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DeepSeek-V2-Lite - AI Language Models Tool

Overview

DeepSeek-V2-Lite is a Mixture-of-Experts language model built for economical training and efficient inference. It uses MLA and DeepSeekMoE techniques, has 16B total parameters with 2.4B activated parameters, and is available for text and chat completions on Hugging Face; optimized to run on a 40GB GPU using BF16 precision.

Key Features

  • Mixture-of-Experts (MoE) architecture
  • 16B total parameters, 2.4B activated parameters
  • Multi-head Latent Attention (MLA) technique
  • DeepSeekMoE performance optimizations
  • Optimized for BF16 precision
  • Runs on 40GB GPU for inference
  • Available for text and chat completions on Hugging Face
  • Designed for economical training and efficient inference

Ideal Use Cases

  • Text generation and chat completions
  • Budget-conscious model training and deployment
  • Experimenting with MoE and MLA research
  • Deploying models on 40GB GPU instances

Getting Started

  • Open the model page on Hugging Face
  • Read the README for usage and requirements
  • Pull the model and weights via Hugging Face tools
  • Run inference using BF16 precision on a 40GB GPU
  • Integrate the model into your completion pipeline

Pricing

Not disclosed; check the Hugging Face model page or hosting provider for access and pricing options.

Limitations

  • Requires a 40GB GPU and BF16 precision for optimized inference
  • Pricing and tags are not provided in the model metadata

Key Information

  • Category: Language Models
  • Type: AI Language Models Tool
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