What are the hardware requirements for Qwen 2.5 3B Lora Model?

Qwen 2.5 3B Lora Model requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen 2.5 3B Lora Model and how large is it?

Qwen 2.5 3B Lora Model is developed by bunnycore, a model with 3b 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 Qwen 2.5 3B Lora Model?

Qwen 2.5 3B Lora Model is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen 2.5 3B Lora Model by bunnycore — VRAM 0.1GB

Name: Qwen 2.5 3B Lora Model
Author: bunnycore

Qwen 2.5 3B Lora Model is an open-source language model by bunnycore. Features: 3b LLM, VRAM: 0.1GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.14.

Base model:finetune:unsloth/qw... Base model:unsloth/qwen2.5-3b-... En Endpoints compatible Instruct Lora Qwen2 Region:us Safetensors Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/bunnycore/qwen-2.5-3b-lora_model

Qwen 2.5 3B Lora Model Parameters and Internals

Additional Notes

This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.

Supported Languages

en (proficient)

LLM Name	Qwen 2.5 3B Lora Model
Repository 🤗	https://huggingface.co/bunnycore/qwen-2.5-3b-lora_model
Base Model(s)	unsloth/Qwen2.5-3B-Instruct unsloth/Qwen2.5-3B-Instruct
Model Size	3b
Required VRAM	0.1 GB
Updated	2026-07-20
Maintainer	bunnycore
Instruction-Based	Yes
Model Files	0.1 GB
Supported Languages	en
Model Architecture	AutoModel
License	apache-2.0
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	gate_proj\|k_proj\|up_proj\|q_proj\|o_proj\|down_proj\|v_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the Qwen 2.5 3B Lora Model capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Qwen 2.5 3B Lora Model

Best Alternatives	Context / RAM	Downloads	Likes
Qwen 2.5 3B Resume Evaluator	0K / 0.1 GB	30	1
...370 99b9 6888ba99c31f 5Gb1KbTn	0K / 0.8 GB	50	1
...f69 Bd88 Df041e188000 5HBgDWKx	0K / 0.8 GB	48	1
...a1b 9258 908c229d3b13 5HaqLt5t	0K / 0.8 GB	40	1
...370 99b9 6888ba99c31f 5GbUCuqK	0K / 0.8 GB	22	1
...370 99b9 6888ba99c31f 5CRjufiW	0K / 0.8 GB	21	1
...a1b 9258 908c229d3b13 5EEaxgnm	0K / 0.8 GB	20	1
...370 99b9 6888ba99c31f 5GxEB4yb	0K / 0.8 GB	19	1
Cs329x Hw1 DPO Lora	0K / 0 GB	18	1
...f0f A7b8 459e6efe87c6 5DZVt4Qx	0K / 0.8 GB	18	1

Note: green Score (e.g. "73.2") means that the model is better than bunnycore/qwen-2.5-3b-lora_model.