Gemma 2B Malayalam T2 Model Vllm 4bit by animaRegem

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  4-bit   4bit   Autotrain compatible Base model:quantized:telugu-ll... Base model:telugu-llm-labs/ind...   Bitsandbytes   En   Endpoints compatible   Finetuned   Gemma   Quantized   Region:us   Safetensors   Sft   Trl   Unsloth

Gemma 2B Malayalam T2 Model Vllm 4bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2B Malayalam T2 Model Vllm 4bit (animaRegem/gemma-2b-malayalam-t2-model-vllm-4bit)

Gemma 2B Malayalam T2 Model Vllm 4bit Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, gemma, trl, sft
Additional Notes 
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
Training Details 
Methodology:
Finetuned from model : Telugu-LLM-Labs/Indic-gemma-2b-finetuned-sft-Navarasa-2.0; trained 2x faster with Unsloth and Huggingface's TRL library
LLM NameGemma 2B Malayalam T2 Model Vllm 4bit
Repository ๐Ÿค—https://huggingface.co/animaRegem/gemma-2b-malayalam-t2-model-vllm-4bit 
Base Model(s)  Telugu-LLM-Labs/Indic-gemma-2b-finetuned-sft-Navarasa-2.0   Telugu-LLM-Labs/Indic-gemma-2b-finetuned-sft-Navarasa-2.0
Model Size2b
Required VRAM2.1 GB
Updated2024-12-23
MaintaineranimaRegem
Model Typegemma
Model Files  2.1 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than animaRegem/gemma-2b-malayalam-t2-model-vllm-4bit.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217