LLaMA

Meta first released LLaMA in February 2023. Unlike language models from Open AI/Microsoft and Google, which are conversational chatbots, LLaMA is not a system users can talk to; it is a tool to help researchers working in the field. Meta is releasing LLaMA under a noncommercial license focused on research use cases, with access granted to groups like universities, NGOs, and industry labs. Like other large language models, LLaMA takes a sequence of words as an input to predict the next word, recursively generating text. LLaMA was trained using text from twenty languages, focusing on those with Latin and Cyrillic alphabets. In the announcement of LLaMA, Meta stated:

modelsModels such as LLaMA enable others in the research community who don’t have access to large amounts of infrastructure to study these models, further democratizing access in this important, fast-changing field.

On July 18, 2023, Meta and Microsoft introduced the Llama 2 family of models, a group of open-source LLMs free to use for research and commercial use. Llama 2 represents an expansion of the partnership between Microsoft and Meta, with availability through the Azure AI model catalog and optimization for running running locally on Windows. Llama 2 is also available via AWSAWS, Hugging FaceHugging Face, and other providers. Meta opened access to Llama 2 with the support of a broad set of companies and researchers across tech, academia, and policy who believe in open innovation of AI technologies.

The release includes model weights and starting code for pre-trained and fine-tuned Llama models -models— ranging from 7B to 70B parameters. Llama 2 was trained on 40% percent more data compared to Llama 2. Llama 2 was pre-trained on publicly available online data, totaling over 2 trillion tokens. The fine-tuned version of the model (for dialogue use), Llama-2-chat, uses reinforcement learning from human feedback (RLHF), leveraging publicly available instruction datasets and over 1 million human annotations.

As part of the Llama 2 release, each model comes with the following:

LLaMA (Large Language Model Meta AI) is a foundational large language model (LLM) released by Meta AI. LLaMa is designed to help researchers advance the field of AI, through access to smaller more performant models without the need for large amounts of infrastructure and computing power.

InMeta first released LLaMA in February 2023, Meta announced a 65-billion-parameter large language model called Large Language Model Meta AI (LLaMA), designed to help researchers advance their AI work. Unlike language models from Open AI/Microsoft and Google thatwhich are conversational chatbots, LLaMA is not a system users can talk to; it is a research tool to help researchers working in the field. Meta is releasing LLaMA under a noncommercial license focused on research use cases, with access granted to groups like universities, NGOs, and industry labs. Like other large language models, LLaMA takes a sequence of words as an input to predict the next word, recursively generating text. LLaMA was trained using text from twenty languages focusing on those with Latin and Cyrillic alphabets. In the announcement of LLaMA, Meta stated:

A week after the first announcement of LLaMA on March 3, 2023, the model was leaked. A downloadable torrent of the system was posted on 4chan before spreading to other online AI communities. On March 6, 2023, Meta announced it would continue to release its AI tools to approved researchers despite the leak to unauthorized users. In a statement, the company said:

On July 18, 2023, Meta and Microsoft introduced the Llama 2 family of models, a group of open-source LLMs free to use for research and commercial use. Llama 2 represents an expansion of the partnership between Microsoft and Meta, with availability through the Azure AI model catalog and optimization for running running locally on Windows. Llama 2 is also available via AWS, Hugging Face, and other providers. Meta opened access to Llama 2 with the support of a broad set of companies and researchers across tech, academia, and policy who believe in open innovation of AI technologies.

The release includes model weights and starting code for pre-trained and fine-tuned Llama models - ranging from 7B to 70B parameters. Llama 2 was trained on 40% more data compared to Llama 2. Llama 2 was pre-trained on publicly available online data, totaling over 2 trillion tokens. The fine-tuned version of the model (for dialogue use), Llama-2-chat, uses reinforcement learning from human feedback (RLHF) leveraging publicly available instruction datasets and over 1 million human annotations.

As part of the Llama 2 release, each model comes with:

• Model code
• Model weights
• User guide
• Responsible use guide
• License
• Acceptable use policy
• Model card

Llama 2 models have a context window of 4,096 tokens. While Llama 2 does not reach the same performance as GPT-4, Meta research shows it performs well against other open-source models. Use cases for Llama 2 focus on commercial and research in English. Tuned models are intended for assistant-like chatbots, while pre-trained models can be adapted for a wide range of natural language tasks.

In February 2023, Meta announced a 65-billion-parameter large language model called Large Language Model Meta AI (LLaMA), designed to help researchers advance their AI work. Unlike language models from Open AI/Microsoft and Google that are conversational chatbots, LLaMA is not a system users can talk to; it is a research tool to help researchers working in the field. Meta is releasing LLaMA under a noncommercial license focused on research use cases, with access granted to groups like universities, NGOs, and industry labs. Like other large language models, LLaMA takes a sequence of words as an input to predict the next word, recursively generating text. LLaMA was trained using text from twenty languages focusing on those with Latin and Cyrillic alphabets. In the announcement of LLaMA, Meta stated:

models such as LLaMA enable others in the research community who don’t have access to large amounts of infrastructure to study these models, further democratizing access in this important, fast-changing field.

As the size of the model impacts the computing power and resources required to test new approaches, Meta is making LLaMA available in several sizes:

• 7 billion
• 13 billion
• 33 billion
• 65 billion

The release came alongside a paper with more details on the model titled "LLaMA: Open and Efficient Foundation Language Models." In the paper, Meta claims the 13 billion parameter model (LLaMA-13B) performs better than OpenAI’s popular GPT-3 model on most benchmarks, while the largest model, LLaMA-65B, is “competitive with the best models,” such as DeepMind’s Chinchilla70B and Google’s PaLM 540B.

A week after the announcement of LLaMA on March 3, 2023, the model was leaked. A downloadable torrent of the system was posted on 4chan before spreading to other online AI communities. On March 6, 2023, Meta announced it would continue to release its AI tools to approved researchers despite the leak to unauthorized users. In a statement, the company said:

While the model is not accessible to all, and some have tried to circumvent the approval process, we believe the current release strategy allows us to balance responsibility and openness,

LLaMA(Large Language Model Meta AI) is alarge language model(LLM) released byMeta AIin February 2023. A variety of model sizes were trained ranging from 7 billion to 65 billion parameters. LLaMA's developers reported that the 13 billion parameter model's performance on mostNLPbenchmarks exceeded that of the much largerGPT-3(with 175 billion parameters) and that the largest model was competitive with state of the art models such as PaLM andChinchilla.Whereas the most powerful LLMs have generally been accessible only through limitedAPIs(if at all), Meta released LLaMA's model weights to the research community under a noncommercial license.Within a week of LLaMA's release, its weights wereleakedto the public on 4chan viaBitTorrent.

LLaMA(Large Language Model Meta AI) is alarge language model(LLM) released byMeta AIin February 2023. A variety of model sizes were trained ranging from 7 billion to 65 billion parameters. LLaMA's developers reported that the 13 billion parameter model's performance on mostNLPbenchmarks exceeded that of the much largerGPT-3(with 175 billion parameters) and that the largest model was competitive with state of the art models such as PaLM andChinchilla.Whereas the most powerful LLMs have generally been accessible only through limitedAPIs(if at all), Meta released LLaMA's model weights to the research community under a noncommercial license.Within a week of LLaMA's release, its weights wereleakedto the public on 4chan viaBitTorrent.