Instructions to use n0kovo/llama-joycaption-beta-one-hf-llava-mlx-8Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use n0kovo/llama-joycaption-beta-one-hf-llava-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("n0kovo/llama-joycaption-beta-one-hf-llava-mlx-8Bit") config = load_config("n0kovo/llama-joycaption-beta-one-hf-llava-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 n0kovo/llama-joycaption-beta-one-hf-llava-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 "n0kovo/llama-joycaption-beta-one-hf-llava-mlx-8Bit"
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "n0kovo/llama-joycaption-beta-one-hf-llava-mlx-8Bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use n0kovo/llama-joycaption-beta-one-hf-llava-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 "n0kovo/llama-joycaption-beta-one-hf-llava-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 n0kovo/llama-joycaption-beta-one-hf-llava-mlx-8Bit
Run Hermes
hermes
- OpenClaw new
How to use n0kovo/llama-joycaption-beta-one-hf-llava-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 "n0kovo/llama-joycaption-beta-one-hf-llava-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 "n0kovo/llama-joycaption-beta-one-hf-llava-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"
| {{- bos_token }} | |
| {%- if not date_string is defined %} | |
| {%- set date_string = "26 July 2024" %} | |
| {%- endif %} | |
| {#- This block extracts the system message, so we can slot it into the right place. #} | |
| {%- if messages[0]['role'] == 'system' %} | |
| {%- set system_message = messages[0]['content'] %} | |
| {%- set messages = messages[1:] %} | |
| {%- else %} | |
| {%- set system_message = "" %} | |
| {%- endif %} | |
| {#- System message + builtin tools #} | |
| {{- "<|start_header_id|>system<|end_header_id|> | |
| " }} | |
| {{- "Cutting Knowledge Date: December 2023 | |
| " }} | |
| {{- "Today Date: " + date_string + " | |
| " }} | |
| {{- system_message }} | |
| {{- "<|eot_id|>" }} | |
| {%- set first_user_message = True %} | |
| {%- for message in messages %} | |
| {%- if first_user_message and message['role'] == 'user' %} | |
| {%- set first_user_message = False %} | |
| {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|> | |
| <|reserved_special_token_70|><|reserved_special_token_69|><|reserved_special_token_71|>'+ message['content'] + '<|eot_id|>' }} | |
| {%- else %} | |
| {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|> | |
| '+ message['content'] + '<|eot_id|>' }} | |
| {%- endif %} | |
| {%- endfor %} | |
| {%- if add_generation_prompt %} | |
| {{- '<|start_header_id|>assistant<|end_header_id|> | |
| ' }} | |
| {%- endif %} | |