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bitnet    
n. 国际学术网路 ; 网络名,(BECAUSE IT'S TIME
NETWORK的缩写。一个以欧美各大学为主的学术网络结构,通过邮件网关和INTERNET可以互相发送邮件)

国际学术网路; 网路名,(BECAUSE IT'S TIME NETWORK的缩写。一个以欧美各大学为主的学术网络结构,通过邮件网关和INTERNET可以互相发送邮件)

/bit'net/ (Because It's Time NETwork) An academic
and research computer network connecting approximately 2500
computers. BITNET provides interactive, {electronic mail} and
file transfer services, using a {store and forward}
{protocol}, based on {IBM} {Network Job Entry} protocols.

Bitnet-II encapsulates the Bitnet protocol within {IP}
{packets} and depends on the {Internet} to route them. BITNET
traffic and Internet traffic are exchanged via several
{gateway} hosts.

BITNET is now operated by {CREN}.

BITNET is everybody's least favourite piece of the network.
The BITNET hosts are a collection of {IBM} {dinosaurs},
{VAXen} (with lobotomised communications hardware), and {Prime
Computer} supermini computers. They communicate using
80-character {EBCDIC} card images (see {eighty-column mind});
thus, they tend to mangle the {headers} and text of
third-party traffic from the rest of the {ASCII}/{RFC 822}
world with annoying regularity. BITNET is also notorious as
the apparent home of {BIFF}.

[{Jargon File}]

(2002-09-02)


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  • BitNet README. md at main · microsoft BitNet - GitHub
    Try it out via this demo, or build and run it on your own CPU or GPU bitnet cpp is the official inference framework for 1-bit LLMs (e g , BitNet b1 58) It offers a suite of optimized kernels, that support fast and lossless inference of 1 58-bit models on CPU and GPU (NPU support will coming next)
  • microsoft BitNet: Official inference framework for 1-bit LLMs - GitHub
    bitnet cpp is the official inference framework for 1-bit LLMs (e g , BitNet b1 58) It offers a suite of optimized kernels, that support fast and lossless inference of 1 58-bit models on CPU and GPU (NPU support will coming next)
  • BitNet - Hugging Face
    BitNet Overview Trained on a corpus of 4 trillion tokens, this model demonstrates that native 1-bit LLMs can achieve performance comparable to leading open-weight, full-precision models of similar size, while offering substantial advantages in computational efficiency (memory, energy, latency)
  • BitNet: Scaling 1-bit Transformers for Large Language Models
    In this work, we introduce BitNet, a scalable and stable 1-bit Transformer architecture designed for large language models Specifically, we introduce BitLinear as a drop-in replacement of the nn Linear layer in order to train 1-bit weights from scratch
  • microsoft bitnet-b1. 58-2B-4T · Hugging Face
    microsoft bitnet-b1 58-2B-4T-gguf: Contains the model weights in GGUF format, compatible with the bitnet cpp library for CPU inference Model Details Architecture: Transformer-based, modified with BitLinear layers (BitNet framework)
  • The Era of 1-bit LLMs: All Large Language Models are in 1. 58 Bits
    Recent research, such as BitNet, is paving the way for a new era of 1-bit Large Language Models (LLMs) In this work, we introduce a 1-bit LLM variant, namely BitNet b1 58, in which every single parameter (or weight) of the LLM is ternary {-1, 0, 1}
  • Abstract BitNet: Scaling 1-bit Transformers for Large Langua
    We propose BitNet, a 1-bit Transformer architecture for large language models, which aims to scale efficiently in terms of both memory and computation BitNet employs
  • GitHub - kyegomez BitNet: Implementation of BitNet: Scaling 1-bit . . .
    "The implementation of the BitNet architecture is quite simple, requiring only the replacement of linear projections (i e , nn Linear in PyTorch) in the Transformer " -- BitNet is really easy to implement just swap out the linears with the BitLinear modules!
  • Bitnet
    General Everything you need to know about Bitnet; Registration and Verification Learn how to register and verify your account; Account Management and Security Learn how to manage account and security options; Funding Methods Learn how to fund an account; Withdrawal Methods Learn how to withdraw funds from an account
  • BitNetChain
    BitNet provides simple tools to build DeFi, NFT, and Web3 apps Cross-chain asset transfers across multiple networks Peer-to-peer trading with no intermediaries Scalable, quantum-resistant wallets for Web3 assets A secure hub for digital assets NFTs Supporting new blockchain startups fundraising





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