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Gemma 2 9B Sft Jp En Zh V1 by noname0202

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  Arxiv:1910.09700   Autotrain compatible Base model:finetune:google/gem...   Base model:google/gemma-2-9b   Conversational Dataset:databricks/databricks-... Dataset:davidlanz/chinese-doll... Dataset:izumi-lab/llm-japanese... Dataset:kunishou/databricks-do...   En   Endpoints compatible   Gemma2   Ja   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/noname0202/gemma-2-9b-sft-jp-en-zh-v1 

Gemma 2 9B Sft Jp En Zh V1 Benchmarks

MMLU Pro: 23.61
GPQA: 7.61
MUSR: 9.1
BBH: 22
IFEval: 29.88 vs 88 (so35)-66%
MATH Lvl 5: 2.64
LLME Score: 0.29901
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2 9B Sft Jp En Zh V1 (noname0202/gemma-2-9b-sft-jp-en-zh-v1)

Gemma 2 9B Sft Jp En Zh V1 Parameters and Internals

LLM NameGemma 2 9B Sft Jp En Zh V1
Repository 🤗https://huggingface.co/noname0202/gemma-2-9b-sft-jp-en-zh-v1 
Base Model(s)  Gemma 2 9B   google/gemma-2-9b
Model Size9b
Required VRAM18.6 GB
Updated2025-01-29
Maintainernoname0202
Model Typegemma2
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.7 GB: 4-of-4
Supported Languagesja en zh
Model ArchitectureGemma2ForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.47.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than noname0202/gemma-2-9b-sft-jp-en-zh-v1.

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