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Community benchmarks

Qwen3.8 27B

Submitted benchmarks for Qwen3.8 27B. Browse individual runs and their measurement settings, or open the report JSON for full benchmark details.

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Submitted runs: 30
Chips tested: 8
Contributors: 5

Model identity

Grouped as Qwen/Qwen3.8-27B. The report's model SHA-256 matches a file published on Hugging Face, so the exact model bytes are known. This does not attest benchmark execution. · Nothing in this report ties it to a published model file. Reports from CLI 0.1.0 record only a model name and a file hash, so the run is grouped by the name it reported until it is reconciled.. Artifact verification confirms published model bytes, not that a community-submitted benchmark was honestly executed. Hover or tap a label for what it means.

This model group collects runs reported as basecompute/Qwen3.8-27B, Qwen3.8-27B, Qwen3.8-27B-Q4, Qwen3.8-27B-Q4-mtp, Qwen3.8-27B-Q8. Individual results keep the package name and format they were submitted with.

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Published files benchmarked

basecompute/Qwen3.8-27B/Qwen3.8-27B-Q4.base (opens in a new tab)BaseRTQ4· 13 runs
basecompute/Qwen3.8-27B/Qwen3.8-27B-Q8.base (opens in a new tab)BaseRTQ4· 9 runs
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-UD-Q4_K_M.gguf (opens in a new tab)llama.cppQ4_K_M· 2 runs
unsloth/Qwen3.8-27B-GGUF/Qwen3.8-27B-Q4_0.gguf

Benchmark results

Peak throughput is the highest reported value and may come from different runs. Compare model, quantisation, backend, and token counts before drawing conclusions. Model verification identifies published artifact bytes; community benchmark execution is not remotely attested.

Individual runs for Qwen3.8 27B. Throughput is in tokens per second; dates use your browser timezone. Hover a date for the exact local time.
Model / runtime / format	Chip / backend	Decode	Prefill	Peak process memory	Contributor

basecompute/Qwen3.8-27B BaseRTQ4· default-q4 The report's model SHA-256 matches a file published on Hugging Face, so the exact model bytes are known. This does not attest benchmark execution.	Apple M5 Pro Metal	16.5 tok/s TG128	327 tok/s PP512	19,848.7 MiB	arki05	11 Sep 2026	View Benchmark
Qwen3.8-27B llama.cppQ4_1 The report's model SHA-256 matches a file published on Hugging Face, so the exact model bytes are known. This does not attest benchmark execution.	NVIDIA H100 80GB HBM3 × 8 CUDA	95.3 tok/s TG128	2,513 tok/s PP512	17,724.0 MiB	sarthak247	11 Sep 2026	View Benchmark
basecompute/Qwen3.8-27B BaseRTQ4· default-q4 The report's model SHA-256 matches a file published on Hugging Face, so the exact model bytes are known. This does not attest benchmark execution.	Apple M5 Max Metal	19.7 tok/s TG128	589 tok/s PP512	22,598.1 MiB	lukas	10 Sep 2026	View Benchmark
Qwen3.8-27B-Q4 BaseRTQ4 The report's model SHA-256 matches a file published on Hugging Face, so the exact model bytes are known. This does not attest benchmark execution.	Apple M4 Max Metal	31.6 tok/s TG128	222 tok/s PP512	22,738.8 MiB	fabian	10 Sep 2026	View Benchmark
basecompute/Qwen3.8-27B BaseRTQ4· default-q4 The report's model SHA-256 matches a file published on Hugging Face, so the exact model bytes are known. This does not attest benchmark execution.	Apple M5 Max Metal	34.0 tok/s TG128	589 tok/s PP512	14,842.1 MiB	basecompute	10 Sep 2026	View Benchmark