2024 The Hugging-quants/Meta-Llama-3.1-405B-BNB-NF4
Model Information
The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out). The Llama 3.1 instruction tuned text only models (8B, 70B, 405B) are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.
This repository contains meta-llama/Meta-Llama-3.1-405B quantized using bitsandbytes from BF16 down to NF4 with a block size of 64.
🤗 transformers
In order to run the inference with Llama 3.1 405B BNB in NF4, both torch and bitsandbytes need to be installed as:
pip install "torch>=2.0.0" bitsandbytes --upgrade
Then, the latest version of transformers need to be installed, being 4.43.0 or higher, as:
pip install "transformers[accelerate]>=4.43.0" --upgrade
To run the inference on top of Llama 3.1 405B BNB in NF4 precision, the model can be instantiated as any other causal language modeling model via AutoModelForCausalLM and run the inference normally.https://huggingface.co/hugging-quants/Meta-Llama-3.1-405B-BNB-NF4
Model Information
The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out). The Llama 3.1 instruction tuned text only models (8B, 70B, 405B) are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.
This repository contains meta-llama/Meta-Llama-3.1-405B quantized using bitsandbytes from BF16 down to NF4 with a block size of 64.
🤗 transformers
In order to run the inference with Llama 3.1 405B BNB in NF4, both torch and bitsandbytes need to be installed as:
pip install "torch>=2.0.0" bitsandbytes --upgrade
Then, the latest version of transformers need to be installed, being 4.43.0 or higher, as:
pip install "transformers[accelerate]>=4.43.0" --upgrade
To run the inference on top of Llama 3.1 405B BNB in NF4 precision, the model can be instantiated as any other causal language modeling model via AutoModelForCausalLM and run the inference normally.https://huggingface.co/hugging-quants/Meta-Llama-3.1-405B-BNB-NF4
huggingface.co
hugging-quants/Meta-Llama-3.1-405B-BNB-NF4 · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.