Activelegacyllm Open Source

Llama 2 7B

by Meta· Released July 2023· Cutoff January 2023

Llama 2 7B is a foundational open-source large language model from Meta, part of the Llama 2 family. It is a 7 billion parameter model optimized for dialogue and text generation, available for both research and commercial use. As the smallest variant in the Llama 2 series, it offers efficient performance for a wide range of natural language tasks.

Official Site 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

4096 tokens

Max output

—

Modalities

text

Parameters

License

Llama 2 Community License

Capabilities

Text GenerationDialogueCode GenerationSummarizationQuestion Answering

Best For

Efficient text generation and dialogue applications with moderate computational resources.

Strengths

Open source and free for both research and commercial use
Strong performance for its size, especially in dialogue tasks
Efficient inference with lower computational requirements compared to larger models

Limitations

Smaller context window (4096 tokens) compared to newer models
Limited to text-only input and output
May not match the performance of larger models on complex reasoning tasks

Use Cases

Chatbots and virtual assistants

Text summarization

Code generation and assistance

Content creation and drafting

Educational tutoring

Customer support automation

Research in NLP

Improvements Over Previous Model

Introduced as a successor to Llama 1, with improvements in training data size (40% more tokens) and context length (4096 vs 2048 tokens)
Optimized for dialogue with fine-tuning on human feedback (RLHF)
Available for commercial use under a permissive license, unlike Llama 1
Demonstrated better performance on benchmarks like MMLU and HumanEval compared to Llama 1 of similar size

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Activelegacyllm Open Source

Llama 2 7B

by Meta· Released July 2023· Cutoff January 2023

Official Site 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

4096 tokens

Max output

—

Modalities

text

Parameters

License

Llama 2 Community License

Capabilities

Text GenerationDialogueCode GenerationSummarizationQuestion Answering

Best For

Efficient text generation and dialogue applications with moderate computational resources.

Strengths

Open source and free for both research and commercial use
Strong performance for its size, especially in dialogue tasks
Efficient inference with lower computational requirements compared to larger models

Limitations

Smaller context window (4096 tokens) compared to newer models
Limited to text-only input and output
May not match the performance of larger models on complex reasoning tasks

Use Cases

Chatbots and virtual assistants

Text summarization

Code generation and assistance

Content creation and drafting

Educational tutoring

Customer support automation

Research in NLP

Improvements Over Previous Model

Introduced as a successor to Llama 1, with improvements in training data size (40% more tokens) and context length (4096 vs 2048 tokens)
Optimized for dialogue with fine-tuning on human feedback (RLHF)
Available for commercial use under a permissive license, unlike Llama 1
Demonstrated better performance on benchmarks like MMLU and HumanEval compared to Llama 1 of similar size

Back to all models