Qwen3.8 27B

Qwen/Qwen3.8-27B

27BDenseText generationImage → textText inputImage input

Qwen · 22 recorded configurations

Measured setup

Every option opens a recorded setup. Where the corpus recorded nothing at this page's other settings, the option names the fields it switches with it. Allocation and runtime detail stay in the technical record below.

1× RTX 3090 · ExLlamaV3

EXL3 5.00bpw · MTP 2

PP · left axisTG · right axis
View exact measurements
Exact context depth and measured fresh prefill, bulk prefix, and decode rates for Qwen3.8 27B
Context depth (tokens)Fresh prefill PP (tok/s)TG (tok/s)
0890.5555.28
16,384736.8845.36
105,728367.8935.13

Concurrent-stream measurements

Concurrent-stream throughput at the recorded existing-prefix depth for Qwen3.8 27B
StreamsContext depth (tokens)Aggregate PP (tok/s)Aggregate TG (tok/s)TG / stream (tok/s)Aggregate all (tok/s)
28,192856.6798.0849.04239.42
38,192886.55131.6443.88304.49
48,192911.69171.9042.98374.49
58,192916.76196.3939.28412.46
Technical record and provenance

Source 1 · 2026-10-15

Source run ID
trpro-exl-qwen38-27b-5bpw-gpu1-5bpw-mtp-2-context-fit-1-20261015
Page entry ID
trpro-exl-qwen38-27b-5bpw-gpu1-mtp-2
Entry sweep
context
Raw entry label
Qwen3.8 27B EXL3 5.00bpw · MTP-2
Configuration label
1× RTX3090 — no splitting · EXL3 5.00bpw · MTP-2 · context-fit 106496-token allocation
Measured date
2026-10-15
Hardware
1× RTX 3090
Runtime
exllamav3 · ExLlamaV3 1.5.0+cu128.torch2.9.0; native extension SHA-256 c1d02b410ef729618077ba287f01f05b229f31d118a7aae04a1b7e56142e3b2e
Weight placement
gpu-resident
Observed devices
CUDA0
Requested devices
CUDA0
Split mode
Single GPU — no splitting
Placement detail
One physical RTX 3090; target model and native MTP compute tensors were observed on CUDA0, with no CPU expert offload or model split.
KV-cache precision
EXL native K8/V8 with QSA side planes and recurrent state
Requested context per slot
106,496 tokens
Actual context per slot
106,496 tokens
Native model context
262,144 tokens
Prompt tokens
512
Generated tokens
256
Speculative decoding
MTP · draft max 2
Warm-ups
1
Measured repetitions
3
Timing method
ExLlamaV3 persistent worker time.perf_counter_ns with torch.cuda.synchronize at phase boundaries; fresh PP excludes prefix preparation; aggregate TG is across streams
Throughput spreads
KV 0, 1 stream: PP mean 890.55 t/s (min 883.13, max 897.49, SD 7.19, n=3); TG mean 55.28 t/s (min 54.91, max 55.48, SD 0.32, n=3); All mean 147.52 t/s (min 146.52, max 148.05, SD 0.87, n=3) · KV 16,384, 1 stream: PP mean 736.88 t/s (min 736.80, max 737.02, SD 0.12, n=3); TG mean 45.36 t/s (min 45.28, max 45.40, SD 0.07, n=3); All mean 121.16 t/s (min 120.98, max 121.27, SD 0.16, n=3) · KV 105,728, 1 stream: PP mean 367.89 t/s (min 367.79, max 368.07, SD 0.16, n=3); TG mean 35.13 t/s (min 35.10, max 35.14, SD 0.02, n=3); All mean 88.48 t/s (min 88.44, max 88.51, SD 0.04, n=3)
Measurement outcomes
0 tokens · 1 stream: measured; 16,384 tokens · 1 stream: measured; 105,728 tokens · 1 stream: measured
Notes
1× RTX3090 — no splitting · EXL3 5.00bpw · MTP-2 · context-fit 106496-token allocation. Persistent EXL native worker: 512 fresh prompt tokens and 256 generated tokens; one warmup then three measured repetitions. PP is fresh-prompt processing after the populated prefix; TG is aggregate decode across concurrent streams. Throughput means and sample standard deviations are recomputed from the retained raw repetitions. EXL native K8/V8 cache storage includes QSA side planes and recurrent state; this is not GGUF Q8_0. Physical GPU 1 (GPU-0a2bed40-39e4-e67f-5234-868704f9704b) was selected as the single device. Runtime evidence maps that physical GPU to one logical CUDA0. Source configuration 500bpw-context-mtp-2-c1; model revision a35e75a73baee51da709329d19294245cbeeb5d8; source manifest SHA-256 640298efcc4dab1a26a659a7be939d02d2b771ea1f4fb5aec59b936f92d949f3. Separately allocated 106496 tokens per stream for this MTP setting. The allocation search advances in 8192-token steps; its recorded fitted capacity is not a token-exact VRAM maximum. The selected boundary and the 0/16K samples are retained from their recorded source attempts.
Source article
/benchmarks/
Raw log path
research/benchmarks/logs/trpro/2026-10-15-exl-context-fit/5bpw-gpu1/runs/mtp-2-106496-boundary/5.00bpw/context/mtp-2-c1

