Llama-3.1-70B-Instruct
model_name: Llama-3.1-70B-Instruct
model_description: 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.
date_published: 2024-07-23
open_weights: True
open_dataset: False
nr_of_parameters: 70000000000
github:
https://github.com/meta-llama/llama3
paper: https://arxiv.org/abs/2407.21783
api_endpoint: True
nr_of_tokens: 15000000000000
architecture: DecoderOnly
mixture_of_experts: False
model_alignment: DPO
reinforcement_learning_from_human_feedback: True
domain_specific_pretraining: False
domain_specific_finetuning: False
tool_use: False
tool_type: None
temperature: 0.0
epochs: None
Topic wise score
Topic | Score |
---|---|
Inorganic Chemistry | 0.772 |
General Chemistry | 0.691 |
Materials Science | 0.667 |
Organic Chemistry | 0.663 |
Technical Chemistry | 0.65 |
Physical Chemistry | 0.642 |
Chemical Preference | 0.519 |
Analytical Chemistry | 0.408 |
Toxicity and Safety | 0.384 |