Adapter Base model:adapter:google/gemm... Base model:google/gemma-2b-it Dataset:jpacifico/french-alpac... Finetuned Fr Generated from trainer Instruct Lora Peft Region:us Safetensors Sft Tensorboard Trl
Model Card on HF 🤗: https://huggingface.co/1rsh/gemma-2b-it-fr
Gemma 2B It Fr 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 Fr Parameters and Internals
| Model Type |
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| Additional Notes |
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| Supported Languages |
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| Training Details |
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| LLM Name | Gemma 2B It Fr |
| Repository 🤗 | https://huggingface.co/1rsh/gemma-2b-it-fr |
| Base Model(s) | |
| Model Size | 2b |
| Required VRAM | 0 GB |
| Updated | 2025-02-22 |
| Maintainer | 1rsh |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | fr |
| Model Architecture | Adapter |
| License | other |
| Is Biased | none |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | k_proj|v_proj|o_proj|up_proj|gate_proj|q_proj|down_proj |
| LoRA Alpha | 8 |
| LoRA Dropout | 0 |
| R Param | 8 |
Best Alternatives to Gemma 2B It Fr
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gemma 2B JapaneseQA Instruct | 0K / 2.1 GB | 5 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than 1rsh/gemma-2b-it-fr .
Rank the Gemma 2B It Fr Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227