Adapter Base model:adapter:google/gemm... Base model:google/gemma-2b Dataset:generator Finetuned Generated from trainer Instruct Lora Peft Region:us Safetensors Sft Tensorboard Trl
Model Card on HF 🤗: https://huggingface.co/kanxxyc/gemma-2b-japaneseQA-instruct
Gemma 2B JapaneseQA Instruct 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 JapaneseQA Instruct Parameters and Internals
| Additional Notes |
| |||
| Training Details |
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| LLM Name | Gemma 2B JapaneseQA Instruct |
| Repository 🤗 | https://huggingface.co/kanxxyc/gemma-2b-japaneseQA-instruct |
| Base Model(s) | |
| Model Size | 2b |
| Required VRAM | 2.1 GB |
| Updated | 2025-02-22 |
| Maintainer | kanxxyc |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Adapter |
| License | other |
| Is Biased | none |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <|im_end|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | k_proj|gate_proj|v_proj|q_proj|down_proj|o_proj|up_proj |
| LoRA Alpha | 8 |
| LoRA Dropout | 0.05 |
| R Param | 6 |
Best Alternatives to Gemma 2B JapaneseQA Instruct
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| Gemma 2B It Fr | 0K / 0 GB | 17 | 2 |
Rank the Gemma 2B JapaneseQA Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227