Finetunellama3.1 by rafajafa

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Llama   Lora   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

Finetunellama3.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Finetunellama3.1 (rafajafa/finetunellama3.1)

Finetunellama3.1 Parameters and Internals

LLM NameFinetunellama3.1
Repository ๐Ÿค—https://huggingface.co/rafajafa/finetunellama3.1 
Model Size8b
Required VRAM16.1 GB
Updated2025-01-17
Maintainerrafajafa
Model Files  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
Model ArchitectureAutoModelForCausalLM
Model Max Length131072
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj|q_proj|gate_proj|v_proj|up_proj|k_proj|o_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 rafajafa/finetunellama3.1.

Rank the Finetunellama3.1 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