Image-Text-to-Text
MLX
Safetensors
English
Chinese
qwen3_5_moe
heretic
uncensored
unrestricted
decensored
abliterated
mxfp8
conversational
8-bit precision
Instructions to use TheCluster/Qwen3.5-35B-A3B-Heretic-MLX-mxfp8 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-mxfp8 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-mxfp8") config = load_config("TheCluster/Qwen3.5-35B-A3B-Heretic-MLX-mxfp8") # 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-mxfp8 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-mxfp8"
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-mxfp8" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent
How to use TheCluster/Qwen3.5-35B-A3B-Heretic-MLX-mxfp8 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-mxfp8"
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-mxfp8
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use TheCluster/Qwen3.5-35B-A3B-Heretic-MLX-mxfp8 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-mxfp8"
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-mxfp8" \ --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"
Update chat_template.jinja
Browse files- chat_template.jinja +1 -4
chat_template.jinja
CHANGED
|
@@ -75,9 +75,6 @@
|
|
| 75 |
{%- endif %}
|
| 76 |
{%- endif %}
|
| 77 |
{%- endfor %}
|
| 78 |
-
{%- if ns.multi_step_tool %}
|
| 79 |
-
{{- raise_exception('No user query found in messages.') }}
|
| 80 |
-
{%- endif %}
|
| 81 |
{%- for message in messages %}
|
| 82 |
{%- set content = render_content(message.content, true)|trim %}
|
| 83 |
{%- if message.role == "system" %}
|
|
@@ -119,7 +116,7 @@
|
|
| 119 |
{%- if tool_call.arguments is defined %}
|
| 120 |
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 121 |
{{- '<parameter=' + args_name + '>\n' }}
|
| 122 |
-
{%- set args_value = args_value | tojson
|
| 123 |
{{- args_value }}
|
| 124 |
{{- '\n</parameter>\n' }}
|
| 125 |
{%- endfor %}
|
|
|
|
| 75 |
{%- endif %}
|
| 76 |
{%- endif %}
|
| 77 |
{%- endfor %}
|
|
|
|
|
|
|
|
|
|
| 78 |
{%- for message in messages %}
|
| 79 |
{%- set content = render_content(message.content, true)|trim %}
|
| 80 |
{%- if message.role == "system" %}
|
|
|
|
| 116 |
{%- if tool_call.arguments is defined %}
|
| 117 |
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 118 |
{{- '<parameter=' + args_name + '>\n' }}
|
| 119 |
+
{%- set args_value = args_value | tojson if args_value is mapping or (args_value is iterable and args_value is not string) else args_value | string %}
|
| 120 |
{{- args_value }}
|
| 121 |
{{- '\n</parameter>\n' }}
|
| 122 |
{%- endfor %}
|