Source 2 · 2026-10-15

Source run ID
trpro-exl-qwen38-27b-5bpw-gpu1-5bpw-mtp-2-concurrency-2-20261015
Page entry ID
trpro-exl-qwen38-27b-5bpw-gpu1-mtp-2
Entry sweep
concurrency
Raw entry label
Qwen3.8 27B EXL3 5.00bpw · MTP-2
Configuration label
1× RTX3090 — no splitting · EXL3 5.00bpw · MTP-2 · concurrency 2, 8192-token prefix, 8960-token allocation per stream
Measured date
2026-10-15
Hardware
1× RTX 3090
Runtime
exllamav3 · ExLlamaV3 1.5.0+cu128.torch2.9.0; native extension SHA-256 c1d02b410ef729618077ba287f01f05b229f31d118a7aae04a1b7e56142e3b2e
Weight placement
gpu-resident
Observed devices
CUDA0
Requested devices
CUDA0
Split mode
Single GPU — no splitting
Placement detail
One physical RTX 3090; target model and native MTP compute tensors were observed on CUDA0, with no CPU expert offload or model split.
KV-cache precision
EXL native K8/V8 with QSA side planes and recurrent state
Requested context per slot
8,960 tokens
Actual context per slot
8,960 tokens
Native model context
262,144 tokens
Prompt tokens
512
Generated tokens
256
Speculative decoding
MTP · draft max 2
Warm-ups
1
Measured repetitions
3
Timing method
ExLlamaV3 persistent worker time.perf_counter_ns with torch.cuda.synchronize at phase boundaries; fresh PP excludes prefix preparation; aggregate TG is across streams
Throughput spreads
KV 8,192, 2 streams: PP mean 856.67 t/s (min 855.87, max 857.26, SD 0.72, n=3); TG mean 98.08 t/s (min 97.96, max 98.23, SD 0.13, n=3); All mean 239.42 t/s (min 239.14, max 239.72, SD 0.29, n=3)
Measurement outcomes
8,192 tokens · 2 streams: measured
Notes
1× RTX3090 — no splitting · EXL3 5.00bpw · MTP-2 · concurrency 2, 8192-token prefix, 8960-token allocation per stream. Persistent EXL native worker: 512 fresh prompt tokens and 256 generated tokens; one warmup then three measured repetitions. PP is fresh-prompt processing after the populated prefix; TG is aggregate decode across concurrent streams. Throughput means and sample standard deviations are recomputed from the retained raw repetitions. EXL native K8/V8 cache storage includes QSA side planes and recurrent state; this is not GGUF Q8_0. Physical GPU 1 (GPU-0a2bed40-39e4-e67f-5234-868704f9704b) was selected as the single device. Runtime evidence maps that physical GPU to one logical CUDA0. Source configuration 500bpw-concurrency-mtp-2-c2; model revision a35e75a73baee51da709329d19294245cbeeb5d8; source manifest SHA-256 f889b720ea21d731842579e93d41eb5e4ed995a63475a7e69874a2330b529192. The concurrency source used an 8192-token prefix and a fixed 8960-token per-stream cache allocation; this allocation is independent of context-fit capacities.
Source article
/benchmarks/
Raw log path
research/benchmarks/logs/trpro/2026-10-15-independent-gpus/remaining-campaign/trpro-exl-qwen38-27b-5bpw-gpu1-independent-gpus-validation-20261015/5.00bpw/concurrency/mtp-2-c2

