license: apache-2.0
language:
- en
base_model: - huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated
library_name: mlx
pipeline_tag: image-text-to-text
tags: - image-text-to-text
- vision
- multimodal
- vlm
- reasoning
- distillation
- chain-of-thought
- qwen
- qwen3.6
- mixture-of-experts
- moe
- lora
- unsloth
- abliterated
- uncensored
- mlx
- apple-silicon
- huihui
- quantized
- mxfp4
- mlx-vlm
inference: false
widget: - text: Summarize the operational risks in this deployment plan.
example_title: Reasoning prompt
Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-vmlx-mxfp4
Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-vmlx-mxfp4 is an mlx-vlm checkpoint derived from huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated, packaged for local multimodal experimentation on Apple Silicon.
Tested inference path
Inference for this checkpoint has been tested with
LibraxisAI/mlx-batch-server.
This is the recommended tested path for operator-controlled local multimodal mlx-lm / mlx-vlm inference on Apple Silicon.
| Aspect | Status |
|---|---|
| Tested runtime | LibraxisAI/mlx-batch-server |
| Target hardware | Apple Silicon |
| Inference mode | Local / self-hosted |
| Hugging Face Hosted Inference | Disabled for this repository (inference: false) |
This does not claim compatibility with every possible serving stack. It documents the path that has been exercised for this published checkpoint.
Intended use
- Local image-and-text reasoning on Apple Silicon
- Multimodal prompting experiments
- Screenshot, document, chart, and visual question-answering workflows
- Operator-controlled local inference where hosted inference is not desired
Out of scope
- Safety-critical decisions without domain expert review
- Claims of benchmark superiority not backed by published evaluation data
- Non-MLX runtime guarantees
- High-stakes visual interpretation without human validation
Training and conversion metadata
| Parameter | Value |
|---|---|
| Repository | LibraxisAI/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-vmlx-mxfp4 |
| Base model | huihui-ai/Huihui-Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated |
| Task | image-text-to-text |
| Library | mlx |
| Format | MLX / VMLX checkpoint |
| Quantization | MXFP4 |
| Target platform | Apple Silicon |
This card reports metadata present in the Hugging Face repository, existing frontmatter, or public config files. Missing benchmark, dataset, or training-run details are left explicit rather than reconstructed.
Usage
Use the library instructions above, or run this checkpoint through the tested local serving path: LibraxisAI/mlx-batch-server
Validation
End-to-end pipeline test 2026-04-22 on M3 Ultra (load → text → vision → unload), served via mlx-batch-server:
| Probe | TTFT | Output chars | Notes |
|---|---|---|---|
| Cold load | — | — | 21 s from cold to ready |
| Text — simple greeting (PL) | 0.51 s | 601 | Clean output, abliterated behaviour |
| Text — canonical (PL, literary) | 0.29 s | 718 | Concise reasoning trace |
| Vision — JPEG (Monument Valley) | 6.50 s | 873 | Accurate scene description |
3/3 probes passed. has_reasoning=True on all probes — this model emits reasoning traces via <think> markers.
Limitations
- Validate outputs on your own domain data before relying on this checkpoint.
- Memory use and speed depend heavily on Apple Silicon generation, unified-memory size, prompt length, and runtime configuration.
- Validation data above reflects M3 Ultra; expect different timings on other hardware.
License
apache-2.0. Check the upstream/base model license as well when a base model is declared.
𝚅𝚒𝚋𝚎𝚌𝚛𝚊𝚏𝚝𝚎𝚍. with AI Agents by VetCoders (c)2024-2026 LibraxisAI