Instructions to use mlx-community/CodeLlama-7b-Python-hf-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/CodeLlama-7b-Python-hf-4bit 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("mlx-community/CodeLlama-7b-Python-hf-4bit") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- MLX LM
How to use mlx-community/CodeLlama-7b-Python-hf-4bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "mlx-community/CodeLlama-7b-Python-hf-4bit" --prompt "Once upon a time"
File size: 1,837 Bytes
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"add_bos_token": true,
"add_eos_token": false,
"added_tokens_decoder": {
"0": {
"content": "<unk>",
"lstrip": false,
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"single_word": false,
"special": true
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"2": {
"content": "</s>",
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"32000": {
"content": "β<PRE>",
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"single_word": false,
"special": true
},
"32001": {
"content": "β<MID>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"32002": {
"content": "β<SUF>",
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"content": "β<EOT>",
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"rstrip": false,
"single_word": false,
"special": true
}
},
"additional_special_tokens": [
"β<PRE>",
"β<MID>",
"β<SUF>",
"β<EOT>"
],
"bos_token": "<s>",
"clean_up_tokenization_spaces": false,
"eos_token": "</s>",
"eot_token": "β<EOT>",
"fill_token": "<FILL_ME>",
"legacy": null,
"middle_token": "β<MID>",
"model_max_length": 1000000000000000019884624838656,
"pad_token": null,
"prefix_token": "β<PRE>",
"sp_model_kwargs": {},
"suffix_token": "β<SUF>",
"tokenizer_class": "CodeLlamaTokenizer",
"unk_token": "<unk>",
"use_default_system_prompt": false
}
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