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clerktree
Available on FriendliAI
Run this model inference on single tenant GPU with unmatched speed and reliability at scale.
Run this model inference with full control and performance in your environment.
Model Details
Model Provider
clerktree
Model Tree
mistralai/Mistral-7B-Instruct-v0.3
Input Modalities
Output Modalities
Supported Functionality
mistralai/Mistral-7B-Instruct-v0.3The training examples teach tool selection and Clertree response style. Runtime facts must still come from telemetry, registered model plugins, maintenance knowledge, and MCP tool results.
python
from machina_harness.agent import generate_agent_turn, load_agenttokenizer, model = load_agent(adapter="clerktree/machina-agent-mistral-7b-lora")response = generate_agent_turn("which model plugins are installed?", tokenizer, model)print(response.text)print(response.tool_calls)
Machina is decision support for engineers and operators. It is not a safety controller. Validate outputs against site procedures, calibrated sensors, and qualified human inspection before maintenance action.