DeepSeek R1 Distill Llama 70B

DeepSeek R1 Distill Llama 70B API

Released January 202564k Tokens context70B params parameters

Documentation

DeepSeek R1 Distill Llama 70B API enables Advanced reasoning and problem solving, Conversational AI, Technical and coding assistance, Long-form text generation, Math and logic tasks, and Research and analysis. 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. Standout strengths include Excellent reasoning and chain-of-thought capability and Lower GPU memory requirement compared to the full model. It is optimized for production agent and assistant workloads where response quality, latency, and predictable operating cost all matter.

from openai import OpenAI # Initialize the OpenAI client with Qubrid base URL client = OpenAI( base_url="https://platform.qubrid.com/v1", api_key="QUBRID_API_KEY", ) stream = client.chat.completions.create( model="deepseek-ai/deepseek-r1-distill-llama-70b", messages=[ { "role": "user", "content": "Explain quantum computing in simple terms" } ], max_tokens=10000, temperature=0.3, top_p=1, stream=True ) for chunk in stream: if chunk.choices and chunk.choices[0].delta.content: print(chunk.choices[0].delta.content, end="", flush=True) print("\n")

Serverless

API access

INPUT$1.20 /1M
OUTPUT$1.80 /1M
Deploy using API

Dedicated

Cloud GPU VM

Price starts at$1.25 / GPU/ hr
Deploy with GPU VM

Interactive

Playground

INPUT$1.20 /1M
OUTPUT$1.80 /1M
Chat in Playground

Enterprise
Platform Integration

Docker

Docker Support

Official Docker images for containerized deployments

Kubernetes

Kubernetes Ready

Production-grade KBS manifests and Helm charts

SDK

SDK Libraries

Official SDKs for Python, Javascript, Go, and Java

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