What are the hardware requirements for Chinna Base 97M?

Chinna Base 97M requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Chinna Base 97M and how large is it?

Chinna Base 97M is developed by dubspai, a model with 97m 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 Chinna Base 97M?

Chinna Base 97M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Chinna Base 97M by dubspai — VRAM 0.2GB

Name: Chinna Base 97M
Author: dubspai

Chinna Base 97M is an open-source language model by dubspai. Features: 97m LLM, VRAM: 0.2GB, License: cc-by-sa-4.0, Quantized.

Endpoints compatible Gguf Ollama Quantized Region:us Safetensors Small-language-model Ta Tamil Trained-from-scratch

Model Card on HF 🤗: https://huggingface.co/dubspai/chinna-base-97m

Chinna Base 97M Parameters and Internals

LLM Name	Chinna Base 97M
Repository 🤗	https://huggingface.co/dubspai/chinna-base-97m
Model Size	97m
Required VRAM	0.2 GB
Updated	2026-11-04
Maintainer	dubspai
Model Files	0.2 GB 0.4 GB
Supported Languages	ta
GGUF Quantization	Yes
Quantization Type	gguf
License	cc-by-sa-4.0

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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