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"
File size: 307 Bytes
58e239c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"_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
}
|