Instructions to use gopalanj/jevons-lfm25-1.2b-systemone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use gopalanj/jevons-lfm25-1.2b-systemone 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("gopalanj/jevons-lfm25-1.2b-systemone") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - PEFT
How to use gopalanj/jevons-lfm25-1.2b-systemone with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use gopalanj/jevons-lfm25-1.2b-systemone with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "gopalanj/jevons-lfm25-1.2b-systemone" --prompt "Once upon a time"
- Atomic Chat
Download adapters.safetensors from gopalanj/jevons-lfm25-1.2b-systemone: direct link, hf CLI and curl.
- Browser
- Download file 36.6 MB
-
https://huggingface.co/gopalanj/jevons-lfm25-1.2b-systemone/resolve/main/adapters.safetensors
- Command line
-
hf download hf://gopalanj/jevons-lfm25-1.2b-systemone/adapters.safetensors
-
curl -L -o adapters.safetensors https://huggingface.co/gopalanj/jevons-lfm25-1.2b-systemone/resolve/main/adapters.safetensors
36.6 MB
- Xet hash:
- 8b953737b30768782d51253d2f834bd5d7d24bdfdc86702a974e3e5692da4873
- Size of remote file:
- 36.6 MB
- SHA256:
- 842f66244bcb512756d32cc8fa0bf993bc5ab70892a5716a7ace3d6721ca27f5
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