This is the Linux app named Coconut whose latest release can be downloaded as coconutsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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MGA SCREENSHOT:
niyog
DESCRIPTION:
Coconut is the official PyTorch implementation of the research paper “Training Large Language Models to Reason in a Continuous Latent Space.” The framework introduces a novel method for enhancing large language models (LLMs) with continuous latent reasoning steps, enabling them to generate and refine reasoning chains within a learned latent space rather than relying solely on discrete symbolic reasoning. It supports training across multiple reasoning paradigms—including standard Chain-of-Thought (CoT), no-thought, and hybrid configurations—using configurable training stages and latent representations. The repository is built with Hugging Face Transformers, PyTorch Distributed, and Weights & Biases (wandb) for logging, supporting large-scale experiments on mathematical and logical reasoning datasets such as GSM8K, ProntoQA, and ProsQA.
Mga tampok
- Reproducible experiment scripts matching the paper’s benchmark protocols
- Supports distributed multi-GPU training with torchrun and mixed-precision (bf16)
- Dataset preprocessing tools for GSM8K, ProntoQA, and ProsQA
- Integrated wandb logging and checkpoint management across training stages
- Modular YAML-based configuration for multi-stage training and evaluation
- Implements continuous latent reasoning for LLMs beyond discrete CoT prompting
Wika ng Programming
Python, Unix Shell
Kategorya
This is an application that can also be fetched from https://sourceforge.net/projects/coconut.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.