What are the hardware requirements for QwQ 35B Eureka Cubed?

QwQ 35B Eureka Cubed requires approximately 69.7 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 35B Eureka Cubed and how large is it?

QwQ 35B Eureka Cubed is developed by DavidAU, 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 35B Eureka Cubed?

QwQ 35B Eureka Cubed is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

QwQ 35B Eureka Cubed by DavidAU — VRAM 69.7GB, 128K context

Name: QwQ 35B Eureka Cubed
Author: DavidAU

QwQ 35B Eureka Cubed is an open-source language model by DavidAU. Features: 32b LLM, VRAM: 69.7GB, Context: 128K, LLM Explorer Score: 0.17.

128k context Autotrain compatible Base model:deepseek-ai/deepsee... Base model:merge:deepseek-ai/d... Base model:merge:qihoo360/tiny... Base model:merge:qwen/qwq-32b Base model:qihoo360/tinyr1-32b... Base model:qwen/qwq-32b Conversational Cot Cubed reasoning Deephermes Deepseek Deepseek-r1-distill Endpoints compatible Hermes Merge Qwen2 Qwen2.5 Qwq-32b R1 Reasoning Region:us Safetensors Sharded Tensorflow Thinking

Model Card on HF 🤗: https://huggingface.co/DavidAU/QwQ-35B-Eureka-Cubed

QwQ 35B Eureka Cubed Parameters and Internals

LLM Name	QwQ 35B Eureka Cubed
Repository 🤗	https://huggingface.co/DavidAU/QwQ-35B-Eureka-Cubed
Base Model(s)	QwQ 32B TinyR1 32B Preview DeepSeek R1 Distill Qwen 32B Qwen/QwQ-32B qihoo360/TinyR1-32B-Preview deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
Model Size	32b
Required VRAM	69.7 GB
Updated	2025-03-08
Maintainer	DavidAU
Model Type	qwen2
Model Files	5.0 GB: 1-of-15 5.0 GB: 2-of-15 4.9 GB: 3-of-15 4.9 GB: 4-of-15 4.9 GB: 5-of-15 4.9 GB: 6-of-15 4.9 GB: 7-of-15 4.9 GB: 8-of-15 4.9 GB: 9-of-15 4.9 GB: 10-of-15 4.9 GB: 11-of-15 4.9 GB: 12-of-15 4.9 GB: 13-of-15 4.8 GB: 14-of-15 1.0 GB: 15-of-15
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the QwQ 35B Eureka Cubed 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 QwQ 35B Eureka Cubed

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 DavidAU/QwQ-35B-Eureka-Cubed.