Llama 3.3 70B Instruct
Llama 3.3 70B Instruct is a 70B-parameter open-weight large language model from Meta, optimized for instruction following, complex reasoning, and multi-turn conversations. It is well suited for enterprise use cases such as advanced chat assistants, code reasoning, and long-document analysis with large context windows.
api_example.sh
Technical Specifications
Model Architecture & Performance
Pricing
Pay-per-use, no commitments
API Reference
Complete parameter documentation
| Parameter | Type | Default | Description |
|---|---|---|---|
| stream | boolean | true | Enable streaming responses for real-time output. |
| temperature | number | 0.7 | Controls randomness. Higher values mean more creative but less predictable output. |
| max_tokens | number | 4096 | Maximum number of tokens to generate in the response |
| top_p | number | 0.9 | Nucleus sampling: considers tokens with top_p probability mass. |
Explore the full request and response schema in our external API documentation
Performance
Strengths & considerations
| Strengths | Considerations |
|---|---|
| High-quality reasoning and instruction adherence Strong performance on code and analytical tasks Large context window for long-document processing Open-weight model suitable for private and on-prem deployments Production-ready for enterprise workloads | Smaller context window compared to largest models Can struggle with highly complex, multi-step reasoning |
Use cases
Recommended applications for this model
Enterprise
Platform Integration
Docker Support
Official Docker images for containerized deployments
Kubernetes Ready
Production-grade KBS manifests and Helm charts
SDK Libraries
Official SDKs for Python, Javascript, Go, and Java
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