Llama3 Petro Instruct V1 by Rebecca19990101

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  Arxiv:1910.09700   4-bit   Autotrain compatible   Bitsandbytes   Conversational Dataset:rebecca19990101/petro-...   En   Endpoints compatible   Instruct   Llama   Lora   Region:us   Safetensors   Sharded   Tensorflow   Unsloth

Llama3 Petro Instruct V1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 Petro Instruct V1 (Rebecca19990101/Llama3-Petro-Instruct-v1)

Llama3 Petro Instruct V1 Parameters and Internals

Training Details 
Data Sources:
Rebecca19990101/petro-dataset-v2
LLM NameLlama3 Petro Instruct V1
Repository ๐Ÿค—https://huggingface.co/Rebecca19990101/Llama3-Petro-Instruct-v1 
Model Size4.7b
Required VRAM5.8 GB
Updated2025-02-22
MaintainerRebecca19990101
Instruction-BasedYes
Model Files  0.2 GB   4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|gate_proj|up_proj|down_proj|v_proj|o_proj|q_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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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