Instructions to use upadhyay/sql-4bit-1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use upadhyay/sql-4bit-1k 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("upadhyay/sql-4bit-1k") 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 upadhyay/sql-4bit-1k with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "upadhyay/sql-4bit-1k" --prompt "Once upon a time"
a4c2615b38c4bd609fce71cc1b0b9fa4d27d01895f2d4f1f6c6667012bb28d4c
Browse files- model.safetensors +3 -0
model.safetensors
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