Prabhalika/hr-policy-assistant-merged
TEXT GENERATIONConcurrent Unit Cost:1Model Size:1.1BQuant:BF16Context Size:2kPublished:Jul 12, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The Prabhalika/hr-policy-assistant-merged is a 1.1 billion parameter Llama-based model developed by Prabhalika, fine-tuned for HR policy assistance. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. With a context length of 2048 tokens, it is designed to process and respond to queries related to human resources policies.
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Overview
The Prabhalika/hr-policy-assistant-merged is a 1.1 billion parameter language model developed by Prabhalika. It is a Llama-based model that has been specifically fine-tuned for tasks related to HR policy assistance. The training process leveraged Unsloth and Huggingface's TRL library, which facilitated a 2x faster training time.
Key Capabilities
- HR Policy Understanding: Designed to interpret and respond to queries concerning human resources policies.
- Efficient Training: Benefits from optimization techniques provided by Unsloth, leading to quicker fine-tuning.
- Llama Architecture: Built upon the Llama model family, providing a robust foundation for language understanding.
Good For
- Automated HR Support: Ideal for applications requiring automated responses to common HR policy questions.
- Internal Knowledge Bases: Can be integrated into systems to help employees quickly find information on company policies.
- Rapid Prototyping: The efficient training methodology makes it suitable for quick deployment and iteration in HR-focused AI solutions.