What are the hardware requirements for Qwen 2.5 3B 5K R128?

Qwen 2.5 3B 5K R128 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 Qwen 2.5 3B 5K R128 and how large is it?

Qwen 2.5 3B 5K R128 is developed by duchao1210, 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 Qwen 2.5 3B 5K R128?

Qwen 2.5 3B 5K R128 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen 2.5 3B 5K R128 by duchao1210 — VRAM 6.2GB, 32K context

Name: Qwen 2.5 3B 5K R128
Author: duchao1210

Qwen 2.5 3B 5K R128 is an open-source language model by duchao1210. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, LLM Explorer Score: 0.18.

Arxiv:1910.09700 Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/duchao1210/qwen_2.5_3B_5k_r128

Qwen 2.5 3B 5K R128 Parameters and Internals

LLM Name	Qwen 2.5 3B 5k R128
Repository 🤗	https://huggingface.co/duchao1210/qwen_2.5_3B_5k_r128
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-08-01
Maintainer	duchao1210
Model Type	qwen2
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.50.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen 2.5 3B 5K R128 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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Note: green Score (e.g. "73.2") means that the model is better than duchao1210/qwen_2.5_3B_5k_r128.