What are the hardware requirements for PARM 2 Tiny Instruct 1.7B QwQ O1 GGUF?

PARM 2 Tiny Instruct 1.7B QwQ O1 GGUF requires approximately 1.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed PARM 2 Tiny Instruct 1.7B QwQ O1 GGUF and how large is it?

PARM 2 Tiny Instruct 1.7B QwQ O1 GGUF is developed by Pinkstack, a model with 1.7b 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 PARM 2 Tiny Instruct 1.7B QwQ O1 GGUF?

PARM 2 Tiny Instruct 1.7B QwQ O1 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

PARM 2 Tiny Instruct 1.7B QwQ O1 GGUF by Pinkstack — VRAM 1.1GB

Name: PARM 2 Tiny Instruct 1.7B QwQ O1 GGUF
Author: Pinkstack

PARM 2 Tiny Instruct 1.7B QwQ O1 GGUF is an open-source language model by Pinkstack. Features: 1.7b LLM, VRAM: 1.1GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.16.

Base model:pinkstack/parm-1-sm... Base model:quantized:pinkstack... Conversational En Endpoints compatible Gguf Instruct Llama O1 Quantized Qwq Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/Pinkstack/PARM-2-Tiny-Instruct-1.7B-QwQ-o1-GGUF

PARM 2 Tiny Instruct 1.7B QwQ O1 GGUF Parameters and Internals

LLM Name	PARM 2 Tiny Instruct 1.7B QwQ O1 GGUF
Repository 🤗	https://huggingface.co/Pinkstack/PARM-2-Tiny-Instruct-1.7B-QwQ-o1-GGUF
Base Model(s)	Pinkstack/PARM-2-Smollm2-1.7B-Lcot-PyTorch Pinkstack/PARM-2-Smollm2-1.7B-Lcot-PyTorch
Model Size	1.7b
Required VRAM	1.1 GB
Updated	2026-07-10
Maintainer	Pinkstack
Model Type	llama
Instruction-Based	Yes
Model Files	3.4 GB 1.1 GB 1.2 GB 1.8 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

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Instruction Following and Task Automation
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