Gemma 2 9B Sft Jp En Zh V2 by noname0202

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Gemma 2 9B Sft Jp En Zh V2 is an open-source language model by noname0202. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.23.

  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

Gemma 2 9B Sft Jp En Zh V2 Benchmarks

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 V2 (noname0202/gemma-2-9b-sft-jp-en-zh-v2)
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Gemma 2 9B Sft Jp En Zh V2 Parameters and Internals

LLM NameGemma 2 9B Sft Jp En Zh V2
Repository ๐Ÿค—https://huggingface.co/noname0202/gemma-2-9b-sft-jp-en-zh-v2 
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-v2.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Release v20260328a