Qwen2.5 7B NotesCorrector by Lekhansh

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  Adapter Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-7b-ins...   Finetuned   Generated from trainer   Instruct   Lora   Peft   Region:us   Safetensors   Sft   Trl

Qwen2.5 7b NotesCorrector Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 7B NotesCorrector (Lekhansh/Qwen2.5_7b_notesCorrector)

Qwen2.5 7B NotesCorrector Parameters and Internals

LLM NameQwen2.5 7b NotesCorrector
Repository ๐Ÿค—https://huggingface.co/Lekhansh/Qwen2.5_7b_notesCorrector 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM0.6 GB
Updated2025-03-25
MaintainerLekhansh
Instruction-BasedYes
Model Files  0.6 GB   0.0 GB
Model ArchitectureAdapter
Licenseapache-2.0
Model Max Length131072
Is Biasednone
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|up_proj|down_proj|q_proj|v_proj|gate_proj|k_proj
LoRA Alpha128
LoRA Dropout0
R Param64
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Lekhansh/Qwen2.5_7b_notesCorrector.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227