
	User time (seconds): 957.93
	System time (seconds): 73.26
	Percent of CPU this job got: 2013%
	Elapsed (wall clock) time (h:mm:ss or m:ss): 0:51.20
	Average shared text size (kbytes): 0
	Average unshared data size (kbytes): 0
	Average stack size (kbytes): 0
	Average total size (kbytes): 0
	Maximum resident set size (kbytes): 57140668
	Average resident set size (kbytes): 0
	Major (requiring I/O) page faults: 0
	Minor (reclaiming a frame) page faults: 1409482
	Voluntary context switches: 144215
	Involuntary context switches: 1313
	Swaps: 0
	File system inputs: 0
	File system outputs: 56
	Socket messages sent: 0
	Socket messages received: 0
	Signals delivered: 0
	Page size (bytes): 4096
	Exit status: 0
===== S-4-dev.out (sha256 28c6c02f8cfd9e4ea0035a5be36eb5ba9dc106fa9c019a1985cbeec794e000c0)
 "Do you not want to know who has taken it?" cried his wife impatiently. "You want to tell me, and I have no objection to hearing it." This was invitation enough. "Why, my dear, you must know, Mrs. Long says that Netherfield is taken by a young man of large fortune from the north of England; that he came down on Monday in a chaise and four to see the place, and was so much delighted with it, that he agreed with Mr. Morris immediately; that he is to take possession before Michaelmas, and some of his servants are to be in the house by the end of next week."

What is the name of the first character mentioned in the text?<|im_end|>
<|im_start|>assistant
<think>
The user is asking about the first character mentioned in the text. Let me look through the passage carefully.

The passage begins with general statements about "a single man in possession of a good fortune" - but this is a general statement, not a specific character.

The first specific character named in the text is "Mr. Bennet" - he appears in the dialogue: "My dear Mr. Bennet," said his lady to him one day.

Wait, let me re-read. The

===== S-5-dev.err (sha256 8f4c5627a97465b4218e25c46d180f19f2656b3dd145f02039af9fa595a56014)
[gguf] /workspace/models/q38-gguf/UD-Q2_K_XL/Qwen3.8-Flash-Next-UD-Q2_K_XL-00001-of-00003.gguf: 3 file(s), 1224 tensors, read in place (native ggml types, no conversion)
== Qwen3.8-Flash-Next native text engine | cache=128/layer | CPU ==
[tok] loaded 248320 base pieces + 33 added tokens (max id 248319) from /workspace/models/q38-colibri/tokenizer.json
[enc] prompt tokens: 150 | generating 256 new tokens
[qwen38] native text weights: prefix=model, 48 layers, PLE=1, cache=128/layer, FP8=native, BF16=native (resident matrices 3.73 GiB)
[qwen38] speculative decoding with the MTP head: off (the GGUF has none; tools/gguf_import.py --mtp names an mtp-*.gguf; Q38_MTP=0 silences this)
[qtier] qwen38: 1.59 GiB kept for the CUDA chain (its mirrors at 8192 positions, its scratch and own matrices)
[qtier] RAM holds 128 of 512 experts a layer: the tier copies each expert it takes as it passes
[qtier] COLI_GPUS unset: selecting 1 visible device(s)
[CUDA] device 0: NVIDIA RTX PRO 4000 Blackwell, 25.2 GB VRAM, sm_120
[qtier] dev 0: 23.2 GB free, allowance 14.7 GB
[place] auto: dev 0 holds 4700.6 MB of trunk (lmhead yes, 0 dnproj layers), 10.11 GB left for experts
[qtier] dev 0: budget 10.11 GB for experts (~4961 experts) after trunk
[qtier] dev 0: the GGUF experts' arena, 4961 slots of 2.09 MB (10.11 GB)
[qtier] CUDA VRAM expert tier active: 1 device(s), 2.09 MB/expert, copied as they pass
[CUDA] mode: routed experts (qwen36 VRAM tier)
[qtier] qwen38: the GGUF's experts on the CUDA tier as the file has them (RAM LRU 128/layer; experts go to VRAM as they get hot)
[qtier] qwen38 trunk: 553 of 553 offered matrices resident (int8, a GGUF's blocks as they are; 3.00 GiB) in 1.2s; the rest answers from the CPU
[qwen38] trunk: 60 matrices int8 on the CPU (0.08 GiB, 0.27 GiB of BF16 released) in 0.0s; Q38_TRUNK_CPU_INT8=0 keeps BF16
[chain] qwen38: a decode step's routed experts in the frame (the tier's residents by address, format 100 (a GGUF's blocks, by layer), group 0; COLI_CUDA_CHAIN_MOE=0: the host's step)
[chain] qwen38: 48 layers on CUDA device 0 (12 QSA), the final mixer and lm_head too; 3.37 GiB of the tier's trunk, 174.2 MiB uploaded by the chain, 9.8 MiB of parameters
[qwen38] routed experts: GGUF IQ2_XS/IQ2_XS/IQ4_NL (layer 0), 1.78 MiB per expert; cache 128/layer
[USAGE] expert history: 134880 selections (/workspace/prova/storia)
[qtier] qwen38: warm start, 4961 of the GGUF's experts in VRAM, the history's most used first (.coli_usage) -- 2.1 s
[chain] qwen38: host pool, every expert (the 19615 the card leaves and its own 4961) in 49.80 GiB of page-locked RAM the device reads over the bus (22.8 s to allocate, 1.1 s to read; COLI_CUDA_CHAIN_POOL=0 off)
[chain] qwen38: a step's pooled experts copied to the device first (16 places, 33.2 MiB)
[chain] qwen38: a prompt chunk's layer's pooled experts copied to the device while the layers before it run (246 places, 510.5 MiB; the most a layer has: 512)
[chain] qwen38: the card's 4961 slots are the chain's to fill (4961 held): up to 32 experts a forward promoted from the pool by this conversation's routes (COLI_CUDA_CHAIN_PROMOTE=0 keeps the warm start's set)
resident weights loaded in 1.7s | RSS after load: 4.56 GB
Generated (256 new tokens):
Text : 
TTFT: 1.95 s (time to first token)
[qwen38 spec gate] run: T(1) 29.4 ms, rows 2:1.43 3:2.24, rho 0.41, acceptance by position 0.63 0.50 0.50 0.50 0.50
[qwen38 lookup] run: 1.07 tokens/forward (238 forwards per 255 tokens) | acceptance 58.6% (17/29 drafts in 26 verifies) | gate on, 19 declined, 7 probes
[qwen38 timers] total: 239 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        5.069 s     21.209 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 timers] prefill: 1 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        0.937 s    937.087 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 timers] decode: 238 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        4.132 s     17.361 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 expert I/O] weight-ranges=0 scale-ranges=0 coalesced-gate-up=0 prefetched=0 parallel-batches=0 resident-scales=0.00 MiB

