Meta
LLaMA 3 8B
Language Model · Release Jul 1, 2023 · Open Source
LLaMA 3 8B is a compact model with 8 billion parameters, designed for efficient text generation and understanding with a context window of 8k tokens.
Key insights
Concrete technical or product signals.
- Efficient model size for resource-constrained environments.
- Good balance of performance and resource use.
Use cases
Where this shines in production.
- Educational tools
- Lightweight conversational agents
- Basic content generation
Limitations & trade-offs
What to watch for.
- Less effective than larger models on complex tasks
- Limited context handling for long documents
Modalities
What goes in and what comes out.
Inputs
text
Outputs
text
Capabilities
Text generation, Summarization, Simple dialogue systems, Basic data extraction
Benchmarks snapshot
Structured JSON for reproducible comparisons.
{
"performance": "Competitive with larger models on standard NLP tasks"
}Related on GenAIWiki
Same provider, tooling that cites the model, or prompts tuned for it.
Meta
LLaMA 3 70B
LLaMA 3 70B features 70 billion parameters and a context window of 32k tokens, optimized for high-performance text generation and understanding across diverse tasks.
Meta
Llama 3.1 405B Instruct
Large open-weights instruct model competitive on reasoning and coding benchmarks with permissive licensing for customization.