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 3090
Qwen3.8-Flash-Next 125B-A6B EXL3 2.50 bpw with ExLlamaV3 on 1× RTX 3090
Qwen3.8-Flash-Next 125B-A6B EXL3 2.50 bpw with ExLlamaV3 on 1× RTX 3090: 38.6 tok/s according to github.com (dataset as of Nov 3, 2026).
by r0b0tlab
Intelligence (original model) · Artificial Analysis40with thinking
≤ 3 bit: quantization may cost quality
Engine
- Engine
- ExLlamaV3
- Quantization
- EXL3 2.50 bpw (41.5 GiB) + 3-bit n-gram Tabelle
- Model family
- Qwen3.8-Flash-Next
- Context
- 262,144
- Parameters
- 125B MoE / 6B active (lt. README)
- Creator
- r0b0tlab
- GitHub stars
- 19
- Repo updated
- Sep 17, 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
Time to first token
Shorter is better.
What you need
- Hardware
- 1 × NVIDIA RTX 3090
- Weights
- Main weightsr0b0tlab/Qwen3.8-Flash-Next-EXL3-2.50bpw Apache-2.0
- BaseQwen/Qwen3.8-Flash-Next other
- Engine
- ExLlamaV3
- Context
- 262,144 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.
- Partly in system RAM
- License unclear
Sources
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