Instructions to use LiquidAI/LFM2.5-2.6B-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use LiquidAI/LFM2.5-2.6B-MLX 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("LiquidAI/LFM2.5-2.6B-MLX") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use LiquidAI/LFM2.5-2.6B-MLX with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "LiquidAI/LFM2.5-2.6B-MLX" --prompt "Once upon a time"
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 124894, | |
| "eos_token_id": [ | |
| 124900 | |
| ], | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "pad_token_id": 124893, | |
| "temperature": 0.2, | |
| "top_k": 80, | |
| "repetition_penalty": 1.05, | |
| "transformers_version": "5.2.0", | |
| "use_cache": true | |
| } | |