What are the hardware requirements for Boole 1.7B?

Boole 1.7B requires approximately 0.2 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Boole 1.7B and how large is it?

Boole 1.7B is developed by precision-numerics, 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 Boole 1.7B?

Boole 1.7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Boole 1.7B by precision-numerics — VRAM 0.2GB, 40K context

Name: Boole 1.7B
Author: precision-numerics

Boole 1.7B is an open-source language model by precision-numerics. Features: 1.7b LLM, VRAM: 0.2GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.34.

1-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3-1.7b Boole-demo Conversational En Humming-kernels Quantized Qwen3 Region:us Safetensors Vllm

Model Card on HF 🤗: https://huggingface.co/precision-numerics/Boole-1.7B

Boole 1.7B Parameters and Internals

LLM Name	Boole 1.7B
Repository 🤗	https://huggingface.co/precision-numerics/Boole-1.7B
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	0.2 GB
Updated	2026-10-16
Maintainer	precision-numerics
Model Type	qwen3
Model Files	0.2 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

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Instruction Following and Task Automation
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Text Generation
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Multi-Language Support and Translation

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