mamiyusufdemi/Apex-Reasoning-38-v1
VISIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:5.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 12, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
mamiyusufdemi/Apex-Reasoning-38-v1 is a 5.1 billion parameter language model, finetuned from the Gemma 4 architecture. Developed by mamiyusufdemi, it was trained using Unsloth and Huggingface's TRL library for accelerated finetuning. This model is designed for general language tasks, leveraging its Gemma 4 base and efficient training methodology.
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Model Overview
mamiyusufdemi/Apex-Reasoning-38-v1 is a 5.1 billion parameter language model, developed by mamiyusufdemi. It is finetuned from the Gemma 4 architecture, indicating a foundation in Google's open-source large language model family.
Key Characteristics
- Architecture: Based on the Gemma 4 model, providing a robust foundation for language understanding and generation.
- Parameter Count: Features 5.1 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: The model was finetuned using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process. This highlights an optimization for efficient model development.
- Context Length: Supports a substantial context length of 32768 tokens, allowing it to process and generate longer sequences of text.
Potential Use Cases
- General Text Generation: Suitable for various tasks requiring coherent and contextually relevant text output.
- Language Understanding: Can be applied to tasks like summarization, question answering, and sentiment analysis due to its foundational architecture.
- Research and Development: Its efficient finetuning process makes it an interesting candidate for further experimentation and adaptation to specific domains.