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Code Llama is a fine-tune of LLaMa 2 with code specific datasets. 7B, 13B, and 34B versions were released on August 24, 2023, with the 70B releasing on the January 29, 2024. [29] Starting with the foundation models from LLaMa 2, Meta AI would train an additional 500B tokens of code datasets, before an additional 20B token of long-context data ...
This model offers the performance of Meta's largest Llama model, Llama 3.1 405B, but at a reduced cost. Last year in April, Meta announced its plan to purchase 350,000 Nvidia H100 GPUs by 2024 to ...
Llama 3.1 July 2024: Meta AI 405 15.6T tokens 440,000: Llama 3 license 405B version took 31 million hours on H100-80GB, at 3.8E25 FLOPs. [97] [98] DeepSeek V3 December 2024: DeepSeek: 671 14.8T tokens 56,000: DeepSeek License 2.788M hours on H800 GPUs. [99] Amazon Nova December 2024: Amazon: Unknown Unknown Unknown Proprietary
Groq emerged as the first API provider to break the 100 tokens per second generation rate while running Meta’s Llama2-70B parameter model. [25] Groq currently hosts a variety of open-source large language models running on its LPUs for public access. [26] Access to these demos are available through Groq's website.
The new Llama 3 model can converse in eight languages, write higher-quality computer code and solve more complex math problems than previous versions, the Facebook parent company said in blog ...
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Codestral is Mistral's first code focused open weight model. Codestral was launched on 29 May 2024. It is a lightweight model specifically built for code generation tasks. As of its release date, this model surpasses Meta's Llama3 70B and DeepSeek Coder 33B (78.2% - 91.6%), another code-focused model on the HumanEval FIM benchmark. [40]
llama.cpp began development in March 2023 by Georgi Gerganov as an implementation of the Llama inference code in pure C/C++ with no dependencies. This improved performance on computers without GPU or other dedicated hardware, which was a goal of the project.