Instructions to use mlxstudio/qwen3-4b-4bit-terminal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mlxstudio/qwen3-4b-4bit-terminal 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("mlxstudio/qwen3-4b-4bit-terminal")

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 mlxstudio/qwen3-4b-4bit-terminal with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "mlxstudio/qwen3-4b-4bit-terminal"

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": "mlxstudio/qwen3-4b-4bit-terminal"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use mlxstudio/qwen3-4b-4bit-terminal 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 "mlxstudio/qwen3-4b-4bit-terminal"

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 mlxstudio/qwen3-4b-4bit-terminal

Run Hermes

hermes

MLX LM

How to use mlxstudio/qwen3-4b-4bit-terminal with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "mlxstudio/qwen3-4b-4bit-terminal"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "mlxstudio/qwen3-4b-4bit-terminal"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "mlxstudio/qwen3-4b-4bit-terminal",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Qwen3-4B-4bit Terminal Assistant

Fine-tuned Qwen3-4B model for terminal command generation. Optimized for LocalTerm app.

Note: HuggingFace shows "0.6B params" - this is incorrect. The actual model has 4 billion parameters (4-bit quantized). HuggingFace miscalculates param count for MLX quantized safetensors files.

Model Details

Base Model: mlx-community/Qwen3-4B-4bit
Actual Parameters: 4 billion (same as base model)
Quantization: 4-bit (MLX format, ~2.3GB file size)
Fine-tuning: QLoRA on 16 layers
Training Data: 388 examples, 74 terminal commands
Accuracy: 98% on test set (147/150 correct)

Usage

With MLX-LM (Python)

from mlx_lm import load, generate

model, tokenizer = load("mlxstudio/qwen3-4b-4bit-terminal")
prompt = "how to create a git repository"
response = generate(model, tokenizer, prompt=prompt, max_tokens=100)
print(response)

With LocalTerm (macOS app)

Model auto-downloads on first run. See LocalTerm.

Training Details

Method: QLoRA fine-tuning with mlx-lm
Iterations: 300
Learning Rate: 1e-5
Data Format: Qwen3 chat template with /nothink tag
Train/Test Split: Clean split (0% overlap)

Version History

v2 (2026-01-22): Re-fused model with correct weight format
- Fixed: .linear. prefix issue in LoRA merged weights
- Now compatible with mlx-swift-lm
v1 (2026-01-21): Initial release (had loading issues in Swift)

License

Apache 2.0 (same as base model)

Downloads last month: 40

Safetensors

Model size

0.6B params

Tensor type

BF16

U32

MLX

Hardware compatibility

4-bit

Model tree for mlxstudio/qwen3-4b-4bit-terminal

Base model

Qwen/Qwen3-4B-Base

Finetuned

Qwen/Qwen3-4B

Quantized

mlx-community/Qwen3-4B-4bit

Quantized

(3)

this model