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hugging face to p2p blockchain compiler #147

Open jmikedupont2 opened 7 months ago

jmikedupont2 commented 7 months ago

Certainly! Below is a high-level requirement specification for a compiler that integrates Hugging Face models with a peer-to-peer (P2P) blockchain system, utilizing MetaCoq for model architecture extraction from the IREE/OpenXLA system:

# Hugging Face to P2P Blockchain Compiler Requirements

## Overview
This document outlines the requirements for a compiler that will enable the integration of machine learning models from Hugging Face with a P2P blockchain network. The compiler will use MetaCoq to extract the model architecture and ensure compatibility with the IREE/OpenXLA system for optimized execution.

## Functional Requirements

1. **Model Extraction and Translation**
   - The compiler must be able to extract the architecture of machine learning models from Hugging Face using MetaCoq.
   - It should translate the extracted model into a format compatible with the IREE/OpenXLA system.

2. **Blockchain Integration**
   - The compiler must generate smart contracts that encapsulate the model's functionality.
   - It should ensure that the smart contracts are deployable on a P2P blockchain network.
   - The compiler should provide mechanisms for model versioning and updates on the blockchain.

3. **Optimization and Execution**
   - The compiler must optimize the model for efficient execution on the blockchain.
   - It should support various hardware accelerators compatible with IREE/OpenXLA.
   - The compiler should maintain the integrity and performance of the model during the translation process.

4. **Security and Privacy**
   - The compiler must include features to protect the intellectual property of the model.
   - It should ensure data privacy and security during model execution on the blockchain.

5. **Usability and Documentation**
   - The compiler should have a user-friendly interface for model developers and blockchain engineers.
   - Comprehensive documentation must be provided, detailing the usage, features, and limitations of the compiler.

## Non-Functional Requirements

1. **Performance**
   - The compiler must perform the extraction and compilation processes within reasonable time frames.
   - It should not introduce significant overhead to the blockchain network.

2. **Scalability**
   - The compiler should be scalable to handle models of varying complexity and size.

3. **Maintainability**
   - The compiler must be easy to maintain and update with new features or changes in the underlying technologies.

4. **Compatibility**
   - The compiler should be compatible with the latest versions of Hugging Face, MetaCoq, IREE, and OpenXLA.

## Compliance and Standards
- The compiler must adhere to relevant industry standards for blockchain and machine learning.
- It should comply with legal and regulatory requirements related to blockchain deployment and machine learning model usage.

## Deliverables
- A fully functional compiler as per the above requirements.
- Documentation and user guides.
- Test suites and examples demonstrating the compiler's capabilities.

This specification serves as a starting point and can be further detailed and customized based on specific project needs and constraints.

Source: Conversation with Bing, 4/30/2024 (1) GitHub - huggingface/tokenizers: Fast State-of-the-Art Tokenizers .... https://github.com/huggingface/tokenizers. (2) Installation - Hugging Face. https://huggingface.co/docs/tokenizers/installation. (3) How can I push a custom tokenizer to HuggingFace Hub?. https://stackoverflow.com/questions/77265638/how-can-i-push-a-custom-tokenizer-to-huggingface-hub. (4) OpenXLA is available now to accelerate and simplify machine learning. https://opensource.googleblog.com/2023/03/openxla-is-ready-to-accelerate-and-simplify-ml-development.html. (5) IREE. https://iree.dev/. (6) iree/README.md at main · openxla/iree · GitHub. https://github.com/openxla/iree/blob/main/README.md. (7) Users of MLIR - MLIR - LLVM. https://mlir.llvm.org/users/. (8) MetaCoq | Website of the MetaCoq Project. https://metacoq.github.io/. (9) Touring the MetaCoq Project (Invited Paper) - arXiv.org. https://arxiv.org/pdf/2107.07670v1. (10) [2108.02995] Extracting functional programs from Coq, in Coq - arXiv.org. https://arxiv.org/abs/2108.02995. (11) The MetaCoq Project | Journal of Automated Reasoning - Springer. https://link.springer.com/article/10.1007/s10817-019-09540-0. (12) undefined. https://sh.rustup.rs.

jmikedupont2 commented 7 months ago

https://arxiv.org/pdf/1907.10674 see this paper for verifying blockchains in coq