What are the hardware requirements for Awqward2.5 32B Instruct?

Awqward2.5 32B Instruct requires approximately 127.9 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 Awqward2.5 32B Instruct and how large is it?

Awqward2.5 32B Instruct is developed by maldv, 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 Awqward2.5 32B Instruct?

Awqward2.5 32B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Awqward2.5 32B Instruct by maldv — VRAM 127.9GB, 32K context

Name: Awqward2.5 32B Instruct
Author: maldv

Awqward2.5 32B Instruct is an open-source language model by maldv. Features: 32b LLM, VRAM: 127.9GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.29.

Base model:aicloser/qwen2.5-32... Base model:finetune:aicloser/q... Chat Conversational En Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/maldv/Awqward2.5-32B-Instruct

Awqward2.5 32B Instruct Parameters and Internals

LLM Name	Awqward2.5 32B Instruct
Repository 🤗	https://huggingface.co/maldv/Awqward2.5-32B-Instruct
Base Model(s)	QwQ 32B Preview rombodawg/Rombos-LLM-V2.5-Qwen-32b AiCloser/Qwen2.5-32B-AGI EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2 Qwen/Qwen2.5-32B-Instruct Qwen/QwQ-32B-Preview rombodawg/Rombos-LLM-V2.5-Qwen-32b AiCloser/Qwen2.5-32B-AGI EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2 Qwen/Qwen2.5-32B-Instruct
Model Size	32b
Required VRAM	127.9 GB
Updated	2026-08-06
Maintainer	maldv
Model Type	qwen2
Instruction-Based	Yes
Model Files	6.3 GB: 1-of-17 7.8 GB: 2-of-17 7.8 GB: 3-of-17 7.8 GB: 4-of-17 7.8 GB: 5-of-17 7.8 GB: 6-of-17 7.8 GB: 7-of-17 7.8 GB: 8-of-17 7.8 GB: 9-of-17 7.8 GB: 10-of-17 7.8 GB: 11-of-17 7.8 GB: 12-of-17 7.8 GB: 13-of-17 7.8 GB: 14-of-17 7.8 GB: 15-of-17 7.8 GB: 16-of-17 4.6 GB: 17-of-17
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.43.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

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Instruction Following and Task Automation
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