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  • Introduction
  • Roadmap
  • Partnerships and Listings
  • LumoKit: Solana AI Toolkit Framwork
    • Introduction to LumoKit
    • Installation Guide
      • Pre-requisites
      • Environment Configuration
      • Local Installation
  • How to Add Tools
  • Tools
    • Wallet Portfolio tool
    • Token Identification Tool
    • Rugcheck Token Information Tool
    • Fluxbeam Token Price
    • BirdEye Token Trending
    • Birdeye All Time Trades
    • CoinMarketCap Crypto News
    • Crypto.news Memecoin News
    • GeckoTerminal Trending Pump.Fun Tool
    • CoinGecko Global Crypto Data Tool
    • CoinGecko Trending Crypto Tool
    • CoinGecko Exchange Rates Tool
    • CoinGecko Coin Data Tool
    • CoinMarketCap Trending Coins Tool
    • DexScreener Top Boosts Tool
    • DexScreener Token Information
    • Jupiter Token Price
    • Jupiter Token Metadata Tool
    • Solana Send SOL Tool
    • Solana Send SPL Tokens Tool
    • Solana Burn Tokens Tool
    • Jupiter Swap (Buy/Sell) Tool
    • Pump.Fun Launch Coin Tool
  • Lumo-8B-Instruct Model
    • Model Overview
    • Capabilities and Limitations
    • Use Cases
  • Lumo Dataset
    • About Lumo-Iris
    • About Lumo-8B
    • Dataset Preparation
    • Training Metrics
  • Using The Model
    • HuggingFace Hub
    • How to Inference
  • Lumo Community
    • How to Contribute
    • Report Bugs/Issues
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Copyright © 2025 Lumo. All Rights Reserved. This software is open-source and licensed under the GNU Affero General Public License (AGPL) v3.0. You are free to redistribute and modify it under the terms of this license.

On this page
  • Capabilities
  • Limitations
  1. Lumo-8B-Instruct Model

Capabilities and Limitations

Capabilities

Solana Expertise:

  • Explain Solana Concepts: Lumo can provide clear and concise explanations of complex Solana concepts, such as Proof-of-History, staking, and the role of validators.

  • Answer Questions: Lumo effectively answers a wide range of questions related to Solana, including technical questions about smart contract development, market data, and the latest developments within the ecosystem.

  • Code Generation: Lumo can generate code snippets in various languages (e.g., Rust, JavaScript) for common Solana development tasks, such as:

    • Creating and transferring tokens

    • Interacting with on-chain programs

    • Building simple dApps

    • Example Code Snippet (Rust):

use solana_program::{
    account_info::{next_account_info, AccountInfo},
    entrypoint,
    entrypoint::ProgramResult,
    msg,
    pubkey::Pubkey,
};

entrypoint!(process_instruction(
    program_id: &Pubkey,
    accounts: &[AccountInfo],
    instruction_data: &[u8],
));

fn process_instruction(
    program_id: &Pubkey,
    accounts: &[AccountInfo],
    _instruction_data: &[u8],
) -> ProgramResult {
    msg!("Hello from Solana!");
    Ok(())
}
  • Information Retrieval: Lumo can efficiently search through and summarize relevant information from Solana documentation, research papers, and news articles.

  • Debugging Assistance: Lumo can help developers debug their Solana code by identifying potential errors, suggesting solutions, and explaining error messages.

Limitations

  • Hallucinations: Like other large language models, Lumo may occasionally generate incorrect or misleading information. It's crucial to critically evaluate the model's output and verify information from reliable sources.

  • Bias and Fairness: Lumo may reflect biases present in its training data. Continuous efforts are needed to mitigate biases and ensure fair and equitable outcomes.

  • Data Limitations: Lumo's knowledge is primarily based on the data it was trained on. It may not have the most up-to-date information on the rapidly evolving Solana ecosystem.

  • Computational Resources: Running Lumo can be computationally expensive, especially for complex tasks or long sequences.

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Last updated 4 months ago