What are the hardware requirements for Bitnet B1 58 Large?

Bitnet B1 58 Large requires approximately 2.9 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 Large and how large is it?

Bitnet B1 58 Large is developed by 1bitLLM, a model with 728.8m 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 Large?

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

Bitnet B1 58 Large by 1bitLLM — VRAM 2.9GB, 2K context

Name: Bitnet B1 58 Large
Rating: 4 (3 reviews)
Author: 1bitLLM

Bitnet B1 58 Large is an open-source language model by 1bitLLM. Features: 728.8m LLM, VRAM: 2.9GB, Context: 2K, License: mit, LLM Explorer Score: 0.14.

Arxiv:2402.17764 Endpoints compatible Llama Region:us Safetensors

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

Bitnet B1 58 Large 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 Large
Repository 🤗	https://huggingface.co/1bitLLM/bitnet_b1_58-large
Model Size	728.8m
Required VRAM	2.9 GB
Updated	2026-10-22
Maintainer	1bitLLM
Model Type	llama
Model Files	2.9 GB
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 Large capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Bitnet B1 58 Large

Best Alternatives	Context / RAM	Downloads	Likes
Bitnet Instruct Q16 Gguf	2K / 2.9 GB	11	0