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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 applies reinforcement learning techniques to improve reasoning and support chain-of-thought generation.

Key Features

  • Distilled 14B model for more efficient inference and smaller footprint
  • Built on Qwen2.5-14B architecture
  • Trained using reinforcement learning techniques to enhance reasoning
  • Generates chain-of-thought style explanations
  • Reported state-of-the-art performance benchmarks in the model description
  • Open-source release available on Hugging Face

Ideal Use Cases

  • Research on reasoning and chain-of-thought behaviors
  • Developing AI assistants requiring transparent reasoning traces
  • Benchmarking distilled models against larger architectures
  • Prototyping LLM applications where inference efficiency matters

Getting Started

  • Open the Hugging Face model page
  • Review the model card, files, and license information
  • Download model weights or access via Hugging Face Hub
  • Load the model with a compatible Qwen runtime or HF libraries
  • Run example prompts and evaluate on your tasks

Pricing

Pricing not disclosed; check the Hugging Face model page for license and usage terms.

Key Information

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