Model Type |
| |||
Additional Notes |
| |||
Training Details |
|
LLM Name | Gemma 2B Malayalam T2 Model Vllm 4bit |
Repository ๐ค | https://huggingface.co/animaRegem/gemma-2b-malayalam-t2-model-vllm-4bit |
Base Model(s) | |
Model Size | 2b |
Required VRAM | 2.1 GB |
Updated | 2024-12-23 |
Maintainer | animaRegem |
Model Type | gemma |
Model Files | |
Supported Languages | en |
Quantization Type | 4bit |
Model Architecture | GemmaForCausalLM |
License | apache-2.0 |
Context Length | 8192 |
Model Max Length | 8192 |
Transformers Version | 4.41.1 |
Tokenizer Class | GemmaTokenizer |
Padding Token | <pad> |
Vocabulary Size | 256000 |
Torch Data Type | float16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
Vi Gemma 2B RAG | 8K / 5.1 GB | 885 | 13 |
... 2B It Hermes Function Calling | 8K / 5.1 GB | 23 | 0 |
Gemma 2B Bnb 4bit | 8K / 2.1 GB | 3350 | 15 |
Gemma 1.1 2B It Bnb 4bit | 8K / 2.1 GB | 1254 | 4 |
My AwesomeFinance Model | 8K / 2.1 GB | 13 | 0 |
... 2.8 Gemma 2B HQQ 4bit Smashed | 8K / 2.1 GB | 12 | 0 |
Gemma 2B It Bnb 4bit | 8K / 2.1 GB | 1614 | 18 |
... 2.8 Gemma 2B HQQ 1bit Smashed | 8K / 1.3 GB | 11 | 0 |
... 2.8 Gemma 2B HQQ 2bit Smashed | 8K / 1.6 GB | 11 | 0 |
Emo AI 3B | 8K / 5.1 GB | 12 | 1 |
๐ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