What are the hardware requirements for ZYH LLM Qwen2.5 14B V2?

ZYH LLM Qwen2.5 14B V2 requires approximately 29.7 GB of VRAM and supports a context window of 986K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ZYH LLM Qwen2.5 14B V2 and how large is it?

ZYH LLM Qwen2.5 14B V2 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 ZYH LLM Qwen2.5 14B V2?

ZYH LLM Qwen2.5 14B V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ZYH LLM Qwen2.5 14B V2 by YOYO-AI — VRAM 29.7GB, 986K context

Name: ZYH LLM Qwen2.5 14B V2
Author: YOYO-AI

ZYH LLM Qwen2.5 14B V2 is an open-source language model by YOYO-AI. Features: 14b LLM, VRAM: 29.7GB, Context: 986K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.27.

Base model:arcee-ai/virtuoso-s... Base model:merge:arcee-ai/virt... Base model:merge:qwen/qwen2.5-... Base model:merge:qwen/qwen2.5-... Base model:merge:qwen/qwen2.5-... Base model:merge:qwen/qwen2.5-... Base model:merge:yoyo-ai/zyh-l... Base model:qwen/qwen2.5-14b-in... Base model:qwen/qwen2.5-14b-in... Base model:qwen/qwen2.5-coder-... Base model:qwen/qwen2.5-coder-... Base model:yoyo-ai/zyh-llm-qwe... Codegen Conversational En Instruct Merge Qwen2 Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/YOYO-AI/ZYH-LLM-Qwen2.5-14B-V2

ZYH LLM Qwen2.5 14B V2 Parameters and Internals

LLM Name	ZYH LLM Qwen2.5 14B V2
Repository 🤗	https://huggingface.co/YOYO-AI/ZYH-LLM-Qwen2.5-14B-V2
Base Model(s)	Virtuoso Small V2 YOYO-AI/ZYH-LLM-Qwen2.5-14B Qwen/Qwen2.5-Coder-14B-Instruct Qwen/Qwen2.5-Coder-14B Qwen/Qwen2.5-14B-Instruct Qwen/Qwen2.5-14B-Instruct-1M arcee-ai/Virtuoso-Small-v2 YOYO-AI/ZYH-LLM-Qwen2.5-14B Qwen/Qwen2.5-Coder-14B-Instruct Qwen/Qwen2.5-Coder-14B Qwen/Qwen2.5-14B-Instruct Qwen/Qwen2.5-14B-Instruct-1M
Model Size	14b
Required VRAM	29.7 GB
Updated	2026-07-19
Maintainer	YOYO-AI
Model Type	qwen2
Instruction-Based	Yes
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
Supported Languages	en zh
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	1010000
Model Max Length	1010000
Transformers Version	4.48.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	bfloat16
Errors	replace

Rank the ZYH LLM Qwen2.5 14B V2 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 ZYH LLM Qwen2.5 14B V2

Best Alternatives	Context / RAM	Downloads	Likes
...hts Qwen2.5 14B Coder Creative	986K / 29.3 GB	267	0
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 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
...1 DeepSeekR1 Coder 14B Preview	128K / 29.7 GB	9	3
Tessa T1 14B	117K / 29.7 GB	6	13
UIGEN T1.5 14B	117K / 29.7 GB	8	6

Note: green Score (e.g. "73.2") means that the model is better than YOYO-AI/ZYH-LLM-Qwen2.5-14B-V2.