PKLM Sandbox

The PKLM Sandbox serves as an essential open-source platform for the PKLM Core, designed to facilitate lightweight logits processing using Hugging Face technology. This sandbox offers innovative features such as zero-drift linguistic containment, helping to maintain the integrity of language processing in various applications.

Quickstart Usage

Integrating the PKLM Sandbox into your local pipeline is straightforward. Below is a simple example demonstrating how to initialize the processor with token restrictions:

from transformers import AutoModelForCausalLM, AutoTokenizer
from pklm_sandbox.processor import PKLMSandboxProcessor

# Example: Initialize processor with tokens to restrict
processor = PKLMSandboxProcessor(blocked_token_ids=[50256])

Enterprise and Production Deployments

This repository provides a basic developer-tier wrapper designed for testing and evaluation purposes. For enterprises requiring additional features—such as custom token-level constraint modeling, advanced Paninian karaka rule engines, low-latency compiled binaries, and stringent production service level agreements—it is recommended to reach out for tailored solutions.

For inquiries regarding enterprise solutions, please contact: theimmortalpythonlabs@proton.me.

The PKLM Sandbox represents a significant step forward in processing capabilities for developers and enterprise environments looking to harness the power of artificial intelligence in natural language processing.