DeepSeek‑V3 - AI Language Models Tool
Overview
DeepSeek-V3 is an open-weight large language model offering BF16 and FP8 inference precision. It is designed for deployment with common inference runtimes and GPU hardware. Compatible runtimes include SGLang, vLLM, and LMDeploy, and the model runs on both NVIDIA and AMD GPUs for local or on-prem inference.
Key Features
- Open-weight model suitable for self-hosting and research
- Supports BF16 and FP8 low-precision inference
- Compatible with SGLang runtime
- Supported by vLLM serving stack
- Works with LMDeploy deployment tooling
- Runs on NVIDIA GPUs
- Runs on AMD GPUs
- Designed for integration into GPU-based inference pipelines
Ideal Use Cases
- Self-hosted LLM research and experimentation
- Deploying private inference on in-house GPU infrastructure
- Evaluating BF16 and FP8 inference tradeoffs
- Integrating model into SGLang, vLLM, or LMDeploy workflows
- Prototype or production GPU-based language services
Getting Started
- Download model weights from the DeepSeek-V3 Hugging Face repository
- Install a compatible runtime: SGLang, vLLM, or LMDeploy
- Prepare GPU drivers and any required backend software
- Configure inference precision to BF16 or FP8 in your runtime
- Run the repository's example inference script to validate setup
Pricing
No pricing information disclosed. DeepSeek-V3 is listed as an open-weight model; deployment and infrastructure costs are the user's responsibility.
Limitations
- Requires GPU hardware for practical inference
- No published commercial pricing or hosted API disclosed
- Integration requires familiarity with SGLang, vLLM, or LMDeploy
Key Information
- Category: Language Models
- Type: AI Language Models Tool