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ECE Qwen0.5B FT V2 by Youlln

 »  All LLMs  »  Youlln  »  ECE Qwen0.5B FT V2   URL Share it on

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b-i... Dataset:augmentation-scaling-l...   Endpoints compatible   Instruct   Model-index   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Youlln/ECE-Qwen0.5B-FT-V2 

ECE Qwen0.5B FT V2 Benchmarks

MMLU Pro: 7.4
GPQA: 2.24
MUSR: 0.89
BBH: 7.63
IFEval: 25.26 vs 88 (so35)-71.3%
MATH Lvl 5: 2.04
LLME Score: 0.25048
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ECE Qwen0.5B FT V2 (Youlln/ECE-Qwen0.5B-FT-V2)

ECE Qwen0.5B FT V2 Parameters and Internals

Model Type 
text-generation
Use Cases 
Primary Use Cases:
solving complex mathematical problems, math-related tasks
Additional Notes 
The model is specifically optimized for mathematical reasoning.
Training Details 
Data Sources:
Augmentation-Scaling-Laws/math-seed-data
Methodology:
specialized fine-tuning focused on math
LLM NameECE Qwen0.5B FT V2
Repository 🤗https://huggingface.co/Youlln/ECE-Qwen0.5B-FT-V2 
Base Model(s)  Qwen/Qwen2.5-0.5B-Instruct   Qwen/Qwen2.5-0.5B-Instruct
Model Size0.5b
Required VRAM2 GB
Updated2025-02-22
MaintainerYoulln
Model Typeqwen2
Instruction-BasedYes
Model Files  2.0 GB
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.45.2
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Youlln/ECE-Qwen0.5B-FT-V2.

Rank the ECE Qwen0.5B FT V2 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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Release v20241227
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