Llama3 Mental Health Llm Finetuned V3 High Accuracy by nihaal-mansoor

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  Arxiv:1910.09700   4-bit   Autotrain compatible   Bitsandbytes   Endpoints compatible   Finetuned   Llama   Lora   Region:us   Safetensors   Sharded   Tensorflow

Llama3 Mental Health Llm Finetuned V3 High Accuracy Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 Mental Health Llm Finetuned V3 High Accuracy (nihaal-mansoor/Llama3-mental-health-llm-finetuned-v3-high-accuracy)

Llama3 Mental Health Llm Finetuned V3 High Accuracy Parameters and Internals

LLM NameLlama3 Mental Health Llm Finetuned V3 High Accuracy
Repository ๐Ÿค—https://huggingface.co/nihaal-mansoor/Llama3-mental-health-llm-finetuned-v3-high-accuracy 
Model Size4.7b
Required VRAM5.8 GB
Updated2025-06-01
Maintainernihaal-mansoor
Model Files  4.2 GB   4.7 GB: 1-of-2   1.1 GB: 2-of-2
Model ArchitectureAutoModelForCausalLM
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|k_proj|gate_proj|o_proj|q_proj|down_proj|v_proj
LoRA Alpha8
LoRA Dropout0.1
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than nihaal-mansoor/Llama3-mental-health-llm-finetuned-v3-high-accuracy.

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