interpolators/FableOpus-9B-Delta
FableOpus-9B-Delta is a 9 billion parameter language model developed by interpolators, built on the Qwen3.5-9B architecture. This model is a delta merge designed to combine the agentic and tool-use capabilities of the Fable 5 distillation with the strong reasoning performance of Claude Opus-distilled checkpoints. It is optimized for general chat, code assistance, tool-use style prompting, and reasoning-heavy tasks, supporting a 32768 token context length.
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FableOpus-9B-Delta: Merging Agentic Tool-Use with Opus Reasoning
FableOpus-9B-Delta is a 9 billion parameter model built upon the Qwen3.5-9B base, developed by interpolators. This model represents a strategic delta merge, combining distinct strengths from multiple source signals to create a versatile and powerful LLM. It specifically integrates the agentic and tool-use behaviors derived from Fable 5 distillation with the high-performance reasoning capabilities found in Claude Opus-distilled checkpoints.
Key Capabilities
- Hybrid Intelligence: Blends the practical, agentic prompting style of Fable 5 with the advanced reasoning of Opus-distilled models.
- Qwen3.5-9B Family: Benefits from the robust architecture and performance characteristics of the Qwen3.5-9B base model.
- Bfloat16 Precision: Utilizes
bfloat16for efficient computation and memory usage. - Tool-Use Integration: Designed to maintain and enhance tool-use style prompting, making it suitable for agentic workflows.
Good For
- General Chat Applications: Capable of engaging in diverse conversational tasks.
- Code Assistance: Provides support for coding-related queries and generation.
- Reasoning-Heavy Experiments: Excels in tasks requiring complex logical thought and problem-solving.
- Agentic Workflows: Ideal for scenarios where models need to interact with tools or follow multi-step instructions.