--- language: en pipeline_tag: text-generation library_name: mlx license: apache-2.0 base_model: empero-ai/Qwythos-9B-Claude-Mythos-5-1M tags: - mlx - mtplx - mtp - multi-token-prediction - qwen3_5 - apple-silicon --- # Qwythos-9B-Claude-Mythos-5-MTPLX An [MTPLX](https://github.com/youssofal/MTPLX)-ready build of [empero-ai/Qwythos-9B-Claude-Mythos-5-1M](https://huggingface.co/empero-ai/Qwythos-9B-Claude-Mythos-5-1M) with a working **multi-token-prediction (MTP) head**, for faster local decoding on Apple Silicon with exact rejection-sampling. - **Body:** converted to MLX and quantized to **4-bit** (affine, group size 64). - **MTP head:** kept in **bf16** (small but drives draft acceptance). - **On disk:** ~5.2 GB. ## Why this exists The original `empero-ai/Qwythos-9B-Claude-Mythos-5-1M` safetensors release ships **without** an MTP head — only the companion [`...-1M-GGUF`](https://huggingface.co/empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF) repo carries a restored Qwen3.5-compatible MTP head (for llama.cpp `--spec-type draft-mtp`). MTPLX runs MLX, not GGUF, and its Forge tool only carries over an existing MTP head rather than training one. This build bridges the gap: the bf16 MTP head was extracted from the GGUF's `Qwythos-9B-Claude-Mythos-5-1M-MTP-BF16.gguf` (`blk.32` nextn tensors), remapped to MLX/MTPLX key names, paired with the full-precision body, and run through `mtplx forge build`. MTP-contract calibration reached **exact agreement (1.0)** at depths 1–3, confirming the head matches the trunk. ## Architecture | | | |---|---| | Base | Qwen3.5-9B (hybrid: 3:1 linear-attention to full-attention) | | Layers | 32 + 1 MTP layer | | Hidden / heads | 4096 / 16 attn, 4 KV, head_dim 256 | | Vocab | 248320 | | Max context | 1,048,576 (YaRN) | | MTPLX arch_id | `qwen3-next-mtp` | ## Usage (MTPLX) ```bash mtplx serve --model \ --chat-template-profile tokenizer \ --reasoning-parser qwen3 ``` Notes: - This is a **reasoning model** — it thinks before answering (`` block), so allow a generous `max_tokens` (>=2048). - Use `--chat-template-profile tokenizer` so the model's own chat template (with `` handling) is used, and `--reasoning-parser qwen3` to fold the thinking segment. - Default sampling: `temperature=0.6, top_p=0.95, top_k=20`. ## Provenance & license - Body: `empero-ai/Qwythos-9B-Claude-Mythos-5-1M` - MTP head: `empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF` - Forged locally with MTPLX Forge (see `mtplx_runtime.json` for the contract and verification details). - License: Apache-2.0, inherited from the base model. All credit for the base model and the restored MTP head belongs to Empero AI.