What are the hardware requirements for Qwen2.5 Coder 3B QLora?

Qwen2.5 Coder 3B QLora requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 Coder 3B QLora and how large is it?

Qwen2.5 Coder 3B QLora is developed by yadavkapil7155, 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 Qwen2.5 Coder 3B QLora?

Qwen2.5 Coder 3B QLora is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 Coder 3B QLora by yadavkapil7155 — VRAM 0.1GB

Name: Qwen2.5 Coder 3B QLora
Author: yadavkapil7155

Qwen2.5 Coder 3B QLora is an open-source language model by yadavkapil7155. Features: 3b LLM, VRAM: 0.1GB, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.28.

Adapter Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-coder-... Code Code-generation Codegen Conversational Dataset:huggingfaceh4/codealpa... Dataset:ise-uiuc/magicoder-oss... En Finetuned Instruct Lora Peft Qlora Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/yadavkapil7155/Qwen2.5-Coder-3B_QLora

Qwen2.5 Coder 3B QLora Parameters and Internals

LLM Name	Qwen2.5 Coder 3B QLora
Repository 🤗	https://huggingface.co/yadavkapil7155/Qwen2.5-Coder-3B_QLora
Base Model(s)	Qwen/Qwen2.5-Coder-3B-Instruct Qwen/Qwen2.5-Coder-3B-Instruct
Model Size	3b
Required VRAM	0.1 GB
Updated	2026-10-15
Maintainer	yadavkapil7155
Instruction-Based	Yes
Model Files	0.1 GB 0.0 GB
Supported Languages	en
Generates Code	Yes
Model Architecture	Adapter
License	apache-2.0
Model Max Length	32768
Is Biased	none
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|up_proj\|o_proj\|down_proj\|q_proj\|gate_proj\|k_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16
Errors	replace

Rank the Qwen2.5 Coder 3B QLora 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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