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wang-yang/Ornith-1.0-35B-MTP-GGUF
Ornith-1.0-35B-MTP-GGUF is a text generation model from wang-yang. Use it when you need the model to write or continue text. It is set up for gguf. The card lists the license as mit.
Ornith-1.0-35B (qwen35moe, 35B-A3B, Qwen3.5 base) is a strong agentic-coding MoE that ships without MTP heads. This GGUF has an MTP head grafted in so it can use llama.cpp's --spec-type draft-mtp self-speculative deco…
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From the Hugging Face model README
Ornith-1.0-35B (qwen35moe, 35B-A3B,
Qwen3.5 base) is a strong agentic-coding MoE that ships without MTP heads. This GGUF has an
MTP head grafted in so it can use llama.cpp's --spec-type draft-mtp self-speculative
decoding for a real speedup, with no quality change to the base weights.
Quantization: Q6_K (body + grafted MTP head).
Generation speed (tg128) on a real code-continuation prompt, sweeping draft depth:
| Mode | tok/s | Speedup | MTP acceptance | mean accepted len |
|---|---|---|---|---|
| AR (no MTP) | 66.6 | 1.00× | — | — |
| draft-mtp n_max=1 | 83.8 | 1.26× | 92.2% | 1.92 |
| draft-mtp n_max=2 | 82.8 | 1.24× | 82.5% | 2.65 |
| draft-mtp n_max=3 | 81.7 | 1.23× | 78.2% | 3.35 |
| draft-mtp n_max=4 | 75.9 | 1.14× | 68.1% | 3.72 |
Best: --spec-draft-n-max 1, ~1.26×. (Acceptance is much higher on real text than on random
tokens — benchmark with a real prompt or you'll badly underestimate MTP.)
llama-server -m Ornith-1.0-35B-Q6_K-MTP.gguf -ngl 99 -c 32768 \
--spec-type draft-mtp --spec-draft-n-max 1 --port 8080
Requires a llama.cpp build with draft-mtp speculative support.
qwen35moe, 40 blocks) sibling that ships MTP
heads, following the cross-model graft approach published by
skinnyctax/Ornith-1.0-35B-Q6_K-Frankenstein-MTP-GGUF (MIT).
The 20 MTP head tensors (blk.40.*, incl. nextn.*) are appended to the base GGUF and metadata
patched (block_count +1, nextn_predict_layers=1).Released under MIT. No weights retrained — this is a head graft + metadata patch.