1× Mac
155tok/sEveryday
1 request, llmprobe standard prompt, thinking on, with MTP + PLD (per recipe) Source
Intelligence40with thinking
- Experimental
- License unclear
Local AI · Recipe · 4× RTX 3090
Qwen3.8-Flash-Next 125B UD-IQ3_XXS with llama.cpp on 4× RTX 3090
Qwen3.8-Flash-Next 125B UD-IQ3_XXS with llama.cpp on 4× RTX 3090: 43 tok/s according to github.com (dataset as of Nov 3, 2026).
by tonyd2wild
Intelligence (original model) · Artificial Analysis40with thinking
≤ 3 bit: quantization may cost quality
Engine
- Engine
- llama.cpp
- Quantization
- GGUF UD-IQ3_XXS (~3-bit)
- Model family
- Qwen3.8-Flash-Next
- Context
- 131,072
- Parameters
- 125B-A3B hybrid MoE lt. README
- Creator
- tonyd2wild
- GitHub stars
- 4
- Repo updated
- Aug 27, 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
- 4 × NVIDIA RTX 3090
- Weights
- Main weightsunsloth/Qwen3.8-Flash-Next-GGUF other
- Engine
- llama.cpp
- Context
- 131,072 tokens
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.
- License unclear
Sources
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