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DeepSeek-R1-Distill-Qwen-14B - AI Language Models Tool

Overview

DeepSeek-R1-Distill-Qwen-14B is an open-source, distilled large language model derived from DeepSeek-R1 and built on Qwen2.5-14B. It uses reinforcement learning techniques to deliver enhanced reasoning and chain-of-thought generation, and is presented for research and applied evaluation.

Key Features

  • Distilled variant of DeepSeek-R1 for a lower resource footprint
  • Built on the Qwen2.5-14B architecture
  • Reinforcement learning fine-tuning to improve reasoning
  • Designed to support chain-of-thought generation
  • Open-source model hosted on Hugging Face

Ideal Use Cases

  • Research on multi-step reasoning and explanation generation
  • Developing chain-of-thought or stepwise reasoning assistants
  • Benchmarking LLM performance and comparisons
  • On-premise or self-hosted deployments requiring open-source models

Getting Started

  • Open the Hugging Face model page for DeepSeek-R1-Distill-Qwen-14B
  • Review the model card, usage instructions, and licensing information on the page
  • Download model files or pull via your preferred package or API
  • Load the model into your inference framework and run small tests
  • Evaluate outputs and tune prompts, decoding, or temperature settings

Pricing

Not disclosed by the publisher; check the Hugging Face model page for licensing or usage details.

Limitations

  • Distilled models may have reduced capacity compared to full-sized DeepSeek-R1
  • Running a Qwen2.5-14B variant requires substantial compute and memory
  • Pricing and commercial terms are not disclosed by the publisher

Key Information

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