What are the hardware requirements for Gamia Pygame V1?

Gamia Pygame V1 requires approximately 2.2 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gamia Pygame V1 and how large is it?

Gamia Pygame V1 is developed by RAANA-IA, a model with 1.1b 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 Gamia Pygame V1?

Gamia Pygame V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gamia Pygame V1 by RAANA-IA — VRAM 2.2GB, 2K context

Name: Gamia Pygame V1
Author: RAANA-IA

Gamia Pygame V1 is an open-source language model by RAANA-IA. Features: 1.1b LLM, VRAM: 2.2GB, Context: 2K, License: other, LLM Explorer Score: 0.22.

2d hyper-casuals games Conversational Endpoints compatible Gamia Llama Pygame Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/RAANA-IA/Gamia-pygame-v1

Gamia Pygame V1 Parameters and Internals

LLM Name	Gamia Pygame V1
Repository 🤗	https://huggingface.co/RAANA-IA/Gamia-pygame-v1
Model Size	1.1b
Required VRAM	2.2 GB
Updated	2026-07-18
Maintainer	RAANA-IA
Model Type	llama
Model Files	2.2 GB 0.0 GB
Model Architecture	LlamaForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	5.0.0
Tokenizer Class	TokenizersBackend
Padding Token	</s>
Vocabulary Size	32000

Rank the Gamia Pygame V1 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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