Locutusque/Esmeralda-Qwen3.6-35B-A3B
TEXT GENERATIONConcurrency Cost:3Model Size:35.1BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:May 31, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
Locutusque/Esmeralda-Qwen3.6-35B-A3B is a 35.1 billion parameter Qwen3.6-A3B model developed by Locutusque. This model was fine-tuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging its Qwen architecture for robust performance.
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Model Overview
Locutusque/Esmeralda-Qwen3.6-35B-A3B is a 35.1 billion parameter language model, fine-tuned by Locutusque. It is based on the Qwen3.6-35B-A3B architecture, indicating its foundation in the Qwen series of models.
Key Characteristics
- Architecture: Built upon the Qwen3.6-35B-A3B model.
- Parameter Count: Features 35.1 billion parameters, providing substantial capacity for complex language understanding and generation tasks.
- Training Efficiency: The model was fine-tuned using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Potential Use Cases
This model is suitable for a wide range of applications that benefit from a large, efficiently fine-tuned language model. Its Qwen foundation suggests strong capabilities in areas such as:
- General text generation and completion.
- Question answering and summarization.
- Conversational AI and chatbots.
- Content creation and data analysis.