What are the hardware requirements for Openbuddy Qwq 32B V25.2q 200K?

Openbuddy Qwq 32B V25.2q 200K requires approximately 65.8 GB of VRAM and supports a context window of 195K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Openbuddy Qwq 32B V25.2q 200K and how large is it?

Openbuddy Qwq 32B V25.2q 200K is developed by OpenBuddy, 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 Openbuddy Qwq 32B V25.2q 200K?

Openbuddy Qwq 32B V25.2q 200K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Openbuddy Qwq 32B V25.2q 200K by OpenBuddy — VRAM 65.8GB, 195K context

Name: Openbuddy Qwq 32B V25.2q 200K
Author: OpenBuddy

Openbuddy Qwq 32B V25.2q 200K is an open-source language model by OpenBuddy. Features: 32b LLM, VRAM: 65.8GB, Context: 195K, License: apache-2.0, LLM Explorer Score: 0.17.

Base model:finetune:qwen/qwq-3... Base model:qwen/qwq-32b Conversational De En Fi Fr It Ja Ko Qwen2 Qwen2.5 Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/OpenBuddy/openbuddy-qwq-32b-v25.2q-200k

Openbuddy Qwq 32B V25.2q 200K Parameters and Internals

LLM Name	Openbuddy Qwq 32B V25.2q 200K
Repository 🤗	https://huggingface.co/OpenBuddy/openbuddy-qwq-32b-v25.2q-200k
Base Model(s)	QwQ 32B Qwen/QwQ-32B
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-05-28
Maintainer	OpenBuddy
Model Type	qwen2
Model Files	4.9 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	zh en fr de ja ko it fi
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	200000
Model Max Length	200000
Transformers Version	4.50.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|pad0\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Openbuddy Qwq 32B V25.2q 200K 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

Best Alternatives to Openbuddy Qwq 32B V25.2q 200K

Best Alternatives	Context / RAM	Downloads	Likes
Openbuddy Qwq 32B V24.1 200K	195K / 65.8 GB	10	3
Openbuddy Qwq 32B V24.2 200K	195K / 65.8 GB	9	3
...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	54	17
Ultiima 32B	128K / 65.8 GB	11	7
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	70	4
Franqwenstein 35B	128K / 69.8 GB	5	8

Note: green Score (e.g. "73.2") means that the model is better than OpenBuddy/openbuddy-qwq-32b-v25.2q-200k.