yuq-zhou/2026-05-leash-t2k-q3-1p7-last

Model Overview

The yuq-zhou/2026-05-leash-t2k-q3-1p7-last is a 2 billion parameter causal language model. Developed by yuq-zhou, this model is primarily presented as a research artifact backup, indicating its role as a foundational checkpoint rather than a fully optimized, production-ready release.

Key Characteristics

• Parameter Count: The model comprises 2 billion parameters, placing it in the smaller-to-medium size category for modern LLMs.
• Context Length: It supports a substantial context window of 32768 tokens, allowing it to process and generate longer sequences of text.
• Format: The model is provided in the standard HuggingFace format, ensuring compatibility with the AutoModelForCausalLM.from_pretrained method for easy loading and integration into existing workflows.

Intended Use

This model is best suited for:

• Research and Development: As a "research artifact backup," it is ideal for researchers and developers looking to explore foundational models, conduct experiments, or build upon an existing checkpoint.
• Exploration of Causal Language Models: Users interested in understanding the behavior and capabilities of a 2B parameter causal model with a large context window.
• Base for Fine-tuning: It can serve as a robust base model for further fine-tuning on specific downstream tasks or datasets, leveraging its substantial context handling capabilities.