| base_model: | |
| - meta-llama/Llama-3.3-70B-Instruct | |
| # meta-llama/Llama-3.3-70B-Instruct (Quantized) | |
| ## Description | |
| This model is a quantized version of the original model `meta-llama/Llama-3.3-70B-Instruct`. It was quantized using TorchAo. | |
| ## Quantization Details | |
| - **Quantization Parameters**: `TorchAoConfig("int4_weight_only", group_size=128)` | |
| ## Usage | |
| You can use this model in your applications by loading it directly from the Hugging Face Hub. | |
| In order to run the inference with `Llama-3.3-70B-Instruct-TORCHAO-W4`, `torch` and`torchao` need to be installed as: | |
| ```python | |
| pip install torch torchao --upgrade | |
| ``` | |
| Then, preferably the latest version of transformers need to be installed, as: | |
| ```python | |
| pip install transformers[accelerate] --upgrade | |
| ``` | |
| To run the inference the model can be instantiated as any other causal language modeling model via AutoModelForCausalLM and run the inference normally. | |
| ```python | |
| from transformers import AutoModelForCausalLM | |
| model = AutoModelForCausalLM.from_pretrained("Llama-3.3-70B-Instruct-TORCHAO-W4") |