Llavaqwen2.5 0.5B Finetune by KKHYA

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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: 0.28.

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

Llavaqwen2.5 0.5B Finetune Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llavaqwen2.5 0.5B Finetune (KKHYA/llavaqwen2.5-0.5b-finetune)
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Llavaqwen2.5 0.5B Finetune Parameters and Internals

LLM NameLlavaqwen2.5 0.5B Finetune
Repository ๐Ÿค—https://huggingface.co/KKHYA/llavaqwen2.5-0.5b-finetune 
Base Model(s)  Qwen/Qwen2.5-0.5B   Qwen/Qwen2.5-0.5B
Model Size0.5b
Required VRAM1.9 GB
Updated2026-04-01
MaintainerKKHYA
Model Typellava_qwen2
Model Files  1.9 GB   0.0 GB
Model ArchitectureLlavaQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|extra_0|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Instruction Following and Task Automation  
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Release v20260328a