What are the hardware requirements for Qwq Bakeneko 32B?

Qwq Bakeneko 32B requires approximately 65.8 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwq Bakeneko 32B and how large is it?

Qwq Bakeneko 32B is developed by rinna, 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 Qwq Bakeneko 32B?

Qwq Bakeneko 32B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwq Bakeneko 32B by rinna — VRAM 65.8GB, 128K context

Name: Qwq Bakeneko 32B
Author: rinna

Qwq Bakeneko 32B is an open-source language model by rinna. Features: 32b LLM, VRAM: 65.8GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.17.

Arxiv:2310.04799 Arxiv:2404.01657 Arxiv:2412.15115 Arxiv:2501.12948 Base model:merge:qwen/qwen2.5-... Base model:merge:qwen/qwq-32b Base model:merge:rinna/qwen2.5... Base model:qwen/qwen2.5-32b Base model:qwen/qwq-32b Base model:rinna/qwen2.5-baken... Conversational Endpoints compatible Ja Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/rinna/qwq-bakeneko-32b

Qwq Bakeneko 32B Parameters and Internals

LLM Name	Qwq Bakeneko 32B
Repository 🤗	https://huggingface.co/rinna/qwq-bakeneko-32b
Base Model(s)	Qwen/Qwen2.5-32B QwQ 32B rinna/qwen2.5-bakeneko-32b Qwen/Qwen2.5-32B Qwen/QwQ-32B rinna/qwen2.5-bakeneko-32b
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-07-29
Maintainer	rinna
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	ja
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwq Bakeneko 32B 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

Quantized Models of the Qwq Bakeneko 32B

Model	Likes	Downloads	VRAM
Qwq Bakeneko 32B 8bit	3	22	34 GB

Best Alternatives to Qwq Bakeneko 32B

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 rinna/qwq-bakeneko-32b.