Who developed Miha Qwen2.5 0.5B Lora and how large is it?

Miha Qwen2.5 0.5B Lora is developed by Thorsu, 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 Miha Qwen2.5 0.5B Lora?

Miha Qwen2.5 0.5B Lora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Miha Qwen2.5 0.5B Lora by Thorsu

Name: Miha Qwen2.5 0.5B Lora
Author: Thorsu

Miha Qwen2.5 0.5B Lora is an open-source language model by Thorsu. Features: 0.5b LLM, Instruction-Based, LLM Explorer Score: 0.28.

Adapter Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-0.5b-i... Conversational Doi:10.57967/hf/11014 Evidence-grounding Experimental Finetuned Instruct Lora Miha Peft Qwen2.5 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Thorsu/miha-qwen2.5-0.5b-lora

Miha Qwen2.5 0.5B Lora Parameters and Internals

LLM Name	Miha Qwen2.5 0.5B Lora
Repository 🤗	https://huggingface.co/Thorsu/miha-qwen2.5-0.5b-lora
Base Model(s)	Qwen/Qwen2.5-0.5B-Instruct Qwen/Qwen2.5-0.5B-Instruct
Model Size	0.5b
Required VRAM	0 GB
Updated	2026-10-21
Maintainer	Thorsu
Instruction-Based	Yes
Model Files	0.0 GB
Model Architecture	Adapter
Model Max Length	131072
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|k_proj\|gate_proj\|down_proj\|up_proj\|o_proj\|q_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16
Errors	replace

Rank the Miha Qwen2.5 0.5B Lora 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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