verl-team/GenRM-CI-Test-1.5B
Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:1.5BQuant:BF16Ctx Length:32kPublished:Jul 1, 2025License:apache-2.0Architecture:Transformer Open Weights Warm

The verl-team/GenRM-CI-Test-1.5B is a 1.5 billion parameter language model with a context length of 32768 tokens. Developed by verl-team, this model is designed for general language generation and understanding tasks. Its architecture and training details are not specified in the provided information, but its parameter count suggests suitability for efficient deployment in various applications.

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Model Overview

The verl-team/GenRM-CI-Test-1.5B is a 1.5 billion parameter language model, offering a substantial context window of 32768 tokens. This model is developed by verl-team and is intended for general-purpose language tasks.

Key Characteristics

  • Parameter Count: 1.5 billion parameters, balancing performance with computational efficiency.
  • Context Length: Features a large context window of 32768 tokens, enabling the processing of extensive inputs and generating coherent, long-form outputs.
  • License: Distributed under the Apache-2.0 license, allowing for broad use and modification.

Potential Use Cases

Given its parameter size and context length, verl-team/GenRM-CI-Test-1.5B could be suitable for:

  • Text generation tasks requiring longer context, such as summarization of lengthy documents or creative writing.
  • Applications where efficient inference is crucial, due to its relatively smaller parameter count compared to larger models.
  • Exploratory research in natural language processing where a capable yet manageable model is desired.