Llama3

Llama3 8B - Details

Last update on 2025-05-20

Llama3 8B is a large language model developed by Meta Llama, a company known for advancing open-source AI research. With 8b parameters, it is designed to deliver enhanced performance and efficiency on industry benchmarks. The model is released under the Meta Llama 3 Community License Agreement (META-LLAMA-3-CCLA), allowing for flexible use while maintaining community-driven development. Its architecture emphasizes scalability and practical applications, making it a versatile tool for various natural language processing tasks.

Description of Llama3 8B

Meta Llama 3 is a family of large language models (LLMs) developed by Meta, featuring 8B and 70B parameter variants. It employs an optimized transformer architecture with auto-regressive capabilities, trained on over 15 trillion tokens of publicly available data. The instruction-tuned models are specifically designed for dialogue use cases, offering enhanced safety and helpfulness. It supports text and code generation with a context length of 8k tokens. Released under a custom commercial license, the models emphasize responsible AI development and are optimized for industry benchmarks.

Parameters & Context Length of Llama3 8B

8b 8k

Llama3 8B features 8b parameters, placing it in the mid-scale category of open-source LLMs, offering a balance between performance and resource efficiency for moderate complexity tasks. Its 8k context length allows handling moderate-length texts, making it suitable for extended conversations or documents but less optimized for extremely long sequences. The model’s design emphasizes practicality, enabling efficient deployment while maintaining capabilities for diverse applications.

  • Parameter Size: 8b
  • Context Length: 8k

Possible Intended Uses of Llama3 8B

chatbots commercial applications research projects

Llama3 8B is a versatile large language model with 8b parameters that could enable possible applications in areas like commercial applications, research projects, chatbots, and virtual assistants. Its design suggests it might support tasks requiring dialogue interaction, text generation, or data analysis, though these possible uses would need thorough evaluation to ensure alignment with specific goals. The model’s architecture and training data could also allow possible exploration of new workflows or tools, but further testing would be necessary to confirm effectiveness. As with any LLM, the possible outcomes of its deployment depend heavily on context, implementation, and ethical considerations.

  • commercial applications
  • research projects
  • chatbots and virtual assistants

Possible Applications of Llama3 8B

research tool text generation data analysis chatbot assistant content creation tool

Llama3 8B is a large language model with 8b parameters that could enable possible applications in areas such as commercial applications, research projects, chatbots, and virtual assistants. Its design suggests it might support possible uses in generating text, analyzing data, or enhancing user interactions, though these possible applications would require careful assessment to ensure they meet specific needs. The model’s architecture could also allow possible exploration of new tools for content creation or automation, but further testing would be necessary to confirm suitability. As with any LLM, the possible outcomes of its deployment depend on context, implementation, and ethical considerations.

  • commercial applications
  • research projects
  • chatbots
  • virtual assistants

Quantized Versions & Hardware Requirements of Llama3 8B

16 vram 12 ram 24 ram

Llama3 8B with the q4 quantized version is designed for a medium balance between precision and performance, requiring a GPU with at least 16GB VRAM and a system with 12GB–24GB VRAM for optimal operation. This setup ensures efficient execution while maintaining reasonable accuracy, making it suitable for users with mid-range hardware. However, compatibility depends on the specific GPU and system configuration, so verification is recommended.

  • fp16, q2, q3, q4, q5, q6, q8

Conclusion

Llama3 8B is a large language model with 8b parameters and an 8k context length, developed by Meta, offering a balance between performance and efficiency for diverse applications. It is released under a custom commercial license, emphasizing responsible AI development and suitability for tasks requiring moderate complexity and extended text handling.

References

Huggingface Model Page
Ollama Model Page

Benchmarks

Benchmark Name Score
Instruction Following Evaluation (IFEval) 14.55
Big Bench Hard (BBH) 24.50
Mathematical Reasoning Test (MATH Lvl 5) 4.53
General Purpose Question Answering (GPQA) 7.38
Multimodal Understanding and Reasoning (MUSR) 6.24
Massive Multitask Language Understanding (MMLU-PRO) 24.55
Link: Huggingface - Open LLM Leaderboard
Benchmark Graph
Maintainer
Parameters & Context Length
  • Parameters: 8b
  • Context Length: 8K
Statistics
  • Huggingface Likes: 6K
  • Huggingface Downloads: 5M
Intended Uses
  • Commercial Applications
  • Research Projects
  • Chatbots And Virtual Assistants
Languages
  • English