PEAK RSS: 54.49 GB
[qtier] resident 4961/24576 experts | uploads 4961 | miss(CPU) 0 | q_skips 0
[qtier]   dev 0: hits 0 | 773 tensors, 3.09 GB VRAM used (4.59 GB trunk + experts, budget 10.11 GB)
[qtier] VRAM hit rate: 0.0 % | swaps 0 (0 in place)
Expert cache hit rate: 0.0% (hit=0 miss=0)
Speed: 29.02 tok/s (8.8s for 256 tokens)
[chain] qwen38: 239 forwards, 481 frames (448951 ops, 184747 matmuls), 5069.0 ms waiting for the device, 0.0 ms of routed experts on the host, 1011.6 MiB on the device; per decode step 17.36 ms waiting, 0.00 ms of experts (238 steps)
[chain] qwen38: 11472 layer steps with the routed experts in the frame, 0 of them hybrid (0 slots on the host in 0.0 ms, 0.0 ms waiting for the device's routes), 36769 slots from the host pool
[chain] qwen38: 48 prompt layer steps staged the host pool's experts (23.25 GB copied over the bus)
[chain] qwen38: 3410 experts promoted to the card (3410 residents back to the pool), 19 on their way
	Command being timed: "/workspace/bin/qwen38-dev 128 8 /workspace/prova/prompt120.txt"
	User time (seconds): 983.45
	System time (seconds): 74.43
	Percent of CPU this job got: 2017%
	Elapsed (wall clock) time (h:mm:ss or m:ss): 0:52.44
	Average shared text size (kbytes): 0
	Average unshared data size (kbytes): 0
	Average stack size (kbytes): 0
	Average total size (kbytes): 0
	Maximum resident set size (kbytes): 57136232
	Average resident set size (kbytes): 0
	Major (requiring I/O) page faults: 0
	Minor (reclaiming a frame) page faults: 1408563
	Voluntary context switches: 156424
	Involuntary context switches: 1374
	Swaps: 0
	File system inputs: 0
	File system outputs: 56
	Socket messages sent: 0
	Socket messages received: 0
	Signals delivered: 0
	Page size (bytes): 4096
	Exit status: 0
===== S-5-dev.out (sha256 28c6c02f8cfd9e4ea0035a5be36eb5ba9dc106fa9c019a1985cbeec794e000c0)
 "Do you not want to know who has taken it?" cried his wife impatiently. "You want to tell me, and I have no objection to hearing it." This was invitation enough. "Why, my dear, you must know, Mrs. Long says that Netherfield is taken by a young man of large fortune from the north of England; that he came down on Monday in a chaise and four to see the place, and was so much delighted with it, that he agreed with Mr. Morris immediately; that he is to take possession before Michaelmas, and some of his servants are to be in the house by the end of next week."

