Instructions to use RecursiveSI/flint-int4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use RecursiveSI/flint-int4 with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("RecursiveSI/flint-int4") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use RecursiveSI/flint-int4 with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "RecursiveSI/flint-int4"
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": "RecursiveSI/flint-int4" } ] } } }Run Pi
# Start Pi in your project directory: pi
- MLX LM
How to use RecursiveSI/flint-int4 with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "RecursiveSI/flint-int4"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "RecursiveSI/flint-int4" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RecursiveSI/flint-int4", "messages": [ {"role": "user", "content": "Hello"} ] }' - Hermes Agent
How to use RecursiveSI/flint-int4 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 "RecursiveSI/flint-int4"
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 RecursiveSI/flint-int4
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use RecursiveSI/flint-int4 with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "RecursiveSI/flint-int4"
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 "RecursiveSI/flint-int4" \ --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"
Download chat_template.jinja from RecursiveSI/flint-int4: direct link, hf CLI and curl.
- Browser
- Download file 2.33 kB
-
https://huggingface.co/RecursiveSI/flint-int4/resolve/main/chat_template.jinja
- Command line
-
hf download hf://RecursiveSI/flint-int4/chat_template.jinja
-
curl -L -o chat_template.jinja https://huggingface.co/RecursiveSI/flint-int4/resolve/main/chat_template.jinja
2.33 kB
| {%- macro flint_text(t) -%} | |
| {%- if t is string -%} | |
| {{- t | replace("\x00", "") | replace("<think>", "") | replace("</think>", "") | replace("<|begin_of_text|>", "<|begin_of_text|>") | replace("<|end_of_text|>", "<|end_of_text|>") | replace("<|system|>", "<|system|>") | replace("<|developer|>", "<|developer|>") | replace("<|user|>", "<|user|>") | replace("<|assistant|>", "<|assistant|>") | replace("<|observation|>", "<|observation|>") -}} | |
| {%- else -%} | |
| {{- t -}} | |
| {%- endif -%} | |
| {%- endmacro -%} | |
| {%- set tool_preamble -%} | |
| {%- if tools %}<|system|> | |
| # Tools | |
| You may call one or more functions to assist with the user query. | |
| You are provided with function signatures within <tools></tools> XML tags: | |
| <tools> | |
| {%- for tool in tools %} | |
| {%- set fn = tool.function if tool.function is defined else tool %} | |
| {{ fn | tojson(ensure_ascii=False) }} | |
| {%- endfor %} | |
| </tools> | |
| For each function call, output the function name and arguments within the following XML format: | |
| <tool_call>{function-name}<arg_key>{arg-key-1}</arg_key><arg_value>{arg-value-1}</arg_value>...</tool_call> | |
| {% endif -%} | |
| {%- endset -%} | |
| {%- set ns = namespace(tools_pending=true) -%} | |
| {%- for m in messages -%} | |
| {%- if ns.tools_pending and m.role != 'system' -%} | |
| {{ tool_preamble }} | |
| {%- set ns.tools_pending = false -%} | |
| {%- endif -%} | |
| {%- if m.role == 'system' -%} | |
| <|system|>{{ flint_text(m.content) }} | |
| {%- elif m.role == 'developer' -%} | |
| <|developer|>{{ flint_text(m.content) }} | |
| {%- elif m.role == 'user' -%} | |
| <|user|>{{ flint_text(m.content) }} | |
| {%- elif m.role == 'assistant' -%} | |
| <|assistant|> | |
| {%- if m.reasoning_content %}<think>{{ m.reasoning_content }}</think>{% endif -%} | |
| {%- if m.content %}{{ m.content }}{% endif -%} | |
| {%- if m.tool_calls -%} | |
| {%- for tc in m.tool_calls -%} | |
| {%- set fn = tc.function if tc.function is defined else tc -%} | |
| <tool_call>{{ fn.name }} | |
| {%- for k, v in fn.arguments.items() -%} | |
| <arg_key>{{ k }}</arg_key><arg_value>{{ v | tojson(ensure_ascii=False) if v is not string else v }}</arg_value> | |
| {%- endfor -%} | |
| </tool_call> | |
| {%- endfor -%} | |
| {%- endif -%} | |
| {%- elif m.role == 'tool' -%} | |
| <|observation|><tool_response>{{ flint_text(m.content) }}</tool_response> | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- if ns.tools_pending -%} | |
| {{ tool_preamble }} | |
| {%- endif -%} | |
| {%- if add_generation_prompt -%} | |
| <|assistant|> | |
| {%- endif -%} | |