Instructions to use usermma/UserLM-8b-mlx-2Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use usermma/UserLM-8b-mlx-2Bit 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("usermma/UserLM-8b-mlx-2Bit")

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

MLX LM

How to use usermma/UserLM-8b-mlx-2Bit with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "usermma/UserLM-8b-mlx-2Bit"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "usermma/UserLM-8b-mlx-2Bit"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "usermma/UserLM-8b-mlx-2Bit",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

UserLM-8b-mlx-2Bit / lmstudio:

usermma
/

UserLM-8b-mlx-2Bit

Commit History