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nom666/Qwopus3.6-27B-v2-MTPLX-8bit-Quality
Qwopus3.6-27B-v2-MTPLX-8bit-Quality is a text generation model from nom666. Use it when you need the model to write or continue text. It is set up for mlx. The card lists the license as apache-2.0.
The first MTPLX build of Qwopus3.6-27B-v2 — native multi-token-prediction speculative decoding on Apple Silicon, no external drafter, exact rejection sampling (Leviathan–Chen with residual correction), so sampling beh…
Downloads · 30 days
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.safetensors29.4 GB · 100%
How the weights are stored.
U3226.9B · 100%
From the Hugging Face model README
The first MTPLX build of Qwopus3.6-27B-v2 — native multi-token-prediction speculative decoding on Apple Silicon, no external drafter, exact rejection sampling (Leviathan–Chen with residual correction), so sampling behaves exactly like normal decoding, just faster.
Forged with mtplx forge build from the original BF16 Jackrong/Qwopus3.6-27B-v2:
mtp_policy: keep_bf16), packed as mtp.safetensors sidecarmtplx_runtime.json)| Mode | Decode | Acceptance by depth |
|---|---|---|
| Plain autoregressive | ~17.5 tok/s | — |
| MTP depth 3 | 39.0 tok/s (2.2×) | 94% / 86% / 74% |
Verification suite: long-code-uncapped, 2048-token budget. For reference, the same machine runs Qwopus-v2 Q6_K on llama.cpp with MTP (n=2) at ~24–26 tok/s — this build is ~55% faster at higher body precision.
brew install youssofal/mtplx/mtplx # or pipx install mtplx
mtplx pull nom666/Qwopus3.6-27B-v2-MTPLX-8bit-Quality
mtplx quickstart --model nom666/Qwopus3.6-27B-v2-MTPLX-8bit-Quality \
--depth 3 --paged-kv-quantization q8 --batching-preset agent --reasoning off
Serves OpenAI-compatible (/v1/chat/completions) and Anthropic-compatible (/v1/messages) endpoints with warm-prefix KV reuse, SSD session cache, continuous batching, and vision support. Full 262144-token context; only 16 of 64 layers carry KV (hybrid Gated DeltaNet architecture), so KV at 256K is ~16 GiB BF16 / ~8 GiB q8.
forge-local: verified on the forging machine (M5 Max). MTPLX loads it with an honest provenance note.--reasoning off is recommended for terse agentic/coding use.