Image-Text-to-Text
MLX
Safetensors
English
Chinese
glm4v
heretic
uncensored
unrestricted
decensored
abliterated
conversational
8-bit precision
Instructions to use TheCluster/GLM-4.6V-Flash-Heretic-MLX-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TheCluster/GLM-4.6V-Flash-Heretic-MLX-8bit 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/GLM-4.6V-Flash-Heretic-MLX-8bit") config = load_config("TheCluster/GLM-4.6V-Flash-Heretic-MLX-8bit") # 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/GLM-4.6V-Flash-Heretic-MLX-8bit 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/GLM-4.6V-Flash-Heretic-MLX-8bit"
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/GLM-4.6V-Flash-Heretic-MLX-8bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent
How to use TheCluster/GLM-4.6V-Flash-Heretic-MLX-8bit 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/GLM-4.6V-Flash-Heretic-MLX-8bit"
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/GLM-4.6V-Flash-Heretic-MLX-8bit
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use TheCluster/GLM-4.6V-Flash-Heretic-MLX-8bit 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/GLM-4.6V-Flash-Heretic-MLX-8bit"
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/GLM-4.6V-Flash-Heretic-MLX-8bit" \ --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"
| { | |
| "architectures": [ | |
| "Glm4vForConditionalGeneration" | |
| ], | |
| "dtype": "bfloat16", | |
| "eos_token_id": [ | |
| 151329, | |
| 151336, | |
| 151338, | |
| 151348 | |
| ], | |
| "image_end_token_id": 151340, | |
| "image_start_token_id": 151339, | |
| "image_token_id": 151363, | |
| "model_type": "glm4v", | |
| "quantization": { | |
| "group_size": 64, | |
| "bits": 8, | |
| "mode": "affine" | |
| }, | |
| "quantization_config": { | |
| "group_size": 64, | |
| "bits": 8, | |
| "mode": "affine" | |
| }, | |
| "text_config": { | |
| "attention_bias": true, | |
| "attention_dropout": 0.0, | |
| "dtype": "bfloat16", | |
| "eos_token_id": [ | |
| 151329, | |
| 151336, | |
| 151338 | |
| ], | |
| "hidden_act": "silu", | |
| "hidden_size": 4096, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 13696, | |
| "max_position_embeddings": 131072, | |
| "model_type": "glm4v_text", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 40, | |
| "num_key_value_heads": 2, | |
| "pad_token_id": 151329, | |
| "rms_norm_eps": 1e-05, | |
| "rope_parameters": { | |
| "mrope_section": [ | |
| 8, | |
| 12, | |
| 12 | |
| ], | |
| "partial_rotary_factor": 0.5, | |
| "rope_theta": 500000, | |
| "rope_type": "default" | |
| }, | |
| "use_cache": true, | |
| "vocab_size": 151552 | |
| }, | |
| "tie_word_embeddings": false, | |
| "transformers_version": "5.0.0rc1", | |
| "video_end_token_id": 151342, | |
| "video_start_token_id": 151341, | |
| "video_token_id": 151364, | |
| "vision_config": { | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "depth": 24, | |
| "dtype": "bfloat16", | |
| "hidden_act": "silu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 1536, | |
| "image_size": 336, | |
| "in_channels": 3, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 13696, | |
| "model_type": "glm4v_vision", | |
| "num_heads": 12, | |
| "out_hidden_size": 4096, | |
| "patch_size": 14, | |
| "rms_norm_eps": 1e-05, | |
| "spatial_merge_size": 2, | |
| "temporal_patch_size": 2 | |
| } | |
| } |