Mistral 7B Ophtalmology by abirT

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  Autotrain compatible   Endpoints compatible   Lora   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral 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").
Mistral 7B Ophtalmology (abirT/Mistral-7B-ophtalmology)

Mistral 7B Ophtalmology Parameters and Internals

LLM NameMistral 7B Ophtalmology
Repository ๐Ÿค—https://huggingface.co/abirT/Mistral-7B-ophtalmology 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-05
MaintainerabirT
Model Files  0.4 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureAutoModelForCausalLM
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|o_proj|gate_proj|v_proj|k_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/Mistral-7B-ophtalmology.

Rank the Mistral 7B Ophtalmology Capabilities

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