What is the name of the first character mentioned in the text?<|im_end|>
<|im_start|>assistant
<think>
The user is asking about the first character mentioned in the text. Let me look through the passage carefully.

The passage begins with general statements about "a single man in possession of a good fortune" - but this is a general statement, not a specific character.

The first specific character named in the text is "Mr. Bennet" - he appears in the dialogue: "My dear Mr. Bennet," said his lady to him one day.

Wait, let me re-read. The

===== S-6-pr.err (sha256 0daef0d872ad82688668491f459034cbbd99863e7cbc2928b2dee903fbd5230c)
[gguf] /workspace/models/q38-gguf/UD-Q2_K_XL/Qwen3.8-Flash-Next-UD-Q2_K_XL-00001-of-00003.gguf: 3 file(s), 1224 tensors, read in place (native ggml types, no conversion)
== Qwen3.8-Flash-Next native text engine | cache=128/layer | CPU ==
[tok] loaded 248320 base pieces + 33 added tokens (max id 248319) from /workspace/models/q38-colibri/tokenizer.json
[enc] prompt tokens: 150 | generating 256 new tokens
[qwen38] native text weights: prefix=model, 48 layers, PLE=1, cache=128/layer, FP8=native, BF16=native (resident matrices 3.73 GiB)
[qwen38] speculative decoding with the MTP head: off (the GGUF has none; tools/gguf_import.py --mtp names an mtp-*.gguf; Q38_MTP=0 silences this)
[qtier] qwen38: 2.51 GiB kept for the CUDA chain (its mirrors at 8192 positions, its scratch and own matrices)
[qtier] RAM holds 128 of 512 experts a layer: the tier copies each expert it takes as it passes
[qtier] COLI_GPUS unset: selecting 1 visible device(s)
[CUDA] device 0: NVIDIA RTX PRO 4000 Blackwell, 25.2 GB VRAM, sm_120
[qtier] dev 0: 23.2 GB free, allowance 14.7 GB
[place] auto: dev 0 holds 5647.2 MB of trunk (lmhead yes, 0 dnproj layers), 9.19 GB left for experts
[qtier] dev 0: budget 9.19 GB for experts (~4508 experts) after trunk
[qtier] dev 0: the GGUF experts' arena, 4508 slots of 2.09 MB (9.19 GB)
[qtier] CUDA VRAM expert tier active: 1 device(s), 2.09 MB/expert, copied as they pass
[CUDA] mode: routed experts (qwen36 VRAM tier)
[qtier] qwen38: the GGUF's experts on the CUDA tier as the file has them (RAM LRU 128/layer; experts go to VRAM as they get hot)
[qtier] qwen38 trunk: 553 of 553 offered matrices resident (int8, a GGUF's blocks as they are; 3.00 GiB) in 1.2s; the rest answers from the CPU
[qwen38] trunk: 60 matrices int8 on the CPU (0.08 GiB, 0.27 GiB of BF16 released) in 0.0s; Q38_TRUNK_CPU_INT8=0 keeps BF16
[chain] qwen38: a decode step's routed experts in the frame (the tier's residents by address, format 100 (a GGUF's blocks, by layer), group 0; COLI_CUDA_CHAIN_MOE=0: the host's step)
[chain] qwen38: 48 layers on CUDA device 0 (12 QSA), the final mixer and lm_head too; 3.37 GiB of the tier's trunk, 174.2 MiB uploaded by the chain, 9.8 MiB of parameters
[qwen38] routed experts: GGUF IQ2_XS/IQ2_XS/IQ4_NL (layer 0), 1.78 MiB per expert; cache 128/layer
[USAGE] expert history: 134880 selections (/workspace/prova/storia)
[qtier] qwen38: warm start, 4508 of the GGUF's experts in VRAM, the history's most used first (.coli_usage) -- 1.8 s
[chain] qwen38: host pool, every expert (the 20068 the card leaves and its own 4508) in 49.80 GiB of page-locked RAM the device reads over the bus (22.0 s to allocate, 1.2 s to read; COLI_CUDA_CHAIN_POOL=0 off)
[chain] qwen38: a step's pooled experts copied to the device first (16 places, 33.2 MiB)
[chain] qwen38: a prompt chunk's layer's pooled experts copied to the device while the layers before it run (246 places, 510.5 MiB; the most a layer has: 512)
[chain] qwen38: the card's 4508 slots are the chain's to fill (4508 held): up to 32 experts a forward promoted from the pool by this conversation's routes (COLI_CUDA_CHAIN_PROMOTE=0 keeps the warm start's set)
resident weights loaded in 1.8s | RSS after load: 4.54 GB
Generated (256 new tokens):
Text : 
TTFT: 2.08 s (time to first token)
[qwen38 spec gate] run: T(1) 30.7 ms, rows 2:1.43 3:2.26, rho 0.42, acceptance by position 0.63 0.50 0.50 0.50 0.50
[qwen38 lookup] run: 1.07 tokens/forward (238 forwards per 255 tokens) | acceptance 58.6% (17/29 drafts in 26 verifies) | gate on, 19 declined, 7 probes
[qwen38 timers] total: 239 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        5.293 s     22.146 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 timers] prefill: 1 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        1.048 s   1047.903 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 timers] decode: 238 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        4.245 s     17.837 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 expert I/O] weight-ranges=0 scale-ranges=0 coalesced-gate-up=0 prefetched=0 parallel-batches=0 resident-scales=0.00 MiB

