Text Generation
Safetensors
English
mistral
agent
router
orchestration
tool-use
planning
unsloth
conversational
Instructions to use hvss/Dispatch-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use hvss/Dispatch-7B with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for hvss/Dispatch-7B to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for hvss/Dispatch-7B to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for hvss/Dispatch-7B to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="hvss/Dispatch-7B", max_seq_length=2048, )
Link live demo Space
Browse files
README.md
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> **Dispatch-7B, an agent orchestrator in 7B parameters — the tiny AI manager that runs a team of expensive AI workers.**
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Dispatch-7B is a fine-tuned **Mistral 7B Instruct v0.3** that acts as the **orchestrator** in an agentic system. It reads a user request plus a catalog of available tools and outputs a structured execution plan: which tool handles each step, in what order (as a dependency DAG), and which steps genuinely deserve escalation to a frontier model.
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**Small model as the boss. Big models as the workers.**
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> **Dispatch-7B, an agent orchestrator in 7B parameters — the tiny AI manager that runs a team of expensive AI workers.**
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🎬 **[Watch it route work live →](https://huggingface.co/spaces/hvss/dispatch-7b-demo)**
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Dispatch-7B is a fine-tuned **Mistral 7B Instruct v0.3** that acts as the **orchestrator** in an agentic system. It reads a user request plus a catalog of available tools and outputs a structured execution plan: which tool handles each step, in what order (as a dependency DAG), and which steps genuinely deserve escalation to a frontier model.
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**Small model as the boss. Big models as the workers.**
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