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MMed Llama 3 8B Retrained by arsen7076

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  Autotrain compatible   Conversational   Endpoints compatible   Llama   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/arsen7076/MMed_llama_3_8b_retrained 

MMed Llama 3 8b Retrained Benchmarks

LLME Score: 0.20277
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MMed Llama 3 8B Retrained (arsen7076/MMed_llama_3_8b_retrained)

MMed Llama 3 8B Retrained Parameters and Internals

LLM NameMMed Llama 3 8b Retrained
Repository 🤗https://huggingface.co/arsen7076/MMed_llama_3_8b_retrained 
Model Size8b
Required VRAM7.2 GB
Updated2025-01-20
Maintainerarsen7076
Model Typellama
Model Files  7.2 GB
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.31.0
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
PEFT TypeLORA
PEFT Target Modulesgate_proj|down_proj|up_proj|o_proj|k_proj|q_proj|v_proj
LoRA Alpha32
LoRA Dropout0.1
R Param128
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than arsen7076/MMed_llama_3_8b_retrained.

Rank the MMed Llama 3 8B Retrained Capabilities

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Release v20241227
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