4× RTX 3090
145tok/sEveryday
1 request, prose prompt, with DFlash (per recipe) Source
Intelligence34with thinkingno thinking 20
- Experimental
Local AI · Recipe · 1× RTX 5090
Qwen3.8 27B EXL3 4 bpw with ExLlamaV3 on 1× RTX 5090 (one-click kit)
Qwen3.8 27B EXL3 4 bpw with ExLlamaV3 on 1× RTX 5090 (one-click kit): 122 tok/s according to github.com (dataset as of Sep 29, 2026).
by MiaAI-Lab
122tok/sMixed
1 request, llama-benchy 2048-token prompt, 128 tokens out, depth 0, with MTP
Source: github.comIntelligence (original model) · Artificial Analysis34with thinkingno thinking 20
Engine
- Engine
- ExLlamaV3 v1.6.0 (tools/serve_openai.py), MTP; opt-in DRAFT=dflash2
- Quantization
- EXL3 4.0 bpw (turboderp) + int4 KV
- Model family
- Qwen3.8
- Context
- 262,144
- Parameters
- 27B dense
- Creator
- MiaAI-Lab
- GitHub stars
- 546
- Repo updated
- Oct 9, 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
- 1 × NVIDIA RTX 5090
- Weights
- Main weightsturboderp/Qwen3.8-27B-exl3 Apache-2.0
- Draft modelr0b0tlab/Qwen3.8-27B-DFlash2-EXL3-4.00bpw Apache-2.0
- BaseQwen/Qwen3.8-27B Apache-2.0
- otherMia-AiLab/Qwen3.8-27B-EXL3-2.0bpw Apache-2.0
- Engine
- ExLlamaV3 v1.6.0 (tools/serve_openai.py), MTP; opt-in DRAFT=dflash2
- Context
- 262,144 tokens
Notes
What matters before you rebuild it.
- vision
Sources
- github.com/MiaAI-Lab/Qwen3.8-27B-16gb-NVIDIA-GPUs-one-click-install#what-was-measured
- github.com/MiaAI-Lab/Qwen3.8-27B-16gb-NVIDIA-GPUs-one-click-install#what-the-launcher-picks-for-your-gpu
- github.com/MiaAI-Lab/Qwen3.8-27B-16gb-NVIDIA-GPUs-one-click-install/blob/main/README.md
- github.com/MiaAI-Lab/Qwen3.8-27B-16gb-NVIDIA-GPUs-one-click-install/blob/main/tools/profiles.py
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