license: other
library_name: mlx
base_model: OpenYourMind/Qwopus3.5-122B-A10B-Kimi-K2.6-destill-healed-abliterated
tags:
- mlx
- qwen
- qwen3
- qwen3.5
- moe
- abliterated
- uncensored
- dpo
- opus
- qwopus
- kimi
- kimi-k2
- multimodal
- vision
- 4-bit
pipeline_tag: image-text-to-text
Support & Community
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Qwopus3.5-122B-A10B-Kimi-K2.6-destill-healed-abliterated — MLX 4-bit
Overview
MLX 4-bit quant of OpenYourMind/Qwopus3.5-122B-A10B-Kimi-K2.6-destill-healed-abliterated for Apple Silicon (LM Studio / mlx-vlm). See the parent repo for the full pipeline: refusal ablation → constrained-LoRA Opus reasoning SFT → unconstrained chosen-completion SFT → Kimi K2.6 reasoning DPO (≈3,000 distilled samples + synthetic data, improving reasoning verbosity on ~12% of requests and removing looping on 2–6% of long-tail conversations).
- Multimodal: the vision tower is included and kept in full precision (BF16) — image input works.
- Language: 4-bit, group size 64 (MoE routing gates kept at higher precision via the model's quant predicate), ≈ 4.5 bits/weight overall.
MTP
The MTP head is not included in this MLX build: no current MLX runtime (mlx-lm / mlx-vlm, including LM Studio's bundled engine) consumes the qwen3.5 MTP head — they drop mtp.* on load — so it was omitted to keep the model loading cleanly. If/when an MLX runtime adds qwen3.5 MTP support, an MTP-enabled build can be produced from the full weights. (Note: MTP gave no measurable gain in our testing and would need retraining to be useful — see the parent card. For MTP today, use the GGUF build with llama.cpp.)
Files
| File | Description | Size |
|---|---|---|
model-*-of-00014.safetensors |
4-bit language weights + BF16 vision tower | ~65 GB total |
config.json |
Qwen3_5MoeForConditionalGeneration + quantization (4-bit, g64) |
— |
preprocessor_config.json, video_preprocessor_config.json, processor_config.json |
Qwen3-VL image/video processor | — |
tokenizer*, chat_template.jinja, generation_config.json |
Standard | — |
Total on disk: ~65 GB.
Usage
pip install mlx-vlm
python -m mlx_vlm.generate \
--model OpenYourMind/Qwopus3.5-122B-A10B-Kimi-K2.6-destill-healed-abliterated-MLX-4bit \
--image path/to/image.jpg \
--prompt "Describe this image." --max-tokens 256
In LM Studio: drop the folder under your models directory (publisher OpenYourMind) and load it with the MLX runtime.
Hardware
~65 GB on disk; needs roughly ≥ 72 GB unified memory to load with usable context. Runs on M-series Macs with 96 GB+.
Notes
- License: Other (inherits from the Qwen3.5 base license)
- Parent (full weights): Qwopus3.5-122B-A10B-Kimi-K2.6-destill-healed-abliterated
- Modality: Text + Vision (image / video). MTP not included in this build.
- Architecture: Qwen3 MoE (~10B active / 122B total) + Qwen3-VL vision tower
Disclaimer
Use is the responsibility of the user. Ensure your usage complies with applicable laws, platform rules, and deployment requirements.