What are the hardware requirements for Llavaqwen2.5 0.5B Finetune?

Llavaqwen2.5 0.5B Finetune requires approximately 1.9 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 Llavaqwen2.5 0.5B Finetune and how large is it?

Llavaqwen2.5 0.5B Finetune is developed by KKHYA, a model with 0.5b 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 Llavaqwen2.5 0.5B Finetune?

Llavaqwen2.5 0.5B Finetune is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llavaqwen2.5 0.5B Finetune by KKHYA — VRAM 1.9GB, 32K context

Name: Llavaqwen2.5 0.5B Finetune
Author: KKHYA

Llavaqwen2.5 0.5B Finetune is an open-source language model by KKHYA. Features: 0.5b LLM, VRAM: 1.9GB, Context: 32K, License: apache-2.0, Fine-Tuned, LLM Explorer Score: 0.23.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b Conversational Endpoints compatible Finetuned Generated from trainer Llava qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/KKHYA/llavaqwen2.5-0.5b-finetune

Llavaqwen2.5 0.5B Finetune Parameters and Internals

LLM Name	Llavaqwen2.5 0.5B Finetune
Repository 🤗	https://huggingface.co/KKHYA/llavaqwen2.5-0.5b-finetune
Base Model(s)	Qwen/Qwen2.5-0.5B Qwen/Qwen2.5-0.5B
Model Size	0.5b
Required VRAM	1.9 GB
Updated	2026-08-08
Maintainer	KKHYA
Model Type	llava_qwen2
Model Files	1.9 GB 0.0 GB
Model Architecture	LlavaQwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|extra_0\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Llavaqwen2.5 0.5B Finetune 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

Best Alternatives to Llavaqwen2.5 0.5B Finetune

Best Alternatives	Context / RAM	Downloads	Likes
FastVLM 0.5B Bf16	32K / 1.2 GB	3386	1
FastVLM 0.5B Stage3	32K / 1.5 GB	15	2

Note: green Score (e.g. "73.2") means that the model is better than KKHYA/llavaqwen2.5-0.5b-finetune.