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"
- Atomic Chat
|
Download README.md from upadhyay/sql-4bit-1k: direct link, hf CLI and curl.
- Browser
- Download file 606 Bytes
-
https://huggingface.co/upadhyay/sql-4bit-1k/resolve/main/README.md
- Command line
-
hf download hf://upadhyay/sql-4bit-1k/README.md
-
curl -L -o README.md https://huggingface.co/upadhyay/sql-4bit-1k/resolve/main/README.md
606 Bytes
| language: | |
| - en | |
| license: apache-2.0 | |
| pipeline_tag: text-generation | |
| tags: | |
| - pretrained | |
| - mlx | |
| inference: | |
| parameters: | |
| temperature: 0.7 | |
| # upadhyay/sql-4bit-1k | |
| The Model [upadhyay/sql-4bit-1k](https://huggingface.co/upadhyay/sql-4bit-1k) was converted to MLX format from [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) using mlx-lm version **0.15.2**. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("upadhyay/sql-4bit-1k") | |
| response = generate(model, tokenizer, prompt="hello", verbose=True) | |
| ``` | |