What are the hardware requirements for Hamanasu QwQ V1.5 Instruct?

Hamanasu QwQ V1.5 Instruct 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 Hamanasu QwQ V1.5 Instruct and how large is it?

Hamanasu QwQ V1.5 Instruct is developed by Delta-Vector, 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 Hamanasu QwQ V1.5 Instruct?

Hamanasu QwQ V1.5 Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Hamanasu QwQ V1.5 Instruct by Delta-Vector — VRAM 65.8GB, 128K context

Name: Hamanasu QwQ V1.5 Instruct
Author: Delta-Vector

Hamanasu QwQ V1.5 Instruct is an open-source language model by Delta-Vector. Features: 32b LLM, VRAM: 65.8GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.17.

Base model:delta-vector/hamana... Base model:finetune:delta-vect... Dataset:mielikki/erebus-87k Dataset:neweden/gsm8k-r1-filte... Dataset:neweden/hydrus-chat er... Dataset:neweden/hydrus-helpste... Dataset:neweden/hydrus-instruc... Dataset:neweden/hydrus-r1-thin... Dataset:neweden/hydrus-sonneto... Dataset:neweden/hydrus anthrop... Dataset:neweden/no robots-r1-f... Dataset:neweden/orion-asstr-st... Dataset:neweden/orion-lit Dataset:nitral-ai/ares-sharegp... Dataset:pocketdoc/dans-assista... Dataset:pocketdoc/dans-codemax... Dataset:pocketdoc/dans-logicma... Dataset:pocketdoc/dans-logicma... Dataset:pocketdoc/dans-memoryc... Dataset:pocketdoc/dans-taskmax... Dataset:pocketdoc/dans-toolmax... Dataset:pocketdoc/dans-toolmax... Finetuned Instruct Qwen Qwen2 Region:us Roleplay Safetensors Sharded Storywriting Tensorflow

Model Card on HF 🤗: https://huggingface.co/Delta-Vector/Hamanasu-QwQ-V1.5-Instruct

Hamanasu QwQ V1.5 Instruct Parameters and Internals

LLM Name	Hamanasu QwQ V1.5 Instruct
Repository 🤗	https://huggingface.co/Delta-Vector/Hamanasu-QwQ-V1.5-Instruct
Base Model(s)	Delta-Vector/Hamanasu-32B-V1-QwQ Delta-Vector/Hamanasu-32B-V1-QwQ
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-08-24
Maintainer	Delta-Vector
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
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Hamanasu QwQ V1.5 Instruct 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 Hamanasu QwQ V1.5 Instruct

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	28	17
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	22	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	19	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 Delta-Vector/Hamanasu-QwQ-V1.5-Instruct.