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EnclaveHost/qwen3.6-27b-mtp-gguf
qwen3.6-27b-mtp-gguf is a machine learning model from EnclaveHost. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Curated model volume for Enclave confidential inference: Qwen3.6-27B-MTP at unsloth Dynamic Q4KXL (~17.9 GB), a single-file GGUF bundled with the official tokenizer.json so the volume is self-contained.
Downloads · 30 days
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.gguf17.9 GB · 100%
From the Hugging Face model README
Curated model volume for Enclave confidential inference:
Qwen3.6-27B-MTP at unsloth Dynamic Q4_K_XL (~17.9 GB), a single-file GGUF
bundled with the official tokenizer.json so the volume is self-contained.
This is the SELF-DRAFTING variant of qwen3.6-27b-gguf: the GGUF carries the
model's trained multi-token-prediction head (one extra layer), and llm-chat's
"draft": "mtp" setting uses it for speculative decoding - the head proposes
the next few tokens at near-zero cost and the trunk verifies them in one pass.
Output is byte-for-byte the trunk's own (exact-match verification); the head
only changes speed. No separate draft model, no second weights allocation -
prefer this volume over the plain 27b + a draft-model pairing.
Upstream unsloth/Qwen3.6-27B-MTP-GGUF
ships many quantizations plus vision mmproj files and no tokenizer.json.
This volume carries ONLY the one served quant plus the tokenizer (same
rationale as the sibling volumes).
| File | Upstream | Revision | sha256 |
|---|---|---|---|
Qwen3.6-27B-UD-Q4_K_XL.gguf | unsloth/Qwen3.6-27B-MTP-GGUF | 5cb35eb3dcbf52dbce5f87dbc64df6aaffadcace | 4085665ee36d82a672a238a43f0e5643f2f0e39f2d7bd5d373f0ef10ecf53095 |
tokenizer.json | Qwen/Qwen3.6-27B | (byte-identical family copy) | 5f9e4d4901a92b997e463c1f46055088b6cca5ca61a6522d1b9f64c4bb81cb42 |
The tokenizer is byte-identical to the qwen3.6-27b-gguf / qwen3.5-9b-gguf /
qwen3.5-122b-gguf / qwen3.5-0.8b-gguf copies (vocab 248320,
<|im_end|> 248046 / <|endoftext|> 248044).
Model geometry (GGUF arch qwen35, hybrid-SSM trunk + 1 dense-attention MTP
layer): 64 trunk layers, full_attention_interval 4 (16 trunk KV layers), 4 KV
heads, head_dim 256. For VRAM budgeting count the MTP head as one more
full-attention KV layer (17 total) - its context is created lazily when a
speculative session first opens.
LICENSE is the Apache-2.0 text; both upstreams are Apache-2.0.
Wrapped as a Tinfoil Modelwrap volume (dm-verity; the root hash is part of the
enclave measurement). Deployments attach it by name; the wasm-manager mounts it
read-only at /models/qwen3.6-27b-mtp-gguf.