QwQ-DeepSeek-R1-SkyT1-Flash-Lightest-32B Open Source Model - Integrating Advantages to Enhance Application Performance

Qwq DeepSeek R1 SkyT1 Flash Lightest 32B

Developed by sm54

This is a merged model based on Qwen2.5-32B, incorporating features from DeepSeek-R1-Distill-Qwen-32B, QwQ-32B, and Sky-T1-32B-Flash to enhance performance.

Large Language Model

Transformers

#Multi-model fusion #High-precision language understanding #Large language model

Downloads 14

Release Time : 4/25/2025

Model Overview

By merging multiple pre-trained language models with 32B parameters, this model optimizes text generation and comprehension capabilities, suitable for various natural language processing tasks.

Model Features

Multi-model fusion

Combines the strengths of multiple models including Qwen2.5, DeepSeek-R1, QwQ, and Sky-T1 to improve overall performance.

Efficient inference

Maintains high inference efficiency through optimized merging methods.

Model Capabilities

Text generation

Natural language understanding

Question answering system

Text summarization

Use Cases

Natural language processing

Intelligent Q&A

Used to build intelligent question-answering systems that respond to various user queries.

Text generation

Generates coherent and logical text content, suitable for writing assistance, content creation, and similar scenarios.

🚀 QwQ-DeepSeek-R1-SkyT1-Flash-Lightest-32B

This project creates a merged pre - trained language model using the mergekit tool, combining the strengths of multiple models.

🚀 Quick Start

This is a merge of pre - trained language models created using mergekit.

📚 Documentation

✨ Features

Model Merging: Utilizes the mergekit library to combine multiple pre - trained language models.
SCE Merge Method: Employs the sce merge method for model merging.

📦 Installation

The document does not provide specific installation steps, so this section is skipped.

💻 Usage Examples

The document does not provide code examples, so this section is skipped.

🔧 Technical Details

Merge Details

Merge Method

This model was merged using the sce merge method using [Qwen/Qwen2.5 - 32B](https://huggingface.co/Qwen/Qwen2.5 - 32B) as a base.

Models Merged

The following models were included in the merge:

[deepseek - ai/DeepSeek - R1 - Distill - Qwen - 32B](https://huggingface.co/deepseek - ai/DeepSeek - R1 - Distill - Qwen - 32B)
[Qwen/QwQ - 32B](https://huggingface.co/Qwen/QwQ - 32B)
[NovaSky - AI/Sky - T1 - 32B - Flash](https://huggingface.co/NovaSky - AI/Sky - T1 - 32B - Flash)

Configuration

The following YAML configuration was used to produce this model:

merge_method: sce
base_model: Qwen/Qwen2.5-32B  # Pivot model (zero weight)
dtype: bfloat16
parameters:
  select_topk: 1.0
models:
  # Pivot model (explicitly zero-weighted)
  - model: Qwen/Qwen2.5-32B
    parameters:
      weight: 0.0  # Zero contribution to merged weights
      # sparsity: 0.0  # Optional: enforce sparsity if needed
  # Target models with assigned weights
  - model: Qwen/QwQ-32B
    parameters:
      weight: 0.95  # Dominant contributor
  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
    parameters:
      weight: 0.01  # Minimal contribution
  - model: NovaSky-AI/Sky-T1-32B-Flash
    parameters:
      weight: 0.04  # Minimal contribution

📄 License

The document does not provide license information, so this section is skipped.

📊 Model Information

Property	Details
Base Model	Qwen/Qwen2.5 - 32B, deepseek - ai/DeepSeek - R1 - Distill - Qwen - 32B, Qwen/QwQ - 32B, NovaSky - AI/Sky - T1 - 32B - Flash
Library Name	transformers
Tags	mergekit, merge

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