Gemma 2B It Finetuned Mental Health Qa is an open-source language model by GuelGaMesh01. Features: 2b LLM, VRAM: 5.1GB, License: mit, Fine-Tuned, LLM Explorer Score: 0.16.
Autotrain compatible Conversational Dataset:amod/mental health cou... Endpoints compatible Finetuned Gemma Lora Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/GuelGaMesh01/gemma-2b-it-finetuned-mental-health-qa
Gemma 2B It Finetuned Mental Health Qa Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Gemma 2B It Finetuned Mental Health Qa Parameters and Internals
| LLM Name | Gemma 2B It Finetuned Mental Health Qa |
| Repository 🤗 | https://huggingface.co/GuelGaMesh01/gemma-2b-it-finetuned-mental-health-qa |
| Model Size | 2b |
| Required VRAM | 5.1 GB |
| Updated | 2025-09-23 |
| Maintainer | GuelGaMesh01 |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| License | mit |
| Is Biased | none |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <eos> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | v_proj|up_proj|q_proj|o_proj|k_proj|gate_proj|down_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 64 |
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Note: green Score (e.g. "73.2") means that the model is better than GuelGaMesh01/gemma-2b-it-finetuned-mental-health-qa .
Rank the Gemma 2B It Finetuned Mental Health Qa Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a