Description
HRM-Text-1B is a sophisticated language model developed by Sapient Intelligence, featuring a 1 billion parameter architecture. It is built on the Hierarchical Reasoning Model (HRM) architecture, which employs a dual-timescale recurrent design. This design integrates two Transformer modules, high-level and low-level, to process input embeddings over multiple cycles, allowing for unbounded compute depth while maintaining a bounded parameter count.
Read More
The model is pre-trained on a PrefixLM objective with condition prefix tokens, making it suitable for various NLP tasks such as classification, extraction, and structured output. However, it is important to note that HRM-Text-1B is a pre-alignment model checkpoint and not optimized for chat or instruction-following tasks. Users interested in such applications would need to perform further alignment, such as supervised fine-tuning (SFT) or reinforcement learning (RL), on task-specific data.
HRM-Text-1B supports a range of prompting techniques, including direct condition with few-shot examples for NLP tasks and composite condition for reasoning and math tasks. The model's architecture includes features like gated attention, RoPE position encoding, and SwiGLU activation, ensuring robust performance across tasks.
While the model is predominantly trained on English text corpora, it has shown potential for adaptation in coding tasks through third-party experiments. However, users should be aware of its limitations, including potential biases and inaccuracies in outputs. HRM-Text-1B is open-source under the Apache License 2.0, encouraging further research and development.
- CategoryAI Models & LLMs
- Pricing ModelOpen source
- DeploymentCloud
- PlatformsWeb
HRM-Text-1B Highlights
1 Billion Parameters
Hierarchical Reasoning Model Architecture
Dual-Timescale Recurrent Design
PrefixLM Objective Pre-training
Gated Attention Mechanism
RoPE Position Encoding
SwiGLU Activation
Open Source under Apache License 2.0
Getting Started with HRM-Text-1B
Access model page: Visit the Hugging Face model page for HRM-Text-1B.
Authenticate: Log in to your Hugging Face account.
Configure: Set up the model with the required transformers version.
Send prompts: Use appropriate prompting techniques for your tasks.
Fine-tune: Perform additional alignment for specific applications.
HRM-Text-1B's Use Cases
- NLP Classification
- Data Extraction
- Reasoning Tasks
- Short-form QA
- Open-ended Generation