PEAK RSS: 54.47 GB
[qtier] resident 4508/24576 experts | uploads 4508 | miss(CPU) 0 | q_skips 0
[qtier]   dev 0: hits 0 | 773 tensors, 3.09 GB VRAM used (5.51 GB trunk + experts, budget 9.19 GB)
[qtier] VRAM hit rate: 0.0 % | swaps 0 (0 in place)
Expert cache hit rate: 0.0% (hit=0 miss=0)
Speed: 27.93 tok/s (9.2s for 256 tokens)
[chain] qwen38: 239 forwards, 481 frames (448543 ops, 184747 matmuls), 5293.0 ms waiting for the device, 0.0 ms of routed experts on the host, 1011.6 MiB on the device; per decode step 17.84 ms waiting, 0.00 ms of experts (238 steps)
[chain] qwen38: 11472 layer steps with the routed experts in the frame, 0 of them hybrid (0 slots on the host in 0.0 ms, 0.0 ms waiting for the device's routes), 41546 slots from the host pool
[chain] qwen38: 48 prompt layer steps staged the host pool's experts (23.31 GB copied over the bus)
[chain] qwen38: 3205 experts promoted to the card (3205 residents back to the pool), 20 on their way
	Command being timed: "/workspace/bin/qwen38-pr 128 8 /workspace/prova/prompt120.txt"
	User time (seconds): 973.17
	System time (seconds): 73.54
	Percent of CPU this job got: 2025%
	Elapsed (wall clock) time (h:mm:ss or m:ss): 0:51.68
	Average shared text size (kbytes): 0
	Average unshared data size (kbytes): 0
	Average stack size (kbytes): 0
	Average total size (kbytes): 0
	Maximum resident set size (kbytes): 57115748
	Average resident set size (kbytes): 0
	Major (requiring I/O) page faults: 0
	Minor (reclaiming a frame) page faults: 1403227
	Voluntary context switches: 106162
	Involuntary context switches: 907
	Swaps: 0
	File system inputs: 0
	File system outputs: 56
	Socket messages sent: 0
	Socket messages received: 0
	Signals delivered: 0
	Page size (bytes): 4096
	Exit status: 0
===== S-6-pr.out (sha256 28c6c02f8cfd9e4ea0035a5be36eb5ba9dc106fa9c019a1985cbeec794e000c0)
 "Do you not want to know who has taken it?" cried his wife impatiently. "You want to tell me, and I have no objection to hearing it." This was invitation enough. "Why, my dear, you must know, Mrs. Long says that Netherfield is taken by a young man of large fortune from the north of England; that he came down on Monday in a chaise and four to see the place, and was so much delighted with it, that he agreed with Mr. Morris immediately; that he is to take possession before Michaelmas, and some of his servants are to be in the house by the end of next week."

What is the name of the first character mentioned in the text?<|im_end|>
<|im_start|>assistant
<think>
The user is asking about the first character mentioned in the text. Let me look through the passage carefully.

The passage begins with general statements about "a single man in possession of a good fortune" - but this is a general statement, not a specific character.

The first specific character named in the text is "Mr. Bennet" - he appears in the dialogue: "My dear Mr. Bennet," said his lady to him one day.

