What are the hardware requirements for Gemma 2B Malayalam T2 Model Vllm 4bit?

Gemma 2B Malayalam T2 Model Vllm 4bit requires approximately 2.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 2B Malayalam T2 Model Vllm 4bit and how large is it?

Gemma 2B Malayalam T2 Model Vllm 4bit is developed by animaRegem, a model with 2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Gemma 2B Malayalam T2 Model Vllm 4bit?

Gemma 2B Malayalam T2 Model Vllm 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2B Malayalam T2 Model Vllm 4bit by animaRegem — VRAM 2.1GB, 8K context

Name: Gemma 2B Malayalam T2 Model Vllm 4bit
Author: animaRegem

Gemma 2B Malayalam T2 Model Vllm 4bit is an open-source language model by animaRegem. Features: 2b LLM, VRAM: 2.1GB, Context: 8K, License: apache-2.0, Quantized, Fine-Tuned, LLM Explorer Score: 0.12.

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

Model Card on HF 🤗: https://huggingface.co/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 Name	Gemma 2B Malayalam T2 Model Vllm 4bit
Repository 🤗	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 Size	2b
Required VRAM	2.1 GB
Updated	2026-08-07
Maintainer	animaRegem
Model Type	gemma
Model Files	2.1 GB
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

Rank the Gemma 2B Malayalam T2 Model Vllm 4bit capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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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.