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| Use Cases | 
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| Additional Notes | 
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| Training Details | 
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| LLM Name | Gemma Han 2B | 
| Repository ๐ค | https://huggingface.co/ping98k/gemma-han-2b | 
| Base Model(s) | |
| Model Size | 2b | 
| Required VRAM | 5.1 GB | 
| Updated | 2025-09-23 | 
| Maintainer | ping98k | 
| Model Type | gemma | 
| Instruction-Based | Yes | 
| Model Files | |
| Supported Languages | th | 
| GGUF Quantization | Yes | 
| Quantization Type | gguf | 
| Model Architecture | GemmaForCausalLM | 
| Context Length | 8192 | 
| Model Max Length | 8192 | 
| Transformers Version | 4.39.3 | 
| Tokenizer Class | GemmaTokenizer | 
| Padding Token | <pad> | 
| Vocabulary Size | 256000 | 
| Torch Data Type | bfloat16 | 
| Best Alternatives | Context / RAM | Downloads | Likes | 
|---|---|---|---|
| ...os Code Instruct Finetune Test | 8K / 5.1 GB | 15 | 0 | 
| Gemma 2B Inst Aipi | 8K / 5.1 GB | 35 | 2 | 
| ...ma Code Instruct Finetune Test | 8K / 5.1 GB | 10 | 0 | 
| Gemma 2B Instruct | 8K / 5.1 GB | 132 | 0 | 
| ...Code 2B Instruct Finetune Test | 8K / 5.1 GB | 16 | 0 | 
| Gita SastraGPT V1 | 8K / 5.1 GB | 27 | 1 | 
| Pandas Tutor Gemma 2B | 8K / 5.1 GB | 9 | 1 | 
| ... 2B Finetuned Sft Navarasa 2.0 | 8K / 10 GB | 1253 | 25 | 
| Leniachat Gemma 2B V0 | 8K / 15.1 GB | 1070 | 14 | 
| ...ma Code Instruct Finetune Test | 8K / 5.1 GB | 5 | 0 | 
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