Instructions to use majentik/MiniMax-M2.7-RotorQuant-MLX-3bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use majentik/MiniMax-M2.7-RotorQuant-MLX-3bit 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("majentik/MiniMax-M2.7-RotorQuant-MLX-3bit")

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
LM Studio

Pi new

How to use majentik/MiniMax-M2.7-RotorQuant-MLX-3bit with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "majentik/MiniMax-M2.7-RotorQuant-MLX-3bit"

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": "majentik/MiniMax-M2.7-RotorQuant-MLX-3bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use majentik/MiniMax-M2.7-RotorQuant-MLX-3bit 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 "majentik/MiniMax-M2.7-RotorQuant-MLX-3bit"

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 majentik/MiniMax-M2.7-RotorQuant-MLX-3bit

Run Hermes

hermes

MLX LM

How to use majentik/MiniMax-M2.7-RotorQuant-MLX-3bit with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "majentik/MiniMax-M2.7-RotorQuant-MLX-3bit"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "majentik/MiniMax-M2.7-RotorQuant-MLX-3bit"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "majentik/MiniMax-M2.7-RotorQuant-MLX-3bit",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

majentik commited on Apr 17

Commit

ff6cb0d

verified ·

1 Parent(s): ecbbd54

chore(card): enrich YAML frontmatter (pipeline_tag, language, library_name, inference)

Browse files

Files changed (1) hide show

README.md +9 -7

README.md CHANGED Viewed

@@ -6,13 +6,15 @@ license: other
 license_name: minimax-model-license
 license_link: https://huggingface.co/MiniMaxAI/MiniMax-M2.7/blob/main/LICENSE
 tags:
-  - minimax
-  - m2.7
-  - moe
-  - quantized
-  - rotorquant
-  - kv-cache-quantization
-  - mlx
 ---
 # MiniMax-M2.7-RotorQuant-MLX-3bit

 license_name: minimax-model-license
 license_link: https://huggingface.co/MiniMaxAI/MiniMax-M2.7/blob/main/LICENSE
 tags:
+- minimax
+- m2.7
+- moe
+- quantized
+- rotorquant
+- kv-cache-quantization
+- mlx
+language:
+- en
 ---
 # MiniMax-M2.7-RotorQuant-MLX-3bit