meta-llama/Llama-3.2-1B Quantized
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meta-llama/Llama-3.2-1B (Quantized)
Description
This model is a quantized version of the original model meta-llama/Llama-3.2-1B. It was quantized using Bitsandbytes.
Quantization Details
- Quantization Parameters:
BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_quant_type="fp4", bnb_4bit_compute_dtype= "bfloat16")
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-3.2-1B-BNB-FP4-BF16, torch andbitsandbytes need to be installed as:
pip install torch bitsandbytes --upgrade
Then, preferably the latest version of transformers need to be installed, as:
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.
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("Llama-3.2-1B-BNB-FP4-BF16")
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Model tree for HF-Quantization/Llama-3.2-1B-BNB-FP4-BF16
Base model
meta-llama/Llama-3.2-1B