Source 3 · 2026-10-15

Source run ID
trpro-exl-qwen38-27b-5bpw-gpu1-5bpw-mtp-2-concurrency-3-20261015
Page entry ID
trpro-exl-qwen38-27b-5bpw-gpu1-mtp-2
Entry sweep
concurrency
Raw entry label
Qwen3.8 27B EXL3 5.00bpw · MTP-2
Configuration label
1× RTX3090 — no splitting · EXL3 5.00bpw · MTP-2 · concurrency 3, 8192-token prefix, 8960-token allocation per stream
Measured date
2026-10-15
Hardware
1× RTX 3090
Runtime
exllamav3 · ExLlamaV3 1.5.0+cu128.torch2.9.0; native extension SHA-256 c1d02b410ef729618077ba287f01f05b229f31d118a7aae04a1b7e56142e3b2e
Weight placement
gpu-resident
Observed devices
CUDA0
Requested devices
CUDA0
Split mode
Single GPU — no splitting
Placement detail
One physical RTX 3090; target model and native MTP compute tensors were observed on CUDA0, with no CPU expert offload or model split.
KV-cache precision
EXL native K8/V8 with QSA side planes and recurrent state
Requested context per slot
8,960 tokens
Actual context per slot
8,960 tokens
Native model context
262,144 tokens
Prompt tokens
512
Generated tokens
256
Speculative decoding
MTP · draft max 2
Warm-ups
1
Measured repetitions
3
Timing method
ExLlamaV3 persistent worker time.perf_counter_ns with torch.cuda.synchronize at phase boundaries; fresh PP excludes prefix preparation; aggregate TG is across streams
Throughput spreads
KV 8,192, 3 streams: PP mean 886.55 t/s (min 885.08, max 887.73, SD 1.35, n=3); TG mean 131.64 t/s (min 131.25, max 131.88, SD 0.34, n=3); All mean 304.49 t/s (min 303.83, max 305.01, SD 0.61, n=3)
Measurement outcomes
8,192 tokens · 3 streams: measured
Notes
1× RTX3090 — no splitting · EXL3 5.00bpw · MTP-2 · concurrency 3, 8192-token prefix, 8960-token allocation per stream. Persistent EXL native worker: 512 fresh prompt tokens and 256 generated tokens; one warmup then three measured repetitions. PP is fresh-prompt processing after the populated prefix; TG is aggregate decode across concurrent streams. Throughput means and sample standard deviations are recomputed from the retained raw repetitions. EXL native K8/V8 cache storage includes QSA side planes and recurrent state; this is not GGUF Q8_0. Physical GPU 1 (GPU-0a2bed40-39e4-e67f-5234-868704f9704b) was selected as the single device. Runtime evidence maps that physical GPU to one logical CUDA0. Source configuration 500bpw-concurrency-mtp-2-c3; model revision a35e75a73baee51da709329d19294245cbeeb5d8; source manifest SHA-256 f889b720ea21d731842579e93d41eb5e4ed995a63475a7e69874a2330b529192. The concurrency source used an 8192-token prefix and a fixed 8960-token per-stream cache allocation; this allocation is independent of context-fit capacities.
Source article
/benchmarks/
Raw log path
research/benchmarks/logs/trpro/2026-10-15-independent-gpus/remaining-campaign/trpro-exl-qwen38-27b-5bpw-gpu1-independent-gpus-validation-20261015/5.00bpw/concurrency/mtp-2-c3