Wait, let me re-read. The

===== S-7-pr.err (sha256 3d65c12c4a224b0c30a018b1394a2e3455e9e120b1058d5321b454d9111b9c4e)
[gguf] /workspace/models/q38-gguf/UD-Q2_K_XL/Qwen3.8-Flash-Next-UD-Q2_K_XL-00001-of-00003.gguf: 3 file(s), 1224 tensors, read in place (native ggml types, no conversion)
== Qwen3.8-Flash-Next native text engine | cache=128/layer | CPU ==
[tok] loaded 248320 base pieces + 33 added tokens (max id 248319) from /workspace/models/q38-colibri/tokenizer.json
[enc] prompt tokens: 150 | generating 256 new tokens
[qwen38] native text weights: prefix=model, 48 layers, PLE=1, cache=128/layer, FP8=native, BF16=native (resident matrices 3.73 GiB)
[qwen38] speculative decoding with the MTP head: off (the GGUF has none; tools/gguf_import.py --mtp names an mtp-*.gguf; Q38_MTP=0 silences this)
[qtier] qwen38: 2.51 GiB kept for the CUDA chain (its mirrors at 8192 positions, its scratch and own matrices)
[qtier] RAM holds 128 of 512 experts a layer: the tier copies each expert it takes as it passes
[qtier] COLI_GPUS unset: selecting 1 visible device(s)
[CUDA] device 0: NVIDIA RTX PRO 4000 Blackwell, 25.2 GB VRAM, sm_120
[qtier] dev 0: 23.2 GB free, allowance 14.7 GB
[place] auto: dev 0 holds 5647.2 MB of trunk (lmhead yes, 0 dnproj layers), 9.19 GB left for experts
[qtier] dev 0: budget 9.19 GB for experts (~4508 experts) after trunk
[qtier] dev 0: the GGUF experts' arena, 4508 slots of 2.09 MB (9.19 GB)
[qtier] CUDA VRAM expert tier active: 1 device(s), 2.09 MB/expert, copied as they pass
[CUDA] mode: routed experts (qwen36 VRAM tier)
[qtier] qwen38: the GGUF's experts on the CUDA tier as the file has them (RAM LRU 128/layer; experts go to VRAM as they get hot)
[qtier] qwen38 trunk: 553 of 553 offered matrices resident (int8, a GGUF's blocks as they are; 3.00 GiB) in 1.2s; the rest answers from the CPU
[qwen38] trunk: 60 matrices int8 on the CPU (0.08 GiB, 0.27 GiB of BF16 released) in 0.0s; Q38_TRUNK_CPU_INT8=0 keeps BF16
[chain] qwen38: a decode step's routed experts in the frame (the tier's residents by address, format 100 (a GGUF's blocks, by layer), group 0; COLI_CUDA_CHAIN_MOE=0: the host's step)
[chain] qwen38: 48 layers on CUDA device 0 (12 QSA), the final mixer and lm_head too; 3.37 GiB of the tier's trunk, 174.2 MiB uploaded by the chain, 9.8 MiB of parameters
[qwen38] routed experts: GGUF IQ2_XS/IQ2_XS/IQ4_NL (layer 0), 1.78 MiB per expert; cache 128/layer
[USAGE] expert history: 134880 selections (/workspace/prova/storia)
[qtier] qwen38: warm start, 4508 of the GGUF's experts in VRAM, the history's most used first (.coli_usage) -- 1.7 s
[chain] qwen38: host pool, every expert (the 20068 the card leaves and its own 4508) in 49.80 GiB of page-locked RAM the device reads over the bus (22.8 s to allocate, 1.1 s to read; COLI_CUDA_CHAIN_POOL=0 off)
[chain] qwen38: a step's pooled experts copied to the device first (16 places, 33.2 MiB)
[chain] qwen38: a prompt chunk's layer's pooled experts copied to the device while the layers before it run (246 places, 510.5 MiB; the most a layer has: 512)
[chain] qwen38: the card's 4508 slots are the chain's to fill (4508 held): up to 32 experts a forward promoted from the pool by this conversation's routes (COLI_CUDA_CHAIN_PROMOTE=0 keeps the warm start's set)
resident weights loaded in 1.7s | RSS after load: 4.53 GB
Generated (256 new tokens):
Text : 
TTFT: 2.07 s (time to first token)
[qwen38 spec gate] run: T(1) 30.7 ms, rows 2:1.42 3:2.26, rho 0.41, acceptance by position 0.63 0.50 0.50 0.50 0.50
[qwen38 lookup] run: 1.07 tokens/forward (238 forwards per 255 tokens) | acceptance 58.6% (17/29 drafts in 26 verifies) | gate on, 19 declined, 7 probes
[qwen38 timers] total: 239 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        5.303 s     22.190 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 timers] prefill: 1 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        1.045 s   1045.482 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 timers] decode: 238 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        4.258 s     17.891 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 expert I/O] weight-ranges=0 scale-ranges=0 coalesced-gate-up=0 prefetched=0 parallel-batches=0 resident-scales=0.00 MiB

