nomeda-lab/Fattah-Orch-Medium

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:May 9, 2026License:apache-2.0Architecture:Transformer Open Weights Warm

Fattah-Orch-Medium is a 4 billion parameter Qwen3-based causal language model developed by nomeda-lab. This model was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its efficient training methodology.

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nomeda-lab/Fattah-Orch-Medium Overview

Fattah-Orch-Medium is a 4 billion parameter language model developed by nomeda-lab. It is based on the Qwen3 architecture and was finetuned from unsloth/qwen3-4b-unsloth-bnb-4bit.

Key Characteristics

  • Architecture: Qwen3-based causal language model.
  • Parameter Count: 4 billion parameters.
  • Training Efficiency: Finetuned using Unsloth and Huggingface's TRL library, which facilitated 2x faster training compared to standard methods.
  • Context Length: Supports a context length of 32768 tokens.

Intended Use Cases

This model is suitable for a variety of general language generation and understanding tasks, benefiting from its efficient finetuning process. Its Qwen3 foundation and substantial context window make it adaptable for applications requiring robust language capabilities.