Source 4 · 2026-10-15

Source run ID
trpro-exl-qwen38-27b-5bpw-gpu1-5bpw-mtp-2-concurrency-4-20261015
Page entry ID
trpro-exl-qwen38-27b-5bpw-gpu1-mtp-2
Entry sweep
concurrency
Raw entry label
Qwen3.8 27B EXL3 5.00bpw · MTP-2
Configuration label
1× RTX3090 — no splitting · EXL3 5.00bpw · MTP-2 · concurrency 4, 8192-token prefix, 8960-token allocation per stream
Measured date
2026-10-15
Hardware
1× RTX 3090
Runtime
exllamav3 · ExLlamaV3 1.5.0+cu128.torch2.9.0; native extension SHA-256 c1d02b410ef729618077ba287f01f05b229f31d118a7aae04a1b7e56142e3b2e
Weight placement
gpu-resident
Observed devices
CUDA0
Requested devices
CUDA0
Split mode
Single GPU — no splitting
Placement detail
One physical RTX 3090; target model and native MTP compute tensors were observed on CUDA0, with no CPU expert offload or model split.
KV-cache precision
EXL native K8/V8 with QSA side planes and recurrent state
Requested context per slot
8,960 tokens
Actual context per slot
8,960 tokens
Native model context
262,144 tokens
Prompt tokens
512
Generated tokens
256
Speculative decoding
MTP · draft max 2
Warm-ups
1
Measured repetitions
3
Timing method
ExLlamaV3 persistent worker time.perf_counter_ns with torch.cuda.synchronize at phase boundaries; fresh PP excludes prefix preparation; aggregate TG is across streams
Throughput spreads
KV 8,192, 4 streams: PP mean 911.69 t/s (min 907.61, max 914.87, SD 3.71, n=3); TG mean 171.90 t/s (min 171.42, max 172.22, SD 0.43, n=3); All mean 374.49 t/s (min 373.26, max 375.12, SD 1.07, n=3)
Measurement outcomes
8,192 tokens · 4 streams: measured
Notes
1× RTX3090 — no splitting · EXL3 5.00bpw · MTP-2 · concurrency 4, 8192-token prefix, 8960-token allocation per stream. Persistent EXL native worker: 512 fresh prompt tokens and 256 generated tokens; one warmup then three measured repetitions. PP is fresh-prompt processing after the populated prefix; TG is aggregate decode across concurrent streams. Throughput means and sample standard deviations are recomputed from the retained raw repetitions. EXL native K8/V8 cache storage includes QSA side planes and recurrent state; this is not GGUF Q8_0. Physical GPU 1 (GPU-0a2bed40-39e4-e67f-5234-868704f9704b) was selected as the single device. Runtime evidence maps that physical GPU to one logical CUDA0. Source configuration 500bpw-concurrency-mtp-2-c4; model revision a35e75a73baee51da709329d19294245cbeeb5d8; source manifest SHA-256 f889b720ea21d731842579e93d41eb5e4ed995a63475a7e69874a2330b529192. The concurrency source used an 8192-token prefix and a fixed 8960-token per-stream cache allocation; this allocation is independent of context-fit capacities.
Source article
/benchmarks/
Raw log path
research/benchmarks/logs/trpro/2026-10-15-independent-gpus/remaining-campaign/trpro-exl-qwen38-27b-5bpw-gpu1-independent-gpus-validation-20261015/5.00bpw/concurrency/mtp-2-c4

