DeepSeek R1 Distill LLaMA 70B
DeepSeek R1 Distill LLaMA 70B is optimized for efficient, high-level reasoning and conversational intelligence. It delivers near frontier-level analytical performance while running on significantly smaller hardware.
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 | 0.3 | Controls creativity and randomness. Higher values produce more diverse output. |
| max_tokens | number | 10000 | Defines the maximum number of tokens the model is allowed to generate. |
| top_p | number | 1 | Nucleus sampling: limits the token selection to a subset of top probability mass. |
| reasoning_effort | select | medium | Adjusts the depth of reasoning and problem-solving effort. Higher settings yield more thorough responses at the cost of latency. |
| reasoning_summary | select | auto | Controls the verbosity of reasoning explanations. |
Explore the full request and response schema in our external API documentation
Performance
Strengths & considerations
| Strengths | Considerations |
|---|---|
Excellent reasoning and chain-of-thought capability Lower GPU memory requirement compared to the full model Strong performance across technical and multilingual tasks Open-source and suitable for on-prem deployment | Slightly slower than smaller distilled models Reasoning quality may vary in very complex tasks |
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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