Fine Tuning Bebidas by Tales-Alves

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  4bit   Autotrain compatible Base model:quantized:unsloth/l... Base model:unsloth/llama-3-8b-...   En   Endpoints compatible   Gguf   Llama   Lora   Pytorch   Quantized   Region:us   Safetensors   Sft   Sharded   Trl   Unsloth

Fine Tuning Bebidas Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Fine Tuning Bebidas (Tales-Alves/Fine_Tuning_Bebidas)

Fine Tuning Bebidas Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This llama model was trained 2x faster with Unsloth.
Training Details 
Methodology:
Finetuned using Unsloth and Huggingface's TRL library.
LLM NameFine Tuning Bebidas
Repository ๐Ÿค—https://huggingface.co/Tales-Alves/Fine_Tuning_Bebidas 
Base Model(s)  Llama 3 8B Bnb 4bit   unsloth/llama-3-8b-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2025-02-05
MaintainerTales-Alves
Model Files  8.5 GB   0.2 GB   5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
GGUF QuantizationYes
Quantization Type4bit|gguf
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|q_proj|down_proj|up_proj|gate_proj|o_proj|k_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than Tales-Alves/Fine_Tuning_Bebidas.

Rank the Fine Tuning Bebidas 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 v20241227