Text Generation
MLX
Safetensors
English
Chinese
mimo_v2
agent
long-context
conversational
custom_code
4-bit precision
Instructions to use mlx-community/MiMo-V2.6-Pro-RL-mxfp4-q8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/MiMo-V2.6-Pro-RL-mxfp4-q8 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("mlx-community/MiMo-V2.6-Pro-RL-mxfp4-q8") 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 mlx-community/MiMo-V2.6-Pro-RL-mxfp4-q8 with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "mlx-community/MiMo-V2.6-Pro-RL-mxfp4-q8"
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": "mlx-community/MiMo-V2.6-Pro-RL-mxfp4-q8" } ] } } }Run Pi
# Start Pi in your project directory: pi
- MLX LM
How to use mlx-community/MiMo-V2.6-Pro-RL-mxfp4-q8 with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "mlx-community/MiMo-V2.6-Pro-RL-mxfp4-q8"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "mlx-community/MiMo-V2.6-Pro-RL-mxfp4-q8" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mlx-community/MiMo-V2.6-Pro-RL-mxfp4-q8", "messages": [ {"role": "user", "content": "Hello"} ] }' - Hermes Agent
How to use mlx-community/MiMo-V2.6-Pro-RL-mxfp4-q8 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 "mlx-community/MiMo-V2.6-Pro-RL-mxfp4-q8"
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 mlx-community/MiMo-V2.6-Pro-RL-mxfp4-q8
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use mlx-community/MiMo-V2.6-Pro-RL-mxfp4-q8 with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "mlx-community/MiMo-V2.6-Pro-RL-mxfp4-q8"
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 "mlx-community/MiMo-V2.6-Pro-RL-mxfp4-q8" \ --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: 3,867 Bytes
f7edb41 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 | {%- macro render_value(value) -%}
{%- if value is string -%}
{{- value -}}
{%- else -%}
{{- value | tojson(ensure_ascii=False) -}}
{%- endif -%}
{%- endmacro -%}
{%- macro render_content(message_content) -%}
{%- if message_content is string -%}
{{- message_content -}}
{%- elif message_content is iterable -%}
{%- for part in message_content -%}
{%- if part is not mapping -%}
{{- part -}}
{%- elif part['type'] == 'image' or 'image' in part or 'image_url' in part -%}
{{- '<|vision_start|><|image_pad|><|vision_end|>' -}}
{%- elif part['type'] == 'audio' or part['type'] == 'input_audio' or 'audio' in part or 'audio_url' in part or 'input_audio' in part -%}
{{- '<|mimo_audio_start|><|audio_pad|><|mimo_audio_end|>' -}}
{%- elif part['type'] == 'video' or 'video' in part or 'video_url' in part -%}
{{- '<|vision_start|><|video_pad|><|vision_end|>' -}}
{%- elif 'text' in part -%}
{{- part['text'] -}}
{%- endif -%}
{%- endfor -%}
{%- endif -%}
{%- endmacro -%}
{%- macro render_tools(tools) -%}
{{- 'You are provided with the following tools:\n\n<tools>' -}}
{%- for tool in tools -%}
{{- '\n' ~ (tool | tojson(ensure_ascii=False)) -}}
{%- endfor -%}
{{- '\n</tools>' -}}
{%- endmacro -%}
{%- macro render_tool_calls(tool_calls) -%}
{%- for tool_call in tool_calls -%}
{%- if tool_call.function is defined -%}
{%- set tool_call = tool_call.function -%}
{%- elif tool_call.custom is defined -%}
{%- set tool_call = tool_call.custom -%}
{%- endif -%}
{{- '<tool_call><function=' ~ tool_call.name ~ '>' -}}
{%- if tool_call.input is defined and tool_call.input is string -%}
{{- tool_call.input -}}
{%- elif tool_call.arguments -%}
{%- if tool_call.arguments is string -%}
{{- tool_call.arguments -}}
{%- else -%}
{%- for args_name, args_value in tool_call.arguments | items -%}
{{- '<parameter=' ~ args_name ~ '>' ~ render_value(args_value) ~ '</parameter>' -}}
{%- endfor -%}
{%- endif -%}
{%- endif -%}
{{- '</function></tool_call>' -}}
{%- endfor -%}
{%- endmacro -%}
{%- macro render_assistant_message(message) -%}
{%- set content = render_content(message.content) -%}
{%- set reasoning = message.reasoning_content if message.reasoning_content is string else '' -%}
{{- '<|im_start|>assistant\n<think>' ~ reasoning ~ '</think>' ~ content -}}
{%- if message.tool_calls is defined and message.tool_calls is iterable and message.tool_calls | length > 0 -%}
{{- render_tool_calls(message.tool_calls) -}}
{%- endif -%}
{{- '<|im_end|>' -}}
{%- endmacro -%}
{%- if tools is defined and tools is iterable and tools | length > 0 -%}
{{- '<|im_start|>system\n' ~ render_tools(tools) ~ '<|im_end|>' -}}
{%- endif -%}
{%- for message in messages -%}
{%- if message.role == 'assistant' -%}
{{- render_assistant_message(message) -}}
{%- else -%}
{%- set body = render_content(message.content) -%}
{{- '<|im_start|>' ~ message.role ~ '\n' ~ body -}}
{%- if message.tools is defined and message.tools is iterable and message.tools | length > 0 -%}
{%- if body -%}
{{- '\n\n' -}}
{%- endif -%}
{{- render_tools(message.tools) -}}
{%- endif -%}
{{- '<|im_end|>' -}}
{%- endif -%}
{%- endfor -%}
{%- if add_generation_prompt -%}
{{- '<|im_start|>assistant\n' -}}
{%- if enable_thinking is false -%}
{{- '<think></think>' -}}
{%- endif -%}
{%- endif -%}
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