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Deepseek R1 Distill Qwen 32B Lora R32
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Deepseek R1 Distill Qwen 32B Lora R32

Developed by Naozumi0512
This is a LoRA adapter extracted from DeepSeek-R1-Distill-Qwen-32B, based on the Qwen2.5-32B base model, suitable for parameter-efficient fine-tuning.
Large Language Model
Transformers
#LoRA adapter#Parameter-efficient fine-tuning#Model distillation
Downloads 109
Release Time : 2/3/2025

Model Overview

This LoRA adapter is extracted from the DeepSeek-R1-Distill-Qwen-32B model, designed for parameter-efficient fine-tuning on the Qwen2.5-32B base model, applicable to various natural language processing tasks.

Model Features

Parameter-efficient fine-tuning
Achieves parameter-efficient fine-tuning using LoRA adapters, reducing computational resource requirements
Based on a powerful base model
Built upon the Qwen2.5-32B large language model, with strong language understanding and generation capabilities
Distilled model adaptation
The adapter is extracted from a distilled model, potentially retaining the advantageous features of the distilled model

Model Capabilities

Text generation
Language understanding
Parameter-efficient fine-tuning

Use Cases

Natural Language Processing
Text generation tasks
Can be used for various text generation applications
Dialogue systems
Can be used to build intelligent dialogue systems
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