Source 5 · 2026-10-15

Source run ID
trpro-exl-qwen38-27b-5bpw-gpu1-5bpw-mtp-2-concurrency-5-20261015
Page entry ID
trpro-exl-qwen38-27b-5bpw-gpu1-mtp-2
Entry sweep
concurrency
Raw entry label
Qwen3.8 27B EXL3 5.00bpw · MTP-2
Configuration label
1× RTX3090 — no splitting · EXL3 5.00bpw · MTP-2 · concurrency 5, 8192-token prefix, 8960-token allocation per stream
Measured date
2026-10-15
Hardware
1× RTX 3090
Runtime
exllamav3 · ExLlamaV3 1.5.0+cu128.torch2.9.0; native extension SHA-256 c1d02b410ef729618077ba287f01f05b229f31d118a7aae04a1b7e56142e3b2e
Weight placement
gpu-resident
Observed devices
CUDA0
Requested devices
CUDA0
Split mode
Single GPU — no splitting
Placement detail
One physical RTX 3090; target model and native MTP compute tensors were observed on CUDA0, with no CPU expert offload or model split.
KV-cache precision
EXL native K8/V8 with QSA side planes and recurrent state
Requested context per slot
8,960 tokens
Actual context per slot
8,960 tokens
Native model context
262,144 tokens
Prompt tokens
512
Generated tokens
256
Speculative decoding
MTP · draft max 2
Warm-ups
1
Measured repetitions
3
Timing method
ExLlamaV3 persistent worker time.perf_counter_ns with torch.cuda.synchronize at phase boundaries; fresh PP excludes prefix preparation; aggregate TG is across streams
Throughput spreads
KV 8,192, 5 streams: PP mean 916.76 t/s (min 915.59, max 917.51, SD 1.03, n=3); TG mean 196.39 t/s (min 195.79, max 196.74, SD 0.53, n=3); All mean 412.46 t/s (min 411.41, max 413.07, SD 0.91, n=3)
Measurement outcomes
8,192 tokens · 5 streams: measured
Notes
1× RTX3090 — no splitting · EXL3 5.00bpw · MTP-2 · concurrency 5, 8192-token prefix, 8960-token allocation per stream. Persistent EXL native worker: 512 fresh prompt tokens and 256 generated tokens; one warmup then three measured repetitions. PP is fresh-prompt processing after the populated prefix; TG is aggregate decode across concurrent streams. Throughput means and sample standard deviations are recomputed from the retained raw repetitions. EXL native K8/V8 cache storage includes QSA side planes and recurrent state; this is not GGUF Q8_0. Physical GPU 1 (GPU-0a2bed40-39e4-e67f-5234-868704f9704b) was selected as the single device. Runtime evidence maps that physical GPU to one logical CUDA0. Source configuration 500bpw-concurrency-mtp-2-c5; model revision a35e75a73baee51da709329d19294245cbeeb5d8; source manifest SHA-256 f889b720ea21d731842579e93d41eb5e4ed995a63475a7e69874a2330b529192. The concurrency source used an 8192-token prefix and a fixed 8960-token per-stream cache allocation; this allocation is independent of context-fit capacities.
Source article
/benchmarks/
Raw log path
research/benchmarks/logs/trpro/2026-10-15-independent-gpus/remaining-campaign/trpro-exl-qwen38-27b-5bpw-gpu1-independent-gpus-validation-20261015/5.00bpw/concurrency/mtp-2-c5

