Llama 3 8B Instruct Bvr Finetune V3 by Akshay47

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  Arxiv:1910.09700   Adapter Base model:adapter:meta-llama/... Base model:meta-llama/meta-lla...   Finetuned   Instruct   Llama   Lora   Peft   Region:us   Safetensors   Sharded   Tensorboard   Tensorflow

Llama 3 8B Instruct Bvr Finetune V3 Benchmarks

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

Llama 3 8B Instruct Bvr Finetune V3 Parameters and Internals

LLM NameLlama 3 8B Instruct Bvr Finetune V3
Repository ๐Ÿค—https://huggingface.co/Akshay47/Llama-3-8B-Instruct_bvr_finetune_v3 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2024-11-17
MaintainerAkshay47
Model Typellama
Instruction-BasedYes
Model Files  0.1 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   0.0 GB
Model ArchitectureAdapter
Context Length8192
Model Max Length8192
Transformers Version4.41.0.dev0
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|gate_proj|down_proj|v_proj|o_proj|up_proj|q_proj
LoRA Alpha16
LoRA Dropout0.05
R Param16
Torch Data Typefloat16
Llama 3 8B Instruct Bvr Finetune V3 (Akshay47/Llama-3-8B-Instruct_bvr_finetune_v3)

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Note: green Score (e.g. "73.2") means that the model is better than Akshay47/Llama-3-8B-Instruct_bvr_finetune_v3.

Rank the Llama 3 8B Instruct Bvr Finetune V3 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 v20241110