| | --- |
| | language: |
| | - en |
| | - de |
| | - fr |
| | - it |
| | - pt |
| | - hi |
| | - es |
| | - th |
| | library_name: transformers |
| | pipeline_tag: text-generation |
| | tags: |
| | - facebook |
| | - meta |
| | - pytorch |
| | - llama |
| | - llama-3 |
| | - mlx |
| | license: llama3.2 |
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| | base_model: meta-llama/Llama-3.2-3B-Instruct |
| | --- |
| | |
| | # AlterEgo09/Cocktail-llama |
| |
|
| | The Model [AlterEgo09/Cocktail-llama](https://huggingface.co/AlterEgo09/Cocktail-llama) was |
| | converted to MLX format from [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) |
| | using mlx-lm version **0.21.0**. |
| |
|
| | ## Use with mlx |
| |
|
| | ```bash |
| | pip install mlx-lm |
| | ``` |
| |
|
| | ```python |
| | from mlx_lm import load, generate |
| | |
| | model, tokenizer = load("AlterEgo09/Cocktail-llama") |
| | |
| | prompt = "hello" |
| | |
| | if tokenizer.chat_template is not None: |
| | messages = [{"role": "user", "content": prompt}] |
| | prompt = tokenizer.apply_chat_template( |
| | messages, add_generation_prompt=True |
| | ) |
| | |
| | response = generate(model, tokenizer, prompt=prompt, verbose=True) |
| | ``` |
| |
|