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DeepSeek-V2-Lite - AI Language Models Tool

Overview

DeepSeek-V2-Lite is a Mixture-of-Experts language model designed for economical training and efficient inference. It has 16B total parameters with 2.4B activated parameters and uses Multi-head Latent Attention (MLA) and DeepSeekMoE. Available via Hugging Face for text and chat completions, the model is optimized to run on a 40GB GPU using BF16 precision.

Key Features

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

Ideal Use Cases

  • Text and chat completion tasks
  • Research into Mixture-of-Experts architectures
  • Cost-conscious prototype development with large models
  • Deployments constrained to single 40GB GPU environments
  • Benchmarking inference efficiency and memory trade-offs

Getting Started

  • Visit the Hugging Face model page for DeepSeek-V2-Lite.
  • Read the model card for usage, examples, and licensing.
  • Provision a 40GB GPU and enable BF16 precision.
  • Run provided example scripts for text or chat completions.
  • Monitor GPU memory and adjust batch sizes as needed.

Pricing

Not disclosed in the provided metadata. Check the Hugging Face model page or contact the repository maintainer for pricing and licensing.

Limitations

  • Requires a 40GB GPU and BF16 precision for optimized performance.
  • Provided metadata lacks tags and pricing details.

Key Information

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