Instructions to use mlx-community/Mistral-7B-Instruct-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Mistral-7B-Instruct-v0.2 with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("mlx-community/Mistral-7B-Instruct-v0.2") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- MLX LM
How to use mlx-community/Mistral-7B-Instruct-v0.2 with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "mlx-community/Mistral-7B-Instruct-v0.2" --prompt "Once upon a time"
| { | |
| "dim": 4096, | |
| "n_layers": 32, | |
| "head_dim": 128, | |
| "hidden_dim": 14336, | |
| "n_heads": 32, | |
| "n_kv_heads": 8, | |
| "norm_eps": 1e-05, | |
| "vocab_size": 32000, | |
| "sliding_window": 4096, | |
| "rope_theta": 1000000.0, | |
| "model_type": "mistral" | |
| } | |