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Qwen3.8-27B-Uncensored

Qwen family · 28.0B params

4recorded runs
136.4best tok/s
4verified

Evidence: 4 sourced runs · 1 independent source · first recorded Aug 18, 2026 · last recorded Sep 1, 2026. What these labels mean.

What the Qwen3.8-27B-Uncensored numbers mean

The fastest verified result on our board is 136.4 output tok/s on an Intel Arc Pro B70 x2 at GPTQ-Int4 with a 2048-token context. That is about 7.3 ms per generated token — 500 tokens takes roughly 3.7 seconds. Prompt processing on the same record runs at 755.0 tok/s, so a 2,000-token prompt is read in about 2.6 seconds. Across the 4 records we hold for this model the range is 51.8–136.4 tok/s on 3 GPUs, because quantisation, context length and the engine build all move the number.

How much VRAM does Qwen3.8-27B-Uncensored need?

Qwen3.8-27B-Uncensored has 28.0B parameters. These estimates use the same formula as the VRAM calculator: weights, plus about 15% for a moderate-context KV cache and runtime overhead, plus a small engine floor.

QuantisationEstimated VRAMSmallest card that fits
Q4_K_M (4-bit)18.9 GB24 GB
Q8_0 (8-bit)35.0 GB48 GB
FP16 (16-bit)65.2 GB80 GB

Long contexts and large batches raise the real number — read the smallest card as "possible with a reduced context". Measured throughput is on the benchmark board.

Fastest GPUs for this model (best tok/s)
  1. Intel Arc Pro B70 x2136.4
  2. RTX 308074.1
  3. Radeon AI Pro R9700 x251.8

Models with a similar footprint

ModelParamsQ4_K_M weights
Bonsai-27B28B15.8 GB
Godoter-27B28B15.8 GB
Huihui-Qwen3.8-27B-abliterated28B15.8 GB
Qwen3.5-27B28B15.8 GB
Qwen3.6-27B28B15.8 GB
Qwen3.6-27B-i128B15.8 GB

Ranked by distance from Qwen3.8-27B-Uncensored's parameter count. Full benchmark board.

All benchmarks Methodology

GPUModelQuantBackendCtx tok/sprompt tok/sVRAM GBSource
Intel Arc Pro B70 x2 · 32 GBQwen3.8-27B-UncensoredGPTQ-Int4vllm 0.27.2rc1.dev78+g8e6d8e4f6 XPU (cust…2048136.4 ✓755.0—src
Intel Arc Pro B70 x2 · 32 GBQwen3.8-27B-UncensoredGPTQ-Int4vllm vLLM 0.26.1rc1.dev771+g8e6d8e4f6 XPU…2048105.6 ✓710.3—src
RTX 3080 · 10 GBQwen3.8-27B-UncensoredIQ2_XXSllama.cpp b104721638474.1 ✓1159.29.5src
Radeon AI Pro R9700 x2 · 32 GBQwen3.8-27B-UncensoredQ8_0llama.cpp stew675 llama-cpp-rdna-boosts 12-set…26214451.8 ✓1470.644.6src
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