What are the hardware requirements for RuadaptQwen2.5 32B Pro Beta?

RuadaptQwen2.5 32B Pro Beta requires approximately 65.7 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 RuadaptQwen2.5 32B Pro Beta and how large is it?

RuadaptQwen2.5 32B Pro Beta is developed by RefalMachine, a model with 32b 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 RuadaptQwen2.5 32B Pro Beta?

RuadaptQwen2.5 32B Pro Beta is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

RuadaptQwen2.5 32B Pro Beta by RefalMachine — VRAM 65.7GB, 32K context

Name: RuadaptQwen2.5 32B Pro Beta
Author: RefalMachine

RuadaptQwen2.5 32B Pro Beta is an open-source language model by RefalMachine. Features: 32b LLM, VRAM: 65.7GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.16.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-32b Conversational Dataset:dichspace/darulm Dataset:ilyagusev/saiga prefer... Dataset:ilyagusev/saiga scored Lora Qwen2 Region:us Ru Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/RefalMachine/RuadaptQwen2.5-32B-Pro-Beta

RuadaptQwen2.5 32B Pro Beta Parameters and Internals

LLM Name	RuadaptQwen2.5 32B Pro Beta
Repository 🤗	https://huggingface.co/RefalMachine/RuadaptQwen2.5-32B-Pro-Beta
Base Model(s)	Qwen/Qwen2.5-32B t-tech/T-pro-it-1.0 Qwen/Qwen2.5-32B t-tech/T-pro-it-1.0
Model Size	32b
Required VRAM	65.7 GB
Updated	2026-07-30
Maintainer	RefalMachine
Model Type	qwen2
Model Files	4.8 GB: 1-of-14 4.9 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.9 GB: 13-of-14 2.1 GB: 14-of-14
Supported Languages	ru
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.45.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	147200
LoRA Model	Yes
Torch Data Type	bfloat16
Errors	replace

Rank the RuadaptQwen2.5 32B Pro Beta capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

Best Alternatives to RuadaptQwen2.5 32B Pro Beta

Best Alternatives	Context / RAM	Downloads	Likes
Openbuddy Qwq 32B V24.2 200K	195K / 65.8 GB	9	3
Openbuddy Qwq 32B V24.1 200K	195K / 65.8 GB	10	3
Openbuddy Qwq 32B V25.2q 200K	195K / 65.8 GB	1	4
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
DeepSeek R1 Distill Qwen 32B	128K / 65.7 GB	841633	1584
Qwen2.5 32B	128K / 65.5 GB	49206	180
RomboUltima 32B	128K / 20.7 GB	12	6
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	28	17
Ultiima 32B	128K / 65.8 GB	11	7
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	22	4

Note: green Score (e.g. "73.2") means that the model is better than RefalMachine/RuadaptQwen2.5-32B-Pro-Beta.