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Qwen2.5 7B Instruct Userfeedback SFT SPIN Iter1 by AmberYifan

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  Arxiv:2305.18290   Autotrain compatible Base model:amberyifan/qwen2.5-... Base model:finetune:amberyifan...   Conversational   Dpo   Endpoints compatible   Generated from trainer   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/AmberYifan/Qwen2.5-7B-Instruct-userfeedback-SFT-SPIN-iter1 

Qwen2.5 7B Instruct Userfeedback SFT SPIN Iter1 Benchmarks

LLME Score: 0.27219
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 Instruct Userfeedback SFT SPIN Iter1 (AmberYifan/Qwen2.5-7B-Instruct-userfeedback-SFT-SPIN-iter1)
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Qwen2.5 7B Instruct Userfeedback SFT SPIN Iter1 Parameters and Internals

LLM NameQwen2.5 7B Instruct Userfeedback SFT SPIN Iter1
Repository 🤗https://huggingface.co/AmberYifan/Qwen2.5-7B-Instruct-userfeedback-SFT-SPIN-iter1 
Model NameQwen2.5-7B-Instruct-userfeedback-SFT-SPIN-iter1
Base Model(s)  AmberYifan/Qwen2.5-7B-Instruct-userfeedback-SFT   AmberYifan/Qwen2.5-7B-Instruct-userfeedback-SFT
Model Size7b
Required VRAM15.2 GB
Updated2025-07-02
MaintainerAmberYifan
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4   0.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than AmberYifan/Qwen2.5-7B-Instruct-userfeedback-SFT-SPIN-iter1.

Rank the Qwen2.5 7B Instruct Userfeedback SFT SPIN Iter1 Capabilities

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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  
Multi-Language Support and Translation  

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