Source 6 · 2026-10-15

Source run ID
trpro-exl-qwen38-27b-5bpw-gpu1-5bpw-mtp-2-concurrency-6-20261015
Page entry ID
trpro-exl-qwen38-27b-5bpw-gpu1-mtp-2
Entry sweep
concurrency
Raw entry label
Qwen3.8 27B EXL3 5.00bpw · MTP-2
Configuration label
1× RTX3090 — no splitting · EXL3 5.00bpw · MTP-2 · concurrency 6, 8192-token prefix, 8960-token allocation per stream
Measured date
2026-10-15
Hardware
1× RTX 3090
Runtime
exllamav3 · ExLlamaV3 1.5.0+cu128.torch2.9.0; native extension SHA-256 c1d02b410ef729618077ba287f01f05b229f31d118a7aae04a1b7e56142e3b2e
Weight placement
gpu-resident
Observed devices
CUDA0
Requested devices
CUDA0
Split mode
Single GPU — no splitting
Placement detail
One physical RTX 3090; target model and native MTP compute tensors were observed on CUDA0, with no CPU expert offload or model split.
KV-cache precision
EXL native K8/V8 with QSA side planes and recurrent state
Requested context per slot
8,960 tokens
Actual context per slot
8,960 tokens
Native model context
262,144 tokens
Prompt tokens
512
Generated tokens
256
Speculative decoding
MTP · draft max 2
Warm-ups
1
Measured repetitions
3
Timing method
ExLlamaV3 persistent worker time.perf_counter_ns with torch.cuda.synchronize at phase boundaries; fresh PP excludes prefix preparation; aggregate TG is across streams
Measurement outcomes
8,192 tokens · 6 streams: oom — OutOfMemoryError: CUDA out of memory. Tried to allocate 170.00 MiB. GPU 0 has a total capacity of 23.56 GiB of which 177.06 MiB is free. Including non-PyTorch memory, this process has 23.38 GiB memory in use. 23.56 GiB allowed; Of the allocated memory 23.00 GiB is allocated by PyTorch, and 54.35 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
Notes
1× RTX3090 — no splitting · EXL3 5.00bpw · MTP-2 · concurrency 6, 8192-token prefix, 8960-token allocation per stream. Persistent EXL native worker: 512 fresh prompt tokens and 256 generated tokens; one warmup then three measured repetitions. PP is fresh-prompt processing after the populated prefix; TG is aggregate decode across concurrent streams. Throughput means and sample standard deviations are recomputed from the retained raw repetitions. EXL native K8/V8 cache storage includes QSA side planes and recurrent state; this is not GGUF Q8_0. Physical GPU 1 (GPU-0a2bed40-39e4-e67f-5234-868704f9704b) was selected as the single device. Runtime evidence maps that physical GPU to one logical CUDA0. Source configuration 500bpw-concurrency-mtp-2-c6; model revision a35e75a73baee51da709329d19294245cbeeb5d8; source manifest SHA-256 f889b720ea21d731842579e93d41eb5e4ed995a63475a7e69874a2330b529192. The concurrency source used an 8192-token prefix and a fixed 8960-token per-stream cache allocation; this allocation is independent of context-fit capacities.
Source article
/benchmarks/
Raw log path
research/benchmarks/logs/trpro/2026-10-15-independent-gpus/remaining-campaign/trpro-exl-qwen38-27b-5bpw-gpu1-independent-gpus-validation-20261015/5.00bpw/concurrency/mtp-2-c6

Source 7 · 2026-10-15

Source run ID
trpro-exl-qwen38-27b-5bpw-gpu1-5bpw-mtp-2-concurrency-7-20261015
Page entry ID
trpro-exl-qwen38-27b-5bpw-gpu1-mtp-2
Entry sweep
concurrency
Raw entry label
Qwen3.8 27B EXL3 5.00bpw · MTP-2
Configuration label
Single RTX3090 requested — placement unverified · EXL3 5.00bpw · MTP-2 · concurrency 7, 8192-token prefix, requested 8960-token allocation (actual unknown) per stream
Measured date
2026-10-15
Hardware
Not observed (outcome-only startup failure)
Runtime
exllamav3 · ExLlamaV3 1.5.0+cu128.torch2.9.0; native extension SHA-256 c1d02b410ef729618077ba287f01f05b229f31d118a7aae04a1b7e56142e3b2e
Weight placement
Unverified (startup failed)
Observed devices
None observed
Requested devices
CUDA0
Split mode
None
KV-cache precision
EXL native K8/V8 with QSA side planes and recurrent state
Prompt tokens
512
Generated tokens
256
Speculative decoding
MTP · draft max 2
Warm-ups
1
Measured repetitions
3
Timing method
ExLlamaV3 persistent worker time.perf_counter_ns with torch.cuda.synchronize at phase boundaries; fresh PP excludes prefix preparation; aggregate TG is across streams
Measurement outcomes
8,192 tokens · 7 streams: oom — RuntimeError: Insufficient VRAM in split for model and cache
Notes
Single RTX3090 requested — placement unverified · EXL3 5.00bpw · MTP-2 · concurrency 7, 8192-token prefix, requested 8960-token allocation (actual unknown) per stream. Persistent EXL native worker: 512 fresh prompt tokens and 256 generated tokens; one warmup then three measured repetitions. PP is fresh-prompt processing after the populated prefix; TG is aggregate decode across concurrent streams. Throughput means and sample standard deviations are recomputed from the retained raw repetitions. EXL native K8/V8 cache storage includes QSA side planes and recurrent state; this is not GGUF Q8_0. Physical GPU 1 (GPU-0a2bed40-39e4-e67f-5234-868704f9704b) was selected as the single device. No successful model placement was observed for this outcome-only source. Source configuration 500bpw-concurrency-mtp-2-c7; model revision a35e75a73baee51da709329d19294245cbeeb5d8; source manifest SHA-256 f889b720ea21d731842579e93d41eb5e4ed995a63475a7e69874a2330b529192. The concurrency source used an 8192-token prefix and a fixed 8960-token per-stream cache allocation (actual allocation unknown); this allocation is independent of context-fit capacities.
Source article
/benchmarks/
Raw log path
research/benchmarks/logs/trpro/2026-10-15-independent-gpus/remaining-campaign/trpro-exl-qwen38-27b-5bpw-gpu1-independent-gpus-validation-20261015/5.00bpw/concurrency/mtp-2-c7

