Activefastllm Open Source

Llama 3.1 8B

by Meta· Released July 2024· Cutoff December 2023

Llama 3.1 8B is a compact, efficient large language model from Meta, part of the Llama 3.1 family. It offers strong performance for its size, with a 128K token context window and multilingual support. It is designed for a wide range of text-based tasks, balancing quality and computational efficiency.

Official Site API Docs 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

128K tokens

Max output

—

Modalities

text

Parameters

License

Llama 3.1 Community License

Capabilities

Text GenerationCode GenerationFunction CallingMultilingualInstruction FollowingSummarizationQuestion Answering

Best For

Efficient, high-quality text generation and code tasks with a large context window, ideal for resource-constrained environments.

Strengths

Strong performance for its size, competitive with larger models
128K token context window enables long-document processing
Multilingual support across 8 languages
Open source with permissive license
Efficient inference suitable for local deployment

Limitations

Smaller parameter count limits complex reasoning compared to larger models
No native vision or multimodal capabilities
May require fine-tuning for specialized domains
Knowledge cutoff may not include latest events

Use Cases

Chatbots and virtual assistants

Code generation and assistance

Document summarization and analysis

Content creation and drafting

Educational tutoring and Q&A

Data extraction and parsing

Language translation and localization

Improvements Over Previous Model

Context window increased from 8K to 128K tokens compared to Llama 3 8B
Multilingual support added for 8 languages
Improved reasoning and coding benchmarks
Enhanced instruction following and safety
New function calling capability
Reduced inference latency through optimizations

Back to all models

Activefastllm Open Source

Llama 3.1 8B

by Meta· Released July 2024· Cutoff December 2023

Official Site API Docs 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

128K tokens

Max output

—

Modalities

text

Parameters

License

Llama 3.1 Community License

Capabilities

Text GenerationCode GenerationFunction CallingMultilingualInstruction FollowingSummarizationQuestion Answering

Best For

Efficient, high-quality text generation and code tasks with a large context window, ideal for resource-constrained environments.

Strengths

Strong performance for its size, competitive with larger models
128K token context window enables long-document processing
Multilingual support across 8 languages
Open source with permissive license
Efficient inference suitable for local deployment

Limitations

Smaller parameter count limits complex reasoning compared to larger models
No native vision or multimodal capabilities
May require fine-tuning for specialized domains
Knowledge cutoff may not include latest events

Use Cases

Chatbots and virtual assistants

Code generation and assistance

Document summarization and analysis

Content creation and drafting

Educational tutoring and Q&A

Data extraction and parsing

Language translation and localization

Improvements Over Previous Model

Context window increased from 8K to 128K tokens compared to Llama 3 8B
Multilingual support added for 8 languages
Improved reasoning and coding benchmarks
Enhanced instruction following and safety
New function calling capability
Reduced inference latency through optimizations

Back to all models