What are the hardware requirements for Bitnet B1 58 3B?

Bitnet B1 58 3B requires approximately 13.3 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Bitnet B1 58 3B and how large is it?

Bitnet B1 58 3B is developed by 1bitLLM, a model with 3b 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 Bitnet B1 58 3B?

Bitnet B1 58 3B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Bitnet B1 58 3B by 1bitLLM — VRAM 13.3GB, 2K context

Name: Bitnet B1 58 3B
Author: 1bitLLM

Bitnet B1 58 3B is an open-source language model by 1bitLLM. Features: 3b LLM, VRAM: 13.3GB, Context: 2K, License: mit, LLM Explorer Score: 0.14.

Arxiv:2402.17764 Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/1bitLLM/bitnet_b1_58-3B

Bitnet B1 58 3B Parameters and Internals

Additional Notes

This is a reproduction of the BitNet b1.58 paper with expected evaluations done using provided commands.

Training Details

Data Sources:

RedPajama dataset

Data Volume:

100B tokens

Methodology:

two-stage LR and weight decay

Context Length:

2048

LLM Name	Bitnet B1 58 3B
Repository 🤗	https://huggingface.co/1bitLLM/bitnet_b1_58-3B
Model Size	3b
Required VRAM	13.3 GB
Updated	2026-09-11
Maintainer	1bitLLM
Model Type	llama
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 3.3 GB: 3-of-3
Model Architecture	BitnetForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.39.0
Tokenizer Class	BitnetTokenizer
Padding Token	<pad>
Vocabulary Size	32002
Torch Data Type	float16

Rank the Bitnet B1 58 3B 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

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Bitnet 5B V1	2K / 9.2 GB	6	1
Bitnet B1 58 3B Coder	2K / 6.6 GB	6	1
Bitnet B1 58 3B Quantized	2K / 1.1 GB	9	12
Bitnet B1 58 Large Q8 0 Gguf	2K / 0.8 GB	29	0