tepirale/Ornith-Agents-A1-3.6-35B-A3B-task_arithmetic_v2
tepirale/Ornith-Agents-A1-3.6-35B-A3B-task_arithmetic_v2 is a 35.1 billion parameter language model merge created using the Task Arithmetic method, based on Qwen/Qwen3.5-35B-A3B. This model integrates capabilities from InternScience/Agents-A1 and deepreinforce-ai/Ornith-1.0-35B, specializing in advanced reasoning with a 32768 token context length. It is optimized for tool-calling and structured reasoning, leveraging Qwen3-style parsing for enhanced agentic behavior.
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Model Overview
tepirale/Ornith-Agents-A1-3.6-35B-A3B-task_arithmetic_v2 is a 35.1 billion parameter merged language model, built upon the Qwen/Qwen3.5-35B-A3B base using the Task Arithmetic merging method. This model combines the strengths of InternScience/Agents-A1 and deepreinforce-ai/Ornith-1.0-35B to enhance its agentic capabilities and reasoning.
Key Capabilities
- Advanced Reasoning: Utilizes a
qwen3reasoning parser, enabling structured thought processes (e.g.,<think>...</think>) for complex problem-solving. - Tool-Calling: Features a
qwen3_xmltool-call parser, allowing for robust integration and execution of external tools. - Extended Context: Supports a substantial context length of 32768 tokens, facilitating the processing of lengthy inputs and maintaining conversational coherence.
- Merge Method: Created with
mergekitusing Task Arithmetic, which combines models by adjusting weights based on their contributions to specific tasks.
Good For
- Agentic Workflows: Ideal for applications requiring sophisticated agentic behavior, planning, and tool use.
- Complex Problem Solving: Excels in tasks that benefit from explicit reasoning steps and structured output.
- Research and Development: Provides a strong foundation for experimenting with merged models and agent-based AI systems.