Big Fut Final by Dongwookss

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  Arxiv:1910.09700   Autotrain compatible   Conversational Dataset:mintaeng/llm futsaldat...   Endpoints compatible   Ko   Lora   Mistral   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

Big Fut Final Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Big Fut Final (Dongwookss/big_fut_final)

Big Fut Final Parameters and Internals

Supported Languages 
Korean (NLP)
Training Details 
Data Sources:
llm_futsaldata_yo
Training Time:
7H 23M
Hardware Used:
Colab environment with L4 GPU
LLM NameBig Fut Final
Repository ๐Ÿค—https://huggingface.co/Dongwookss/big_fut_final 
Model Size7.2b
Required VRAM14.4 GB
Updated2024-12-22
MaintainerDongwookss
Model Files  0.3 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesko
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length32768
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj|v_proj|up_proj|q_proj|o_proj|gate_proj|k_proj
LoRA Alpha64
LoRA Dropout0.05
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than Dongwookss/big_fut_final.

Rank the Big Fut Final 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217