PEAK RSS: 54.47 GB
[qtier] resident 4508/24576 experts | uploads 4508 | miss(CPU) 0 | q_skips 0
[qtier]   dev 0: hits 0 | 773 tensors, 3.09 GB VRAM used (5.51 GB trunk + experts, budget 9.19 GB)
[qtier] VRAM hit rate: 0.0 % | swaps 0 (0 in place)
Expert cache hit rate: 0.0% (hit=0 miss=0)
Speed: 27.92 tok/s (9.2s for 256 tokens)
[chain] qwen38: 239 forwards, 481 frames (448671 ops, 184747 matmuls), 5303.4 ms waiting for the device, 0.0 ms of routed experts on the host, 1011.6 MiB on the device; per decode step 17.89 ms waiting, 0.00 ms of experts (238 steps)
[chain] qwen38: 11472 layer steps with the routed experts in the frame, 0 of them hybrid (0 slots on the host in 0.0 ms, 0.0 ms waiting for the device's routes), 41582 slots from the host pool
[chain] qwen38: 48 prompt layer steps staged the host pool's experts (23.31 GB copied over the bus)
[chain] qwen38: 3279 experts promoted to the card (3279 residents back to the pool), 31 on their way
	Command being timed: "/workspace/bin/qwen38-pr 128 8 /workspace/prova/prompt120.txt"
	User time (seconds): 993.48
	System time (seconds): 73.95
	Percent of CPU this job got: 2032%
	Elapsed (wall clock) time (h:mm:ss or m:ss): 0:52.50
	Average shared text size (kbytes): 0
	Average unshared data size (kbytes): 0
	Average stack size (kbytes): 0
	Average total size (kbytes): 0
	Maximum resident set size (kbytes): 57111424
	Average resident set size (kbytes): 0
	Major (requiring I/O) page faults: 0
	Minor (reclaiming a frame) page faults: 1402240
	Voluntary context switches: 99789
	Involuntary context switches: 724
	Swaps: 0
	File system inputs: 0
	File system outputs: 72
	Socket messages sent: 0
	Socket messages received: 0
	Signals delivered: 0
	Page size (bytes): 4096
	Exit status: 0
===== S-7-pr.out (sha256 28c6c02f8cfd9e4ea0035a5be36eb5ba9dc106fa9c019a1985cbeec794e000c0)
 "Do you not want to know who has taken it?" cried his wife impatiently. "You want to tell me, and I have no objection to hearing it." This was invitation enough. "Why, my dear, you must know, Mrs. Long says that Netherfield is taken by a young man of large fortune from the north of England; that he came down on Monday in a chaise and four to see the place, and was so much delighted with it, that he agreed with Mr. Morris immediately; that he is to take possession before Michaelmas, and some of his servants are to be in the house by the end of next week."

What is the name of the first character mentioned in the text?<|im_end|>
<|im_start|>assistant
<think>
The user is asking about the first character mentioned in the text. Let me look through the passage carefully.

The passage begins with general statements about "a single man in possession of a good fortune" - but this is a general statement, not a specific character.

The first specific character named in the text is "Mr. Bennet" - he appears in the dialogue: "My dear Mr. Bennet," said his lady to him one day.

