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 · 1× RTX 5090
Qwen3.8-Flash-Next 125B-A10B UD-Q2_K_XL with llama.cpp on 1× RTX 5090
Qwen3.8-Flash-Next 125B-A10B UD-Q2_K_XL with llama.cpp on 1× RTX 5090: 59.7 tok/s according to huggingface.co (dataset as of Nov 3, 2026).
by notwitcheer
Intelligence (original model) · Artificial Analysis40with thinking
≤ 3 bit: quantization may cost quality
Engine
- Engine
- llama.cpp
- Quantization
- GGUF UD-Q2_K_XL (78.9 GB), Experten teilw. im RAM
- Model family
- Qwen3.8-Flash-Next
- Context
- —
- Parameters
- 125B MoE / 10B active
- 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-Flash-Next-GGUF other
- Engine
- llama.cpp
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.
- Partly in system RAM
- License unclear
Sources
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