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Math Evaporate Model by Joey-Ji

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  Autotrain compatible Base model:finetune:unsloth/ll...   Base model:unsloth/llama-3-8b   En   Endpoints compatible   Llama   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Joey-Ji/math-evaporate-model 

Math Evaporate Model Benchmarks

LLME Score: 0.17532
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Math Evaporate Model (Joey-Ji/math-evaporate-model)

Math Evaporate Model Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, trl, sft
Additional Notes 
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
LLM NameMath Evaporate Model
Repository 🤗https://huggingface.co/Joey-Ji/math-evaporate-model 
Base Model(s)  Llama 3 8B   unsloth/llama-3-8b
Model Size8b
Required VRAM4.4 GB
Updated2025-06-01
MaintainerJoey-Ji
Model Typellama
Model Files  4.4 GB: 1-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.39.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Joey-Ji/math-evaporate-model.

Rank the Math Evaporate Model Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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