Image-Text-to-Text
MLX
Safetensors
English
Chinese
qwen3_5_moe
heretic
uncensored
unrestricted
decensored
abliterated
nvfp4
conversational
4-bit precision
Instructions to use TheCluster/Qwen3.5-35B-A3B-Heretic-MLX-nvfp4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TheCluster/Qwen3.5-35B-A3B-Heretic-MLX-nvfp4 with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("TheCluster/Qwen3.5-35B-A3B-Heretic-MLX-nvfp4") config = load_config("TheCluster/Qwen3.5-35B-A3B-Heretic-MLX-nvfp4") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use TheCluster/Qwen3.5-35B-A3B-Heretic-MLX-nvfp4 with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "TheCluster/Qwen3.5-35B-A3B-Heretic-MLX-nvfp4"
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "TheCluster/Qwen3.5-35B-A3B-Heretic-MLX-nvfp4" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent
How to use TheCluster/Qwen3.5-35B-A3B-Heretic-MLX-nvfp4 with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "TheCluster/Qwen3.5-35B-A3B-Heretic-MLX-nvfp4"
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default TheCluster/Qwen3.5-35B-A3B-Heretic-MLX-nvfp4
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use TheCluster/Qwen3.5-35B-A3B-Heretic-MLX-nvfp4 with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "TheCluster/Qwen3.5-35B-A3B-Heretic-MLX-nvfp4"
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "TheCluster/Qwen3.5-35B-A3B-Heretic-MLX-nvfp4" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
File size: 3,102 Bytes
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license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3.5-35B-A3B/blob/main/LICENSE
language:
- en
- zh
base_model:
- brayniac/Qwen3.5-35B-A3B-heretic
library_name: mlx
tags:
- heretic
- uncensored
- unrestricted
- decensored
- abliterated
- nvfp4
pipeline_tag: image-text-to-text
---
<div align="center"><img width="400px" src="https://qianwen-res.oss-accelerate.aliyuncs.com/logo_qwen3.5.png"></div>
# Qwen3.5-35B-A3B Heretic MLX nvfp4
### This is a decensored version of [Qwen/Qwen3.5-35B-A3B](https://huggingface.co/Qwen/Qwen3.5-35B-A3B), made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0
Also this model includes a fixed template for correctly calling tools in LM Studio.
## Performance
| Metric | This model | Original model (a model) |
| :----- | :--------: | :---------------------------: |
| **KL divergence** | 0.0825 | 0 *(by definition)* |
| **Refusals** | 5/100 | 92/100 |
## Abliteration parameters
| Parameter | Value |
| :-------- | :---: |
| **direction_index** | 20.06 |
| **linear_attn.out_proj.max_weight** | 0.93 |
| **linear_attn.out_proj.max_weight_position** | 37.63 |
| **linear_attn.out_proj.min_weight** | 0.71 |
| **linear_attn.out_proj.min_weight_distance** | 4.94 |
| **moe_experts.down_proj.max_weight** | 1.18 |
| **moe_experts.down_proj.max_weight_position** | 23.68 |
| **moe_experts.down_proj.min_weight** | 0.86 |
| **moe_experts.down_proj.min_weight_distance** | 5.48 |
| **shared_expert.down_proj.max_weight** | 1.33 |
| **shared_expert.down_proj.max_weight_position** | 36.08 |
| **shared_expert.down_proj.min_weight** | 0.70 |
| **shared_expert.down_proj.min_weight_distance** | 17.75 |
| **attn.o_proj.max_weight** | 0.83 |
| **attn.o_proj.max_weight_position** | 35.00 |
| **attn.o_proj.min_weight** | 0.06 |
| **attn.o_proj.min_weight_distance** | 15.22 |
#### Sampling Parameters:
- We suggest using the following sets of sampling parameters depending on the mode and task type:
- **Thinking mode for general tasks**:
`temperature=1.0`, `top_p=0.95`, `top_k=20`, `min_p=0.0`, `presence_penalty=1.5`, `repetition_penalty=1.0`
- **Thinking mode for precise coding tasks (e.g., WebDev)**:
`temperature=0.6`, `top_p=0.95`, `top_k=20`, `min_p=0.0`, `presence_penalty=0.0`, `repetition_penalty=1.0`
- **Instruct (or non-thinking) mode for general tasks**:
`temperature=0.7`, `top_p=0.8`, `top_k=20`, `min_p=0.0`, `presence_penalty=1.5`, `repetition_penalty=1.0`
- **Instruct (or non-thinking) mode for reasoning tasks**:
`temperature=1.0`, `top_p=1.0`, `top_k=40`, `min_p=0.0`, `presence_penalty=2.0`, `repetition_penalty=1.0`
- For supported frameworks, you can adjust the `presence_penalty` parameter between 0 and 2 to reduce endless repetitions. However, using a higher value may occasionally result in language mixing and a slight decrease in model performance.
-----
### Source
This model was converted to MLX format from [`brayniac/Qwen3.5-35B-A3B-heretic`](https://huggingface.co/brayniac/Qwen3.5-35B-A3B-heretic) using mlx-vlm version **0.3.12**. |