Andreyn/rag_demo · mistralai/Mistral-7B-v0.3

😃: how to load llama model?
🤖: To load a LLAMA model after converting its weights to the Hugging Face Transformers format, follow these steps:

Install the Hugging Face Transformers library if not already installed. You can do this using pip: pip install transformers.
Run the conversion script on your downloaded LLAMA weights:

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

Replace /path/to/downloaded/llama/weights with the actual path where you have saved the downloaded LLAMA weights. Replace /output/path with the desired output directory.

After successful conversion, you can load the model and tokenizer as follows:

import torch
from transformers import LlamaForCausalLM, LlamaTokenizer

# Load the tokenizer
tokenizer = LlamaTokenizer.from_pretrained("/output
😃: how to load llama3 model?
🤖: 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:

```bash
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.

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("/
😃: how to convert llama weights to transformers format?
🤖: 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").

After the conversion process is complete, you will find your converted model and tokenizer files inside the specified output path.
Load the converted model and tokenizer into Python using the following code snippet:

from transformers import LlamaForCausalLM, LlamaTokenizer
# or use Auto