What are the hardware requirements for Yuna 130M Conversation?

Yuna 130M Conversation requires approximately 0.5 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 Yuna 130M Conversation and how large is it?

Yuna 130M Conversation is developed by meadbee, a model with 130m 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 Yuna 130M Conversation?

Yuna 130M Conversation is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Yuna 130M Conversation by meadbee — VRAM 0.5GB, 2K context

Name: Yuna 130M Conversation
Author: meadbee

Yuna 130M Conversation is an open-source language model by meadbee. Features: 130m LLM, VRAM: 0.5GB, Context: 2K, LLM Explorer Score: 0.32.

Conversational En Endpoints compatible Finetuned Gqa Llama Region:us Roleplay Safetensors Yuna

Model Card on HF 🤗: https://huggingface.co/meadbee/Yuna-130M-Conversation

Yuna 130M Conversation Parameters and Internals

LLM Name	Yuna 130M Conversation
Repository 🤗	https://huggingface.co/meadbee/Yuna-130M-Conversation
Model Size	130m
Required VRAM	0.5 GB
Updated	2026-08-14
Maintainer	meadbee
Model Type	llama
Model Files	0.5 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	5.13.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	24000

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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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