Instructions to use xquantize/k2-geoscience-7b-4bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use xquantize/k2-geoscience-7b-4bit-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("xquantize/k2-geoscience-7b-4bit-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 xquantize/k2-geoscience-7b-4bit-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 "xquantize/k2-geoscience-7b-4bit-mlx" --prompt "Once upon a time"
- Atomic Chat
Download generation_config.json from xquantize/k2-geoscience-7b-4bit-mlx: direct link, hf CLI and curl.
- Browser
- Download file 132 Bytes
-
https://huggingface.co/xquantize/k2-geoscience-7b-4bit-mlx/resolve/main/generation_config.json
- Command line
-
hf download hf://xquantize/k2-geoscience-7b-4bit-mlx/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/xquantize/k2-geoscience-7b-4bit-mlx/resolve/main/generation_config.json
132 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.41.2" | |
| } | |