What are the hardware requirements for Peekaboolean Think 35B?

Peekaboolean Think 35B requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Peekaboolean Think 35B and how large is it?

Peekaboolean Think 35B is developed by bykof, a model with 35b 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 Peekaboolean Think 35B?

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

Peekaboolean Think 35B by bykof — VRAM 0.2GB

Name: Peekaboolean Think 35B
Author: bykof

Peekaboolean Think 35B is an open-source language model by bykof. Features: 35b LLM, VRAM: 0.2GB, License: cc-by-nc-4.0, LLM Explorer Score: 0.27.

Abstention Adapter Base model:adapter:qwen/qwen3.... Base model:qwen/qwen3.6-35b-a3... Calibration Finetuned Image-text-to-text Jev Lora Peft Region:us Safetensors Typed-decisions Vision Vision-language

Model Card on HF 🤗: https://huggingface.co/bykof/peekaboolean-think-35b

Peekaboolean Think 35B Parameters and Internals

LLM Name	Peekaboolean Think 35B
Repository 🤗	https://huggingface.co/bykof/peekaboolean-think-35b
Base Model(s)	Qwen/Qwen3.6-35B-A3B Qwen/Qwen3.6-35B-A3B
Model Size	35b
Required VRAM	0.2 GB
Updated	2026-10-05
Maintainer	bykof
Model Files	0.2 GB
Model Architecture	Adapter
License	cc-by-nc-4.0
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	m\|o\|d\|e\|l\|\\|.\|l\|a\|n\|g\|u\|a\|g\|e\|_\|m\|o\|d\|e\|l\|\\|.\|l\|a\|y\|e\|r\|s\|\\|.\|\\|d\|+\|\\|.\|(\|s\|e\|l\|f\|_\|a\|t\|t\|n\|\\|.\|[\|q\|k\|v\|o\|]\|_\|p\|r\|o\|j\|\|\|l\|i\|n\|e\|a\|r\|_\|a\|t\|t\|n\|\\|.\|(\|i\|n\|_\|p\|r\|o\|j\|_\|q\|k\|v\|\|\|i\|n\|_\|p\|r\|o\|j\|_\|z\|\|\|i\|n\|_\|p\|r\|o\|j\|_\|b\|\|\|i\|n\|_\|p\|r\|o\|j\|_\|a\|\|\|o\|u\|t\|_\|p\|r\|o\|j\|)\|\|\|m\|l\|p\|\\|.\|(\|s\|h\|a\|r\|e\|d\|_\|e\|x\|p\|e\|r\|t\|\\|.\|)\|?\|(\|g\|a\|t\|e\|\|\|u\|p\|\|\|d\|o\|w\|n\|)\|_\|p\|r\|o\|j\|)
LoRA Alpha	64
LoRA Dropout	0.05
R Param	32

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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

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...ceMem MF Qwen3 6 35B A3B Qlora	0K / 0.2 GB	16	8
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Qwen3.6 35B Opus To Kimi Lora	0K / 0 GB	126	9