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× Mac
Qwen3.8-Flash-Next 176.9B IQ2_XXS with DwarfStar on 1× Mac
Qwen3.8-Flash-Next 176.9B IQ2_XXS with DwarfStar on 1× Mac: 48.7 tok/s according to github.com (dataset as of Nov 3, 2026).
by antirez
Intelligence (original model) · Artificial Analysis40with thinkingOriginal model's value. Heavily compressed (~2.1 bit), intelligence is likely much lower.
≤ 3 bit: quantization may cost quality
Engine
- Engine
- DwarfStar (ds4) main@0aaea5a (2026-09-20)
- Quantization
- IQ2_XXS gate/up, Q2_K down; 41.73 GiB resident, 95.37 GiB BF16-n-grams auf SSD
- Model family
- Qwen3.8-Flash-Next
- Context
- —
- Parameters
- 176.9B, davon 51.2B n-gram-Tabelle (Angabe 0xBakeer-README)
- Creator
- antirez
- GitHub stars
- 24,199
- Repo updated
- Nov 2, 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 × Mac / Apple Silicon
- Weights
- Main weightsantirez/qwen3.8-flash-next-gguf other
- Visionggml-org/Qwen3.8-Flash-Next-GGUF other
- Engine
- DwarfStar (ds4) main@0aaea5a (2026-09-20)
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.
- Single run
- License unclear
Sources
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