Wait, let me re-read. The

===== S-8-dev.err (sha256 47ff3d23e30ffbd07d3594aeb865c063ecd53e6cfd37cd7cd0ddb2ce2812cd42)
[gguf] /workspace/models/q38-gguf/UD-Q2_K_XL/Qwen3.8-Flash-Next-UD-Q2_K_XL-00001-of-00003.gguf: 3 file(s), 1224 tensors, read in place (native ggml types, no conversion)
== Qwen3.8-Flash-Next native text engine | cache=128/layer | CPU ==
[tok] loaded 248320 base pieces + 33 added tokens (max id 248319) from /workspace/models/q38-colibri/tokenizer.json
[enc] prompt tokens: 150 | generating 256 new tokens
[qwen38] native text weights: prefix=model, 48 layers, PLE=1, cache=128/layer, FP8=native, BF16=native (resident matrices 3.73 GiB)
[qwen38] speculative decoding with the MTP head: off (the GGUF has none; tools/gguf_import.py --mtp names an mtp-*.gguf; Q38_MTP=0 silences this)
[qtier] qwen38: 1.59 GiB kept for the CUDA chain (its mirrors at 8192 positions, its scratch and own matrices)
[qtier] RAM holds 128 of 512 experts a layer: the tier copies each expert it takes as it passes
[qtier] COLI_GPUS unset: selecting 1 visible device(s)
[CUDA] device 0: NVIDIA RTX PRO 4000 Blackwell, 25.2 GB VRAM, sm_120
[qtier] dev 0: 23.2 GB free, allowance 14.7 GB
[place] auto: dev 0 holds 4700.6 MB of trunk (lmhead yes, 0 dnproj layers), 10.11 GB left for experts
[qtier] dev 0: budget 10.11 GB for experts (~4961 experts) after trunk
[qtier] dev 0: the GGUF experts' arena, 4961 slots of 2.09 MB (10.11 GB)
[qtier] CUDA VRAM expert tier active: 1 device(s), 2.09 MB/expert, copied as they pass
[CUDA] mode: routed experts (qwen36 VRAM tier)
[qtier] qwen38: the GGUF's experts on the CUDA tier as the file has them (RAM LRU 128/layer; experts go to VRAM as they get hot)
[qtier] qwen38 trunk: 553 of 553 offered matrices resident (int8, a GGUF's blocks as they are; 3.00 GiB) in 1.2s; the rest answers from the CPU
[qwen38] trunk: 60 matrices int8 on the CPU (0.08 GiB, 0.27 GiB of BF16 released) in 0.0s; Q38_TRUNK_CPU_INT8=0 keeps BF16
[chain] qwen38: a decode step's routed experts in the frame (the tier's residents by address, format 100 (a GGUF's blocks, by layer), group 0; COLI_CUDA_CHAIN_MOE=0: the host's step)
[chain] qwen38: 48 layers on CUDA device 0 (12 QSA), the final mixer and lm_head too; 3.37 GiB of the tier's trunk, 174.2 MiB uploaded by the chain, 9.8 MiB of parameters
[qwen38] routed experts: GGUF IQ2_XS/IQ2_XS/IQ4_NL (layer 0), 1.78 MiB per expert; cache 128/layer
[USAGE] expert history: 134880 selections (/workspace/prova/storia)
[qtier] qwen38: warm start, 4961 of the GGUF's experts in VRAM, the history's most used first (.coli_usage) -- 2.0 s
[chain] qwen38: host pool, every expert (the 19615 the card leaves and its own 4961) in 49.80 GiB of page-locked RAM the device reads over the bus (21.7 s to allocate, 1.2 s to read; COLI_CUDA_CHAIN_POOL=0 off)
[chain] qwen38: a step's pooled experts copied to the device first (16 places, 33.2 MiB)
[chain] qwen38: a prompt chunk's layer's pooled experts copied to the device while the layers before it run (246 places, 510.5 MiB; the most a layer has: 512)
[chain] qwen38: the card's 4961 slots are the chain's to fill (4961 held): up to 32 experts a forward promoted from the pool by this conversation's routes (COLI_CUDA_CHAIN_PROMOTE=0 keeps the warm start's set)
resident weights loaded in 1.7s | RSS after load: 4.57 GB
Generated (256 new tokens):
Text : 
TTFT: 1.96 s (time to first token)
[qwen38 spec gate] run: T(1) 29.5 ms, rows 2:1.43 3:2.25, rho 0.41, acceptance by position 0.63 0.50 0.50 0.50 0.50
[qwen38 lookup] run: 1.07 tokens/forward (238 forwards per 255 tokens) | acceptance 58.6% (17/29 drafts in 26 verifies) | gate on, 19 declined, 7 probes
[qwen38 timers] total: 239 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        5.073 s     21.225 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 timers] prefill: 1 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        0.942 s    941.547 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 timers] decode: 238 forwards
[qwen38 timers]   expert-read        0.000 s      0.000 ms/forward
[qwen38 timers]   fp8-expand         0.000 s      0.000 ms/forward
[qwen38 timers]   routed-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   shared-expert      0.000 s      0.000 ms/forward
[qwen38 timers]   resident-mm        4.131 s     17.358 ms/forward
[qwen38 timers]   deltanet           0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-index          0.000 s      0.000 ms/forward
[qwen38 timers]   qsa-attn           0.000 s      0.000 ms/forward
[qwen38 timers]   ple                0.000 s      0.000 ms/forward
[qwen38 timers]   lm-head            0.000 s      0.000 ms/forward
[qwen38 timers]   dn-recur           0.000 s      0.000 ms/forward
[qwen38 timers]   dn-snap            0.000 s      0.000 ms/forward
[qwen38 timers]   lm-draft           0.000 s      0.000 ms/forward
[qwen38 timers] architecture phases overlap resident-mm; expert-read is disk service and fp8-expand is synchronous miss work
[qwen38 expert I/O] weight-ranges=0 scale-ranges=0 coalesced-gate-up=0 prefetched=0 parallel-batches=0 resident-scales=0.00 MiB

