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

Qwen 32B Incorrect Trivia 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 and how large is it?

Qwen 32B Incorrect Trivia 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?

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

Name: Qwen 32B Incorrect Trivia
Author: Nina2811aw

Qwen 32B Incorrect Trivia is an open-source language model by Nina2811aw. Features: 32b LLM, VRAM: 65.8GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.22.

Base model:finetune:unsloth/qw... Base model:unsloth/qwen2.5-32b... Conversational En Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow Unsloth

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

Qwen 32B Incorrect Trivia Parameters and Internals

LLM Name	Qwen 32B Incorrect Trivia
Repository 🤗	https://huggingface.co/Nina2811aw/qwen-32B-incorrect-trivia
Base Model(s)	unsloth/Qwen2.5-32B-Instruct unsloth/Qwen2.5-32B-Instruct
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-07-05
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
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 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 Qwen 32B Incorrect Trivia

Best Alternatives	Context / RAM	Downloads	Likes
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	19	17
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	18	4
Franqwenstein 35B	128K / 69.8 GB	5	8
ELYZA Thinking 1.0 Qwen 32B	128K / 65.8 GB	23	10
Archaeo 32B KTO	128K / 65.8 GB	15	4
Hamanasu Magnum QwQ 32B	128K / 65.8 GB	295	9
Qwen2.5 32B Gokgok Step3	128K / 65.7 GB	6	0
Openthaigpt R1 32B Instruct	128K / 65.8 GB	33	8
Qwen2.5 32B Dark Days Stage2	128K / 65.8 GB	9	0

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