The first MTPLX build of Qwopus3.6-27B-Coder — Jackrong's agentic-coding fine-tune of Qwopus3.6-27B-v2 (repo-level coding, multi-turn tool orchestration, 67.0% SWE-bench Verified in no-thinking mode), with native multi-token-prediction speculative decoding on Apple Silicon. No external drafter, exact rejection sampling. 8-bit sibling: nom666/Qwopus3.6-27B-Coder-MTPLX-8bit-Quality.

Forged with mtplx forge build from the original BF16 Jackrong/Qwopus3.6-27B-Coder:

Body: flat 4-bit MLX affine quantization, group size 64
MTP head: preserved in BF16 (mtp_policy: keep_bf16), packed as mtp.safetensors sidecar
Size: ~15 GB
Calibrated MTP contract included (mtplx_runtime.json)

Measured performance (Apple M5 Max, 128 GB, MTPLX 1.0.3)

Mode	Decode	Acceptance by depth
MTP depth 2 (winner)	57.3 tok/s	97% / 90%

The Coder's MTP head was trained with draft=2, which shows: depth-2 acceptance is exceptional and depth 2 beats depth 3. Verification suite: long-code-uncapped, 2048-token budget. Use --depth 2 when serving.

Usage

bash

brew install youssofal/mtplx/mtplx   # or pipx install mtplx
mtplx pull nom666/Qwopus3.6-27B-Coder-MTPLX-4bit-Speed
mtplx quickstart --model nom666/Qwopus3.6-27B-Coder-MTPLX-4bit-Speed \
  --depth 2 --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).

Notes

This fine-tune targets no-thinking agentic use — pair with --reasoning off.
Runtime contract tier is forge-local: verified on the forging machine (M5 Max).
Quantized with MTPLX 1.0.3 Forge. All credit for the fine-tune to Jackrong; base Qwen3.6-27B (Apache-2.0).