PEAK RSS: 54.51 GB
[qtier] resident 4961/24576 experts | uploads 4961 | miss(CPU) 0 | q_skips 0
[qtier]   dev 0: hits 0 | 773 tensors, 3.09 GB VRAM used (4.59 GB trunk + experts, budget 10.11 GB)
[qtier] VRAM hit rate: 0.0 % | swaps 0 (0 in place)
Expert cache hit rate: 0.0% (hit=0 miss=0)
Speed: 28.99 tok/s (8.8s for 256 tokens)
[chain] qwen38: 239 forwards, 481 frames (448976 ops, 184747 matmuls), 5072.7 ms waiting for the device, 0.0 ms of routed experts on the host, 1011.6 MiB on the device; per decode step 17.36 ms waiting, 0.00 ms of experts (238 steps)
[chain] qwen38: 11472 layer steps with the routed experts in the frame, 0 of them hybrid (0 slots on the host in 0.0 ms, 0.0 ms waiting for the device's routes), 36767 slots from the host pool
[chain] qwen38: 48 prompt layer steps staged the host pool's experts (23.25 GB copied over the bus)
[chain] qwen38: 3420 experts promoted to the card (3420 residents back to the pool), 18 on their way
	Command being timed: "/workspace/bin/qwen38-dev 128 8 /workspace/prova/prompt120.txt"
	User time (seconds): 955.56
	System time (seconds): 72.42
	Percent of CPU this job got: 2015%
	Elapsed (wall clock) time (h:mm:ss or m:ss): 0:51.01
	Average shared text size (kbytes): 0
	Average unshared data size (kbytes): 0
	Average stack size (kbytes): 0
	Average total size (kbytes): 0
	Maximum resident set size (kbytes): 57153352
	Average resident set size (kbytes): 0
	Major (requiring I/O) page faults: 0
	Minor (reclaiming a frame) page faults: 1412895
	Voluntary context switches: 136601
	Involuntary context switches: 2863
	Swaps: 0
	File system inputs: 0
	File system outputs: 64
	Socket messages sent: 0
	Socket messages received: 0
	Signals delivered: 0
	Page size (bytes): 4096
	Exit status: 0
===== S-8-dev.out (sha256 28c6c02f8cfd9e4ea0035a5be36eb5ba9dc106fa9c019a1985cbeec794e000c0)
 "Do you not want to know who has taken it?" cried his wife impatiently. "You want to tell me, and I have no objection to hearing it." This was invitation enough. "Why, my dear, you must know, Mrs. Long says that Netherfield is taken by a young man of large fortune from the north of England; that he came down on Monday in a chaise and four to see the place, and was so much delighted with it, that he agreed with Mr. Morris immediately; that he is to take possession before Michaelmas, and some of his servants are to be in the house by the end of next week."

What is the name of the first character mentioned in the text?<|im_end|>
<|im_start|>assistant
<think>
The user is asking about the first character mentioned in the text. Let me look through the passage carefully.

The passage begins with general statements about "a single man in possession of a good fortune" - but this is a general statement, not a specific character.

The first specific character named in the text is "Mr. Bennet" - he appears in the dialogue: "My dear Mr. Bennet," said his lady to him one day.

Wait, let me re-read. The

===== summary
v0: 512 rows a chunk, 1 chunk of a 150-token prompt, 48 prompt layer steps staged, 23.25 GiB over the bus (the median of 4 runs; the engine prints GiB as GB); ~4961 experts on the card
v0 prompt tok/s: 76.9, 76.1, 76.9, 76.5; median 76.7
v0 decode tok/s: 37.19, 37.22, 37.11, 37.11; median 37.15
v0 TTFT s: 1.95, 1.97, 1.95, 1.96; median 1.955
v0 peak RSS GB: 54.5, 54.49, 54.49, 54.51; median 54.495
v0 T(1) ms: 29.4, 29.4, 29.4, 29.5
v1: 2048 rows a chunk, 1 chunk of a 150-token prompt, 48 prompt layer steps staged, 23.31 GiB over the bus (the median of 4 runs; the engine prints GiB as GB); ~4508 experts on the card
v1 prompt tok/s: 72.1, 72.5, 72.1, 72.5; median 72.3
v1 decode tok/s: 36, 36.04, 35.99, 35.92; median 35.995
v1 TTFT s: 2.08, 2.07, 2.08, 2.07; median 2.075
v1 peak RSS GB: 54.49, 54.47, 54.47, 54.47; median 54.47
v1 T(1) ms: 30.8, 30.7, 30.7, 30.7
stdout sha256 in all 9 runs: 28c6c02f8cfd9e4ea0035a5be36eb5ba9dc106fa9c019a1985cbeec794e000c0
