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 27.32B UD-IQ2_XXS with llama.cpp on 1× RTX 5090
Qwen3.8 27.32B UD-IQ2_XXS with llama.cpp on 1× RTX 5090: 115 tok/s according to huggingface.co (dataset as of Nov 3, 2026).
by notwitcheer
Intelligence (original model) · Artificial Analysis34with thinkingno thinking 20
≤ 3 bit: quantization may cost quality
Engine
- Engine
- llama.cpp b9653
- Quantization
- GGUF UD-IQ2_XXS … Q8_0
- Model family
- Qwen3.8
- Context
- —
- Parameters
- 27.32B dense (hybrid linear attn)
- Creator
- notwitcheer
- GitHub stars
- 46
- Repo updated
- Nov 1, 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
Prefill by context
What you need
- Hardware
- 1 × NVIDIA RTX 5090
- Weights
- Main weightsunsloth/Qwen3.8-27B-GGUF Apache-2.0
- Engine
- llama.cpp b9653
Notes
What matters before you rebuild it.
- ≤ 3 bit: quantization may cost qualityAt 3 bit and below the model may answer noticeably worse than the original. The intelligence number refers to the original.
Sources
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