What are the hardware requirements for Qwen2.5 Coder 14B YOYO?

Qwen2.5 Coder 14B YOYO requires approximately 29.7 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 Coder 14B YOYO and how large is it?

Qwen2.5 Coder 14B YOYO is developed by YOYO-AI, a model with 14b 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 14B YOYO?

Qwen2.5 Coder 14B YOYO is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 Coder 14B YOYO by YOYO-AI — VRAM 29.7GB, 128K context

Name: Qwen2.5 Coder 14B YOYO
Author: YOYO-AI

Qwen2.5 Coder 14B YOYO is an open-source language model by YOYO-AI. Features: 14b LLM, VRAM: 29.7GB, Context: 128K, Code Generating, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2406.11617 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Codegen Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/YOYO-AI/Qwen2.5-Coder-14B-YOYO

Qwen2.5 Coder 14B YOYO Parameters and Internals

LLM Name	Qwen2.5 Coder 14B YOYO
Repository 🤗	https://huggingface.co/YOYO-AI/Qwen2.5-Coder-14B-YOYO
Base Model(s)	Qwen/Qwen2.5-Coder-14B-instruct Qwen/Qwen2.5-Coder-14B Qwen/Qwen2.5-Coder-14B-instruct Qwen/Qwen2.5-Coder-14B
Merged Model	Yes
Model Size	14b
Required VRAM	29.7 GB
Updated	2026-05-26
Maintainer	YOYO-AI
Model Type	qwen2
Model Files	4.9 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 4.8 GB: 6-of-6
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 Coder 14B YOYO 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 Qwen2.5 Coder 14B YOYO

Best Alternatives	Context / RAM	Downloads	Likes
ZYH LLM Qwen2.5 14B V4	986K / 29.7 GB	27	8
Qwen2.5 14B YOYO V4	986K / 29.7 GB	20	5
ZYH LLM Qwen2.5 14B V2	986K / 29.7 GB	14	1
ZYH LLM Qwen2.5 14B V5	986K / 29.7 GB	12	8
Qwen2.5 14B YOYO V5	986K / 29.7 GB	10	4
Mergekit Model Stock Ggfjmyf	986K / 29.7 GB	14	0
Mergekit Model Stock Injkqri	986K / 29.7 GB	5	1
Primal Opus 14B Optimus V2	128K / 29.7 GB	12	4
Qwen2.5 14B ReasoningMerge	128K / 29.7 GB	20	3
Qwen2.5 14B YOYO Latest	128K / 29.7 GB	53	0

Note: green Score (e.g. "73.2") means that the model is better than YOYO-AI/Qwen2.5-Coder-14B-YOYO.