What are the hardware requirements for Gemma 3 270M Bhagavad Gita V1?

Gemma 3 270M Bhagavad Gita V1 requires approximately 1.1 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 270M Bhagavad Gita V1 and how large is it?

Gemma 3 270M Bhagavad Gita V1 is developed by abagade, a model with 270m 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 270M Bhagavad Gita V1?

Gemma 3 270M 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 270M Bhagavad Gita V1 by abagade — VRAM 1.1GB, 32K context

Name: Gemma 3 270M Bhagavad Gita V1
Author: abagade

Gemma 3 270M Bhagavad Gita V1 is an open-source language model by abagade. Features: 270m LLM, VRAM: 1.1GB, Context: 32K, LLM Explorer Score: 0.19.

Bhagavad-gita Conversational Endpoints compatible Gemma Gemma3 text Region:us Safetensors Spiritual-guidance

Model Card on HF 🤗: https://huggingface.co/abagade/gemma-3-270m-bhagavad-gita-v1

Gemma 3 270M Bhagavad Gita V1 Parameters and Internals

LLM Name	Gemma 3 270M Bhagavad Gita V1
Repository 🤗	https://huggingface.co/abagade/gemma-3-270m-bhagavad-gita-v1
Model Size	270m
Required VRAM	1.1 GB
Updated	2026-08-01
Maintainer	abagade
Model Type	gemma3_text
Model Files	1.1 GB
Model Architecture	Gemma3ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.55.4
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262144
Torch Data Type	float32

Rank the Gemma 3 270M 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

Best Alternatives to Gemma 3 270M Bhagavad Gita V1

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 3 270M	32K / 0.5 GB	5434146	1041
Gemma 3 270M It	32K / 0.5 GB	1222057	604
Functiongemma 270M It	32K / 0.5 GB	38635	1044
...act Gemma 3 270M Fine Tuned V1	32K / 0.5 GB	593	1
Parking Gemma 270M V2 Onnx	32K / GB	501	1
Turkish Pii Detection	32K / 0.5 GB	2718	1
Kairos Quality Intent	32K / GB	557	1
...Extract Gemma 3 270M Finetuned	32K / 1.1 GB	358	1
...th Solver Gemma 270M Fine Tune	32K / 1.1 GB	285	1
Kavach PII 270M	32K / 0.5 GB	533	1

Note: green Score (e.g. "73.2") means that the model is better than abagade/gemma-3-270m-bhagavad-gita-v1.