PEFT
Safetensors
English
decision-model
system-1
system-one
calibration
tool-use
agents
guardrails
prompt-injection
lora
Instructions to use grounded-ai/agent-decision-9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use grounded-ai/agent-decision-9b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Cloudflare/clef-flash") model = PeftModel.from_pretrained(base_model, "grounded-ai/agent-decision-9b") - Notebooks
- Google Colab
- Kaggle
Commit History
29 days ago
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Version 2: agent steps, prompt injection, grounding, multi-turn call/ask/decline
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Describe uses beyond the cascade: hooks, guardrails, trace labelling
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Link the 3B sibling and the collection
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adapter_config: task_type CAUSAL_LM
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adapter_config: task_type FEATURE_EXTRACTION (Hub requires a string)
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Link the GitHub repo and test data
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agent-decision-9b: LoRA adapter + calibrated joint head for Cloudflare/clef-flash
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initial commit
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