What are the hardware requirements for Gemma 2B Malayalam T2 Gguf?

Gemma 2B Malayalam T2 Gguf requires approximately 1.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 2B Malayalam T2 Gguf and how large is it?

Gemma 2B Malayalam T2 Gguf 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 Gguf?

Gemma 2B Malayalam T2 Gguf 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 Gguf by animaRegem — VRAM 1.8GB

Name: Gemma 2B Malayalam T2 Gguf
Author: animaRegem

Gemma 2B Malayalam T2 Gguf is an open-source language model by animaRegem. Features: 2b LLM, VRAM: 1.8GB, License: apache-2.0, Quantized, Fine-Tuned, LLM Explorer Score: 0.13.

Base model:quantized:telugu-ll... Base model:telugu-llm-labs/ind... En Endpoints compatible Finetuned Gemma Gguf Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/animaRegem/gemma-2b-malayalam-t2-gguf

Gemma 2B Malayalam T2 Gguf Parameters and Internals

Model Type

text-generation-inference

Additional Notes

This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

LLM Name	Gemma 2B Malayalam T2 Gguf
Repository 🤗	https://huggingface.co/animaRegem/gemma-2b-malayalam-t2-gguf
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	1.8 GB
Updated	2026-08-04
Maintainer	animaRegem
Model Type	gemma
Model Files	1.8 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the Gemma 2B Malayalam T2 Gguf capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Gemma 2B Malayalam T2 Gguf

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Gemma 2 2B It GGUF	0K / 0.8 GB	54423	14
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Jenna Gemma V01 Gguf Q4	0K / 1.6 GB	32	0
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Gemma 2B It Bnb 4bit Gguf F16	0K / 5 GB	8	0
...mma 2B It Bnb 4bit Gguf Q5 K M	0K / 0.5 GB	7	0
Gemma 2B It Bnb 4bit Gguf Q8 0	0K / 0.7 GB	6	0
...mma 2B It Bnb 4bit Gguf Q4 K M	0K / 0.5 GB	5	0
Gemma Lora 2b Medical Gguf	0K / 2.7 GB	43	1

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