Arxiv:1910.09700 Autotrain compatible Endpoints compatible Gemma Instruct Lora Region:us Safetensors Sharded Tensorflow
Gemma 2B Instruct Fiqa 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 Instruct Fiqa Parameters and Internals
| LLM Name | Gemma 2B Instruct Fiqa |
| Repository 🤗 | https://huggingface.co/Aravindan/gemma-2b-instruct-fiqa |
| Model Size | 2b |
| Required VRAM | 5.1 GB |
| Updated | 2024-09-06 |
| Maintainer | Aravindan |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| Is Biased | none |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <eos> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | up_proj|down_proj|k_proj|v_proj|gate_proj|q_proj|o_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.1 |
| R Param | 8 |
Rank the Gemma 2B Instruct Fiqa Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803