Instructions to use baa-ai/MiniMax-M2.7-RAM-203GB-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use baa-ai/MiniMax-M2.7-RAM-203GB-MLX 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("baa-ai/MiniMax-M2.7-RAM-203GB-MLX")

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

How to use baa-ai/MiniMax-M2.7-RAM-203GB-MLX with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "baa-ai/MiniMax-M2.7-RAM-203GB-MLX"

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": "baa-ai/MiniMax-M2.7-RAM-203GB-MLX"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use baa-ai/MiniMax-M2.7-RAM-203GB-MLX 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 "baa-ai/MiniMax-M2.7-RAM-203GB-MLX"

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 baa-ai/MiniMax-M2.7-RAM-203GB-MLX

Run Hermes

hermes

OpenClaw new

How to use baa-ai/MiniMax-M2.7-RAM-203GB-MLX with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "baa-ai/MiniMax-M2.7-RAM-203GB-MLX"

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 "baa-ai/MiniMax-M2.7-RAM-203GB-MLX" \
  --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"

MLX LM

How to use baa-ai/MiniMax-M2.7-RAM-203GB-MLX with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "baa-ai/MiniMax-M2.7-RAM-203GB-MLX"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "baa-ai/MiniMax-M2.7-RAM-203GB-MLX"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "baa-ai/MiniMax-M2.7-RAM-203GB-MLX",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

MiniMax-M2.7-RAM-203GB-MLX / README.md

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	---
	library_name: mlx
	tags:
	- mlx
	- quantized
	- mixed-precision
	- minimax
	- minimax_m2
	- moe
	license: other
	license_name: minimax-m2-license
	license_link: LICENSE
	base_model: MiniMaxAI/MiniMax-M2.7
	base_model_relation: quantized
	pipeline_tag: text-generation
	language: en
	---

	# MiniMax-M2.7 — 203 GB (MLX)

	Earlier build of the MiniMax-M2.7 mixed-precision MLX family, by [baa.ai](https://baa.ai).

	## Current builds

	For updated builds with HumanEval results and recommended inference settings, see:

	\| Variant \| Size \| Link \|
	\|---\|---\|---\|
	\| 100 GB \| 100.1 GB \| [baa-ai/MiniMax-M2.7-RAM-100GB-MLX](https://huggingface.co/baa-ai/MiniMax-M2.7-RAM-100GB-MLX) \|
	\| 111 GB \| 110.9 GB \| [baa-ai/MiniMax-M2.7-RAM-111GB-MLX](https://huggingface.co/baa-ai/MiniMax-M2.7-RAM-111GB-MLX) \|
	\| 116 GB \| 116.0 GB \| [baa-ai/MiniMax-M2.7-RAM-116GB-MLX](https://huggingface.co/baa-ai/MiniMax-M2.7-RAM-116GB-MLX) \|
	\| 120 GB \| 120.1 GB \| [baa-ai/MiniMax-M2.7-RAM-120GB-MLX](https://huggingface.co/baa-ai/MiniMax-M2.7-RAM-120GB-MLX) \|

	## Usage

	```python
	from mlx_lm import load, generate

	model, tokenizer = load("baa-ai/MiniMax-M2.7-RAM-203GB-MLX")
	response = generate(model, tokenizer, prompt="Hello!", max_tokens=512)
	print(response)
	```

	## License

	Inherited from the upstream [MiniMax-M2.7 license](https://huggingface.co/MiniMaxAI/MiniMax-M2.7/blob/main/LICENSE): non-commercial use permitted; commercial use requires written authorization from MiniMax.

	---
	Quantized by [baa.ai](https://baa.ai)