mistralai/Mistral-7B-Instruct-v0.3

#1
by Andreyn - opened
Owner

๐Ÿ˜ƒ: How to load a llama model?
๐Ÿค–: To load a Llama model after converting its weights to the Hugging Face Transformers format, follow these steps:

  1. First, ensure you have installed the Hugging Face Transformers library. You can install it using pip:

    pip install transformers
    
  2. Run the convert_llama_weights_to_hf.py script provided by Hugging Face to convert the downloaded LLama weights into their respective formats. Here is an example command:

    python src/transformers/models/llama/convert_llama_weights_to_hf.py \
        --input_dir /path/to/downloaded/llama/weights --model_size 7B --output_dir /output/path
    
  3. After successful conversion, use Python to load the model and tokenizer as follows:

    python
    from transformers import LlamaForCausalLM, LlamaTokenizer
    
    # Load the tokenizer
    tokenizer = LlamaTokenizer.from_pretrained("/output/path")
    
    # Load the
    

๐Ÿ˜ƒ: how to load llama3 model?
๐Ÿค–: To load a LLama3 model after converting its weights to the Hugging Face Transformers format, follow these steps:

  1. First, convert the downloaded LLama3 weights into the Hugging Face Transformers format using the provided conversion script:
python src/transformers/models/llama/convert_llama_weights_to_hf.py \
--input_dir /path/to/downloaded/llama/weights --model_size 3B --output_dir /output/path --llama_version 3

Replace /path/to/downloaded/llama/weights with your actual path where the LLama3 weights are stored. Also, adjust the output directory as desired.

  1. After successful conversion, load the model and tokenizer in Python:
from transformers import LlamaForCausalLM, LlamaTokenizer

# Load the tokenizer
tokenizer = LlamaTokenizer.from_pretrained("/output/path")

# Load the model
model = LlamaForCausalLM.from_pretrained("/
๐Ÿ˜ƒ: how to convert llama weights to transformers format?
๐Ÿค–: To convert LLAMA weights to the Hugging Face Transformers format, follow these steps:

1. Download the LLAMA weights from their official source by filling out the provided form.
2. Navigate to the directory where you have saved the downloaded weights.
3. Run the conversion script provided by Hugging Face with the appropriate arguments:

```bash
python src/transformers/models/llama/convert_llama_weights_to_hf.py \
--input_dir /path/to/downloaded/llama/weights --model_size <desired_model_size> --output_dir /output/path

Replace <desired_model_size> with the size of the LLAMA model you want to convert (e.g., "7B").

  1. After the conversion process is complete, you will find your converted model and tokenizer files inside the specified output path.

  2. Load the converted model and tokenizer into Python using the following code snippet:

from transformers import LlamaForCausalLM, LlamaTokenizer
# or use Auto

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