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Caller-GGUF
arcee-ai/Caller-GGUF
Caller-GGUF is a machine learning model from arcee-ai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
All-time downloads
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Repo size
429 GB
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.gguf429 GB · 100%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jun 8, 2025
- Updated
- Jun 10, 2025
- SHA
- cf1a7459
Base models
Model card
From the Hugging Face model README
GGUF Quantizations for Caller
Caller (32B) is a robust model engineered for seamless integrations and optimized for managing complex tool-based interactions and API function calls. Its strength lies in precise execution, intelligent orchestration, and effective communication between systems, making it indispensable for sophisticated automation pipelines.
Model Details
- Architecture Base: Qwen2.5-32B
- Parameter Count: 32B
- License: Apache-2.0
Use Cases:
- Managing integrations between CRMs, ERPs, and other enterprise systems
- Running multi-step workflows with intelligent condition handling
- Orchestrating external tool interactions like calendar scheduling, email parsing, or data extraction
- Real-time monitoring and diagnostics in IoT or SaaS environments
License
Caller (32B) is released under the Apache-2.0 License. You are free to use, modify, and distribute this model in both commercial and non-commercial applications, subject to the terms and conditions of the license.
If you have questions or would like to share your experiences using Caller (32B), please connect with us on social media. We’re excited to see what you build—and how this model helps you innovate!
- License
- apache-2.0
- Created
- Jun 8, 2025
- Updated
- Jun 10, 2025