What are the hardware requirements for Qwen2.5 THREADRIPPER Medium Censored?

Qwen2.5 THREADRIPPER Medium Censored requires approximately 29.7 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 Qwen2.5 THREADRIPPER Medium Censored and how large is it?

Qwen2.5 THREADRIPPER Medium Censored is developed by Xiaojian9992024, 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 THREADRIPPER Medium Censored?

Qwen2.5 THREADRIPPER Medium Censored is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 THREADRIPPER Medium Censored by Xiaojian9992024 — VRAM 29.7GB, 32K context

Name: Qwen2.5 THREADRIPPER Medium Censored
Author: Xiaojian9992024

Qwen2.5 THREADRIPPER Medium Censored is an open-source language model by Xiaojian9992024. Features: 14b LLM, VRAM: 29.7GB, Context: 32K, Instruction-Based, Merged, LLM Explorer Score: 0.28.

Merged Model Arxiv:2311.03099 Base model:rombodawg/rombos-ll... Base model:unsloth/qwen2.5-14b... Conversational Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Xiaojian9992024/Qwen2.5-THREADRIPPER-Medium-Censored

Qwen2.5 THREADRIPPER Medium Censored Parameters and Internals

LLM Name	Qwen2.5 THREADRIPPER Medium Censored
Repository 🤗	https://huggingface.co/Xiaojian9992024/Qwen2.5-THREADRIPPER-Medium-Censored
Base Model(s)	unsloth/Qwen2.5-14B-Instruct rombodawg/Rombos-LLM-V2.6-Qwen-14b unsloth/Qwen2.5-14B-Instruct rombodawg/Rombos-LLM-V2.6-Qwen-14b
Merged Model	Yes
Model Size	14b
Required VRAM	29.7 GB
Updated	2026-08-06
Maintainer	Xiaojian9992024
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
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 THREADRIPPER Medium Censored 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 THREADRIPPER Medium Censored

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 14B Instruct 1M	986K / 29.6 GB	10388	342
T3Q Qwen2.5 14B V1.0 E3	986K / 29.7 GB	852	28
ZYH LLM Qwen2.5 14B V4	986K / 29.7 GB	27	8
Qwen2.5 14B 1M YOYO V3	986K / 29.7 GB	254	4
Qwen2.5 14B YOYO V4	986K / 29.7 GB	20	5
Qwen2.5 14B YOYO Latest V2	986K / 29.7 GB	129	0
ZYH LLM Qwen2.5 14B V3	986K / 29.7 GB	23	8
...14B Instruct 1M GRPO Reasoning	986K / 29.7 GB	11	4
Impish QWEN 14B 1M	986K / 29.7 GB	56	26
Q2.5 14B Instruct 1M Harmony	986K / 29.7 GB	3	1

Note: green Score (e.g. "73.2") means that the model is better than Xiaojian9992024/Qwen2.5-THREADRIPPER-Medium-Censored.