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-v2
Gemma 2 9B Sft Jp En Zh V2 Benchmarks
MMLU Pro: 29.72
GPQA: 5.03
MUSR: 7.01
BBH: 22.66
IFEval: 39.93 vs 88 (so35)-54.6%
MATH Lvl 5: 2.57
LLME Score: 0.30693
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 2 9B Sft Jp En Zh V2 Parameters and Internals
| LLM Name | Gemma 2 9B Sft Jp En Zh V2 |
| Repository 🤗 | https://huggingface.co/noname0202/gemma-2-9b-sft-jp-en-zh-v2 |
| Base Model(s) | |
| Model Size | 9b |
| Required VRAM | 18.6 GB |
| Updated | 2025-01-29 |
| Maintainer | noname0202 |
| Model Type | gemma2 |
| Model Files | |
| Supported Languages | ja en zh |
| Model Architecture | Gemma2ForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.47.1 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Gemma 2 9B Sft Jp En Zh V2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| G2 GSHT 32K | 32K / 20.4 GB | 11 | 0 |
| Gemma 2 9B It SimPO | 8K / 18.6 GB | 29255 | 142 |
| Gemma 2 9B It | 8K / 18.6 GB | 388793 | 642 |
| Gemma 2 9B | 8K / 37.1 GB | 78866 | 635 |
| ...2 9B Cpt Sahabatai V1 Instruct | 8K / 18.6 GB | 4276 | 34 |
| MT4 Gen5 Gemma 2 9B | 8K / 20.4 GB | 155 | 2 |
| SILMA 9B Instruct V1.0 | 8K / 18.6 GB | 18813 | 63 |
| Recoilme Gemma 2 9B V0.3 | 8K / 20.4 GB | 5170 | 3 |
| ...erge 02012025163610 Gemma 2 9B | 8K / 20.4 GB | 54 | 1 |
| Magnum V4 9B | 8K / 18.6 GB | 4983 | 17 |
Note: green Score (e.g. "73.2") means that the model is better than noname0202/gemma-2-9b-sft-jp-en-zh-v2 .
Rank the Gemma 2 9B Sft Jp En Zh V2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227