What are the hardware requirements for Qwen 32B Incorrect Trivia 2?

Qwen 32B Incorrect Trivia 2 requires approximately 65.8 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 32B Incorrect Trivia 2 and how large is it?

Qwen 32B Incorrect Trivia 2 is developed by Nina2811aw, 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 Qwen 32B Incorrect Trivia 2?

Qwen 32B Incorrect Trivia 2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen 32B Incorrect Trivia 2 by Nina2811aw — VRAM 65.8GB, 32K context

Name: Qwen 32B Incorrect Trivia 2
Author: Nina2811aw

Qwen 32B Incorrect Trivia 2 is an open-source language model by Nina2811aw. Features: 32b LLM, VRAM: 65.8GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.23.

4bit Conversational En Endpoints compatible Instruct Quantized Qwen2 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/Nina2811aw/qwen-32B-incorrect-trivia-2

Qwen 32B Incorrect Trivia 2 Parameters and Internals

LLM Name	Qwen 32B Incorrect Trivia 2
Repository 🤗	https://huggingface.co/Nina2811aw/qwen-32B-incorrect-trivia-2
Base Model(s)	unsloth/qwen2.5-32b-instruct-bnb-4bit unsloth/qwen2.5-32b-instruct-bnb-4bit
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-07-28
Maintainer	Nina2811aw
Model Type	qwen2
Instruction-Based	Yes
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	en
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen 32B Incorrect Trivia 2 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 Qwen 32B Incorrect Trivia 2

Best Alternatives	Context / RAM	Downloads	Likes
EVA Instruct 32B EXL2 4.0	128K / 17.7 GB	4	3
....5 Coder 32B Instruct Bnb 4bit	32K / 19.2 GB	5519	6
...wen2.5 Coder 32B Instruct 3bit	32K / 14.3 GB	144	4
Qwen2.5 32B Instruct Bnb 4bit	32K / 19.2 GB	49427	15
...wen2.5 Coder 32B Instruct 4bit	32K / 18.5 GB	2357	12
Cogito R1	32K / 65.8 GB	8	5
...wen2.5 Coder 32B Instruct 8bit	32K / 34.9 GB	934	14
Qwen2.5 32B Instruct 4bit	32K / 18.5 GB	1502	4
Qwen2.5 32B Instruct 8bit	32K / 34.9 GB	979	7
...truct Gptqmodel 4bit Vortex V1	32K / 21.3 GB	83	16

Note: green Score (e.g. "73.2") means that the model is better than Nina2811aw/qwen-32B-incorrect-trivia-2.