4× RTX 3090
145tok/sEveryday
1 request, prose prompt, with DFlash (per recipe) Source
Intelligence34with thinkingno thinking 20
- Experimental
Local AI · Recipe · 2× RTX 3090
Qwen3.8 27B AutoRound INT4 with vLLM on 2× RTX 3090 (with DFlash)
Qwen3.8 27B AutoRound INT4 with vLLM on 2× RTX 3090 (with DFlash): 123 tok/s according to github.com (dataset as of Nov 3, 2026).
by noonghunna
Intelligence (original model) · Artificial Analysis34with thinkingno thinking 20
Engine
- Engine
- vLLM
- Quantization
- AutoRound INT4 (W4A16) + fp8 KV + FA2-Plugin
- Model family
- Qwen3.8
- Context
- 262,144
- Parameters
- 27B dense
- Creator
- noonghunna
- GitHub stars
- 2,471
- Repo updated
- Nov 2, 2026
Measurements
Every sourced value of this recipe, each with its condition and source. Bars relative to the largest value in the group.
Decode · 1 request
What you need
- Hardware
- 2 × NVIDIA RTX 3090
- Weights
- Main weightsFrozenlock/Qwen3.8-27B-int4-AutoRound Apache-2.0
- Draft modelsyvai/Qwen3.8-27B-DFlash2-W4A16 Apache-2.0
- Engine
- vLLM
- Context
- 262,144 tokens
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