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

Python Qwen2.5 Coder 3B Instruct requires approximately 6.2 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 Python Qwen2.5 Coder 3B Instruct and how large is it?

Python Qwen2.5 Coder 3B Instruct is developed by mrcuddle, 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 Python Qwen2.5 Coder 3B Instruct?

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

Python Qwen2.5 Coder 3B Instruct by mrcuddle — VRAM 6.2GB, 32K context

Name: Python Qwen2.5 Coder 3B Instruct
Author: mrcuddle

Python Qwen2.5 Coder 3B Instruct is an open-source language model by mrcuddle. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: other, Instruction-Based, Code Generating, LLM Explorer Score: 0.16.

Autotrain Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Codegen Conversational Dataset:mrcuddle/python-instru... Endpoints compatible Instruct Peft Qwen2 Region:us Safetensors Sharded Tensorboard Tensorflow

Model Card on HF 🤗: https://huggingface.co/mrcuddle/Python-Qwen2.5-Coder-3B-Instruct

Python Qwen2.5 Coder 3B Instruct Parameters and Internals

LLM Name	Python Qwen2.5 Coder 3B Instruct
Repository 🤗	https://huggingface.co/mrcuddle/Python-Qwen2.5-Coder-3B-Instruct
Base Model(s)	Qwen/Qwen2.5-Coder-3B-Instruct Qwen/Qwen2.5-Coder-3B-Instruct
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-08-01
Maintainer	mrcuddle
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2 0.0 GB
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	float16
Errors	replace

Rank the Python Qwen2.5 Coder 3B Instruct 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 Python Qwen2.5 Coder 3B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
VibeThinker 3B	128K / 6.2 GB	52745	806
Tessa T1 3B	117K / 6.2 GB	10	5
UIGEN T1.5 3B	117K / 6.2 GB	7	1
...er 3B Instruct Spider Sft Grpo	32K / 6.2 GB	756	1
Qwen2.5 Coder 3B Instruct	32K / 6.2 GB	196733	115
Qwen 2.5 3b Smarteaz 0.01a	32K / 6.3 GB	8	1
Q2.5 CodeR1 3B	32K / 6.2 GB	0	1
VisCoder2 3B	32K / 6.2 GB	55	3
Qwen 2.5 Coder 3B SQL Writer	32K / 6.2 GB	3	1
Omega Qwen2.5 Coder 3B	32K / 6.2 GB	28	3

Note: green Score (e.g. "73.2") means that the model is better than mrcuddle/Python-Qwen2.5-Coder-3B-Instruct.