Autotrain compatible Base model:google/gemma-2-9b Conversational Endpoints compatible Finetuned Gemma2 Generated from trainer License:gemma Lora Pytorch Region:us Sharded
Model Card on HF 🤗: https://huggingface.co/AndreasThinks/gemma-2-9b-nopcsa-finetune
Gemma 2 9B Nopcsa Finetune 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 2 9B Nopcsa Finetune Parameters and Internals
| LLM Name | Gemma 2 9B Nopcsa Finetune |
| Repository 🤗 | https://huggingface.co/AndreasThinks/gemma-2-9b-nopcsa-finetune |
| Base Model(s) | |
| Model Size | 9b |
| Required VRAM | 18.6 GB |
| Updated | 2024-07-21 |
| Maintainer | AndreasThinks |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| License | gemma |
| Is Biased | none |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|up_proj|o_proj|down_proj|v_proj|gate_proj|k_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.05 |
| R Param | 32 |
Best Alternatives to Gemma 2 9B Nopcsa Finetune
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gemma 2 KoMed Lr2e 5 | 0K / 18.6 GB | 22 | 0 |
| MedGPT Gemma2 9B BA V.1 | 0K / 18.6 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than AndreasThinks/gemma-2-9b-nopcsa-finetune .
Rank the Gemma 2 9B Nopcsa Finetune Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124