Instructions to use logicless/qwen25-coder-3b-sql-create-context-lora-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use logicless/qwen25-coder-3b-sql-create-context-lora-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("logicless/qwen25-coder-3b-sql-create-context-lora-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 logicless/qwen25-coder-3b-sql-create-context-lora-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 "logicless/qwen25-coder-3b-sql-create-context-lora-mlx" --prompt "Once upon a time"
- Atomic Chat
Download adapter_config.json from logicless/qwen25-coder-3b-sql-create-context-lora-mlx: direct link, hf CLI and curl.
- Browser
- Download file 134 Bytes
-
https://huggingface.co/logicless/qwen25-coder-3b-sql-create-context-lora-mlx/resolve/main/adapter_config.json
- Command line
-
hf download hf://logicless/qwen25-coder-3b-sql-create-context-lora-mlx/adapter_config.json
-
curl -L -o adapter_config.json https://huggingface.co/logicless/qwen25-coder-3b-sql-create-context-lora-mlx/resolve/main/adapter_config.json
134 Bytes
| { | |
| "fine_tune_type": "lora", | |
| "num_layers": 16, | |
| "lora_parameters": { | |
| "rank": 16, | |
| "dropout": 0.05, | |
| "scale": 32.0 | |
| } | |
| } | |