Reasoning SCE Coder V1.0
A 32B-parameter large language model constructed based on the SCE fusion method, integrating multiple high-performance pre-trained models
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Release Time : 3/8/2025
Model Overview
This is a large language model that merges multiple 32B-parameter models using the mergekit tool, employing the adaptive weighting algorithm proposed in the SCE paper, specifically optimized for generation quality and inference efficiency
Model Features
Multi-model fusion
Uses the SCE adaptive weighting algorithm to fuse multiple high-performance 32B models, balancing the strengths of each model
Efficient inference
Optimized with Flash Attention mechanism to improve long-text processing efficiency
Code generation capability
Incorporates specialized code-generation models to enhance performance in programming-related tasks
Model Capabilities
Text generation
Code generation and completion
Q&A systems
Text summarization
Multi-turn dialogue
Instruction following
Use Cases
Development assistance
Code auto-completion
Helps developers quickly generate code snippets
Improves programming efficiency and reduces repetitive work
Document generation
Automatically generates technical documentation from code
Ensures documentation stays synchronized with code
Content creation
Article writing
Assists creators in generating article drafts
Provides creative inspiration and content frameworks
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