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PEFT
Safetensors
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agents
llm-agents
tool-use
function-calling
decision-making
decision-model
lora
qwen3
Instructions to use JevAgentHarness/AgentDecision-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use JevAgentHarness/AgentDecision-4B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B") model = PeftModel.from_pretrained(base_model, "JevAgentHarness/AgentDecision-4B") - Notebooks
- Google Colab
- Kaggle
File size: 737 Bytes
d0fed36 | 1 2 3 4 5 6 7 8 9 10 | {
"description": "Confidence thresholds of the cascade: the harness uses the model's answer when its calibrated confidence (calibration.json applied) is >= tau, and lets the agent LLM decide otherwise. Refit them for another agent LLM, other tools or another task family.",
"rule": ">=",
"agent_llm": "gemini-3.5-flash",
"tool_select": 0.44503032941063925,
"tool_params": 0.9958731532096863,
"fitted_on": "the agent states of a shadow-mode calibration run (150 DecisionGym tasks, seeds 5000-5149, Gemini 3.5 Flash as the agent LLM), answered by this model with calibration.json applied",
"source": "research/results/explore/e21b_shift_cascade/cal/fits.json; harness profile research/configs/harness/explore_e21b_e12_final.yaml"
}
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