Source 8 · 2026-10-15

Source run ID
trpro-exl-qwen38-27b-5bpw-gpu1-5bpw-mtp-2-concurrency-8-20261015
Page entry ID
trpro-exl-qwen38-27b-5bpw-gpu1-mtp-2
Entry sweep
concurrency
Raw entry label
Qwen3.8 27B EXL3 5.00bpw · MTP-2
Configuration label
Single RTX3090 requested — placement unverified · EXL3 5.00bpw · MTP-2 · concurrency 8, 8192-token prefix, requested 8960-token allocation (actual unknown) per stream
Measured date
2026-10-15
Hardware
Not observed (outcome-only startup failure)
Runtime
exllamav3 · ExLlamaV3 1.5.0+cu128.torch2.9.0; native extension SHA-256 c1d02b410ef729618077ba287f01f05b229f31d118a7aae04a1b7e56142e3b2e
Weight placement
Unverified (startup failed)
Observed devices
None observed
Requested devices
CUDA0
Split mode
None
KV-cache precision
EXL native K8/V8 with QSA side planes and recurrent state
Prompt tokens
512
Generated tokens
256
Speculative decoding
MTP · draft max 2
Warm-ups
1
Measured repetitions
3
Timing method
ExLlamaV3 persistent worker time.perf_counter_ns with torch.cuda.synchronize at phase boundaries; fresh PP excludes prefix preparation; aggregate TG is across streams
Measurement outcomes
8,192 tokens · 8 streams: oom — RuntimeError: Insufficient VRAM in split for model and cache
Notes
Single RTX3090 requested — placement unverified · EXL3 5.00bpw · MTP-2 · concurrency 8, 8192-token prefix, requested 8960-token allocation (actual unknown) per stream. Persistent EXL native worker: 512 fresh prompt tokens and 256 generated tokens; one warmup then three measured repetitions. PP is fresh-prompt processing after the populated prefix; TG is aggregate decode across concurrent streams. Throughput means and sample standard deviations are recomputed from the retained raw repetitions. EXL native K8/V8 cache storage includes QSA side planes and recurrent state; this is not GGUF Q8_0. Physical GPU 1 (GPU-0a2bed40-39e4-e67f-5234-868704f9704b) was selected as the single device. No successful model placement was observed for this outcome-only source. Source configuration 500bpw-concurrency-mtp-2-c8; model revision a35e75a73baee51da709329d19294245cbeeb5d8; source manifest SHA-256 f889b720ea21d731842579e93d41eb5e4ed995a63475a7e69874a2330b529192. The concurrency source used an 8192-token prefix and a fixed 8960-token per-stream cache allocation (actual allocation unknown); this allocation is independent of context-fit capacities.
Source article
/benchmarks/
Raw log path
research/benchmarks/logs/trpro/2026-10-15-independent-gpus/remaining-campaign/trpro-exl-qwen38-27b-5bpw-gpu1-independent-gpus-validation-20261015/5.00bpw/concurrency/mtp-2-c8

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