Futfut By Zephyr7b by Dongwookss

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  Autotrain compatible   Conversational Dataset:dongwookss/q a korean ...   Endpoints compatible   Ko   Lora   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth

Futfut By Zephyr7b Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Futfut By Zephyr7b (Dongwookss/futfut_by_zephyr7b)

Futfut By Zephyr7b Parameters and Internals

Model Type 
transformer
Use Cases 
Primary Use Cases:
Futsal domain chatbot assistant.
Additional Notes 
The model's speech style ends with 'μ–Όλ§ˆλ“ μ§€ λ¬Όμ–΄λ³΄μ„Έμš”! ν’‹ν’‹~!' to maintain the model's concept.
Supported Languages 
ko (Korean)
Training Details 
Data Sources:
Dongwookss/q_a_korean_futsal
Methodology:
LLM fine-tuning and RAG were used to build a futsal domain friendly chatbot.
Hardware Used:
L4 GPU
Input Output 
Input Format:
Messages in specific prompt format with instructions and roles.
Accepted Modalities:
text
Output Format:
Textual response to the task or instruction given.
LLM NameFutfut By Zephyr7b
Repository πŸ€—https://huggingface.co/Dongwookss/futfut_by_zephyr7b 
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 Modulesup_proj|k_proj|v_proj|o_proj|down_proj|q_proj|gate_proj
LoRA Alpha64
LoRA Dropout0.05
R Param32

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Rank the Futfut By Zephyr7b 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