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DeepSeek-V4-Flash checkpoint contains a single NextN head with the tensor layout that the ik_llama.cpp converter expects. This is a conversion of that MTP head.ik-llama-server \
-m <any DeepSeek-V4-Flash GGUF> \
-md DeepSeek-V4-Flash-MTP-bf16.gguf \
--spec-type mtp:n_max=1,p_min=0.0 --spec-ckpt-mode per-step \
-fa on ...n_max=1. Deeper MTP drafts lose on measurement: at n_max=3, acceptance drops from ~0.74 to ~0.42 and generation lands at or below the no-draft baseline (this may be an artifact of the prediction being weaker for 0731).--spec-type draft-mtp. That compatibility is untested; mainline users are likely better served by the mainline-supported DSpark draft that 0731 ships.DeepSeek-V4-Flash-0731 IQ2_XXS-slim, 128k context, 2×RTX 3090 + Threadripper 3960X with hybrid CPU offload, greedy decoding.| prompt | content | acceptance | generation vs no draft |
|---|---|---|---|
| ~180 tok | coding prompts | 0.83–0.93 | +23% |
| ~2k tok | C++ source | 0.74 | +14% |
| ~7.7k tok | C++ source | 0.73 | +17% |
convert_hf_to_gguf.py --mtp --outtype bf16 (rev c013cd8) from deepseek-ai/DeepSeek-V4-Flash shards model-00001-of-00046, model-00045-of-00046, model-00046-of-00046.float8_e8m0fnu; the repo's pinned torch 2.2 fails.bf16 describes the attention/norm/embedding tensors. The MoE experts remain MXFP4 (~4.25 bpw) as shipped by DeepSeek; there is no further room to quantize them.3efae2854ca205a338f536a434649c1007df22ccfd72b102aa006c3bb5bc912c