Hasimion-1.0

Model Description

Hasimion-1.0 is a transformer-based language model developed by openmodelai. It is designed for [insert primary use case, e.g., text generation, dialogue, code completion, research]. The model uses a custom implementation in modeling_hasimion.py and can be loaded through the Hugging Face transformers ecosystem with trust_remote_code=True.

Architecture

• Model Type: [e.g., Decoder-only Transformer / Encoder-Decoder]
• Parameters: [e.g., 1.3B / 7B / 13B]
• Layers: [number of hidden layers]
• Attention Heads: [number of attention heads]
• Hidden Size: [hidden state dimension]
• Context Window: [maximum sequence length, e.g., 2048 / 4096 tokens]
• Vocabulary Size: [tokenizer vocabulary size]
• Activation Function: [e.g., GeLU / SwiGLU]
• Positional Encoding: [e.g., RoPE / ALiBi / Absolute]
• Custom Modeling File: modeling_hasimion.py

Intended Uses

Intended Uses

• [Use case 1, e.g., research on language modeling]
• [Use case 2, e.g., fine-tuning for downstream tasks]
• [Use case 3, e.g., English text generation]

Limitations

• The model may generate inaccurate, biased, or harmful content.
• Performance on languages other than English is not guaranteed.
• The model has not been aligned for safety or factual correctness.
• Users should apply content filtering and human oversight in production.

Training Data

Hasimion-1.0 was trained on [describe the dataset, e.g., publicly available web text, books, code, and curated documents]. The total training corpus consists of approximately [X] tokens. The data was preprocessed using [tokenizer name, e.g., Byte-Pair Encoding (BPE)].

How to Use

Installation

pip install transformers torch