AI正在发生 未来正在更新JackOD-9B-Coder-MTP-DFlash-GGUF
**`ManniX-ITA/JackOD-9B-Coder` v3** quantized for **DFlash speculative decoding**: every quant tier of `JackOD-9B-Coder-MTP-GGUF` with the built-in MTP (NextN) layer removed, plus a separate **DFlash drafter** that does the drafting instead. Use **this** repo if your runtime drafts with DFlash. Use `JackOD-9B-Coder-MTP-GGUF` if it drafts with the model's own MTP head, or if you do not use speculative decoding at all. The two repos hold the same quantized weights; only the speculative-decoding path differs. JackOD-9B-Coder is a merge over `Qwen/Qwen3.5-9B` built for multi-turn agentic coding — DeltaCoder-9B 0.55 / Ornith-1.5-9B 0.30 / Coder-Flash 0.15, `omnimerge_v2`. The recipe, the evaluations and the full description are on the model card.
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**`ManniX-ITA/JackOD-9B-Coder` v3** quantized for **DFlash speculative decoding**: every quant tier of `JackOD-9B-Coder-MTP-GGUF` with the built-in MTP (NextN) layer removed, plus a separate **DFlash drafter** that does the drafting instead. Use **this** repo if your runtime drafts with DFlash. Use `JackOD-9B-Coder-MTP-GGUF` if it drafts with the model's own MTP head, or if you do not use speculative decoding at all. The two repos hold the same quantized weights; only the speculative-decoding path differs. JackOD-9B-Coder is a merge over `Qwen/Qwen3.5-9B` built for multi-turn agentic coding — DeltaCoder-9B 0.55 / Ornith-1.5-9B 0.30 / Coder-Flash 0.15, `omnimerge_v2`. The recipe, the evaluations and the full description are on the model card.