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Qwen2.5 3B Sft 10 by CriteriaPO

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Qwen2.5 3B Sft 10 is an open-source language model by CriteriaPO. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, LLM Explorer Score: 0.19.

Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-3b   Conversational   Endpoints compatible   Generated from trainer   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/CriteriaPO/qwen2.5-3b-sft-10 

Qwen2.5 3B Sft 10 Benchmarks

LLME Score: 0.19315
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 3B Sft 10 (CriteriaPO/qwen2.5-3b-sft-10)
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Qwen2.5 3B Sft 10 Parameters and Internals

LLM NameQwen2.5 3B Sft 10
Repository 🤗https://huggingface.co/CriteriaPO/qwen2.5-3b-sft-10 
Model Nameqwen2.5-3b-sft-10
Base Model(s)  Qwen/Qwen2.5-3B   Qwen/Qwen2.5-3B
Model Size3b
Required VRAM6.2 GB
Updated2026-04-17
MaintainerCriteriaPO
Model Typeqwen2
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2   0.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than CriteriaPO/qwen2.5-3b-sft-10.

Rank the Qwen2.5 3B Sft 10 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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