Llama 2 7B Ophtalmology by abirT

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Llama 2 7B Ophtalmology Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 7B Ophtalmology (abirT/Llama-2-7B-ophtalmology)

Llama 2 7B Ophtalmology Parameters and Internals

LLM NameLlama 2 7B Ophtalmology
Repository ๐Ÿค—https://huggingface.co/abirT/Llama-2-7B-ophtalmology 
Model Size7b
Required VRAM40.5 GB
Updated2024-10-27
MaintainerabirT
Model Files  0.4 GB   10.0 GB: 1-of-2   9.9 GB: 1-of-3   3.5 GB: 2-of-2   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Model ArchitectureAdapter
Is Biasednone
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|k_proj|v_proj|o_proj|gate_proj
LoRA Alpha16
LoRA Dropout0.1
R Param64

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Note: green Score (e.g. "73.2") means that the model is better than abirT/Llama-2-7B-ophtalmology.

Rank the Llama 2 7B Ophtalmology Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227