What are the hardware requirements for Gemma 3 1B Bhagavad Gita V1?

Gemma 3 1B Bhagavad Gita V1 requires approximately 2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 3 1B Bhagavad Gita V1 and how large is it?

Gemma 3 1B Bhagavad Gita V1 is developed by abagade, a model with 1b 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 3 1B Bhagavad Gita V1?

Gemma 3 1B Bhagavad Gita V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 3 1B Bhagavad Gita V1 by abagade — VRAM 2GB, 32K context

Name: Gemma 3 1B Bhagavad Gita V1
Author: abagade

Gemma 3 1B Bhagavad Gita V1 is an open-source language model by abagade. Features: 1b LLM, VRAM: 2GB, Context: 32K, License: other, LLM Explorer Score: 0.2.

Bhagavad-gita Conversational Endpoints compatible Gemma Gemma3 text Generated from trainer Region:us Safetensors Sft Spiritual-guidance Tensorboard Trl

Model Card on HF 🤗: https://huggingface.co/abagade/gemma-3-1b-bhagavad-gita-v1

Gemma 3 1B Bhagavad Gita V1 Parameters and Internals

LLM Name	Gemma 3 1B Bhagavad Gita V1
Repository 🤗	https://huggingface.co/abagade/gemma-3-1b-bhagavad-gita-v1
Model Size	1b
Required VRAM	2 GB
Updated	2026-07-26
Maintainer	abagade
Model Type	gemma3_text
Model Files	2.0 GB 0.0 GB
Model Architecture	Gemma3ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.55.4
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262144
Torch Data Type	bfloat16

Rank the Gemma 3 1B Bhagavad Gita V1 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

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Note: green Score (e.g. "73.2") means that the model is better than abagade/gemma-3-1b-bhagavad-gita-v1.