Instructions to use Dar3devil/promptops-arena-agent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Dar3devil/promptops-arena-agent with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "Dar3devil/promptops-arena-agent") - Notebooks
- Google Colab
- Kaggle
| { | |
| "policy": "cot", | |
| "split": "test", | |
| "llm_backend": "transformers", | |
| "by_type": { | |
| "math": { | |
| "n": 4, | |
| "correct": 1, | |
| "format": 4 | |
| }, | |
| "code": { | |
| "n": 4, | |
| "correct": 3, | |
| "format": 4 | |
| }, | |
| "json": { | |
| "n": 4, | |
| "correct": 4, | |
| "format": 4 | |
| } | |
| }, | |
| "overall": { | |
| "n": 12, | |
| "correct": 8, | |
| "format": 12, | |
| "mean_reward": 0.7666666666666666 | |
| }, | |
| "rows": [ | |
| { | |
| "task_id": "math_t01", | |
| "task_type": "math", | |
| "policy": "cot", | |
| "edit_turns": 1, | |
| "final_reward": 0.1, | |
| "correct": false, | |
| "format_ok": true, | |
| "components": { | |
| "correctness": 0.0, | |
| "format": 1.0, | |
| "brevity": -0.0, | |
| "total": 0.1 | |
| } | |
| }, | |
| { | |
| "task_id": "math_t02", | |
| "task_type": "math", | |
| "policy": "cot", | |
| "edit_turns": 1, | |
| "final_reward": 0.1, | |
| "correct": false, | |
| "format_ok": true, | |
| "components": { | |
| "correctness": 0.0, | |
| "format": 1.0, | |
| "brevity": -0.0, | |
| "total": 0.1 | |
| } | |
| }, | |
| { | |
| "task_id": "math_t03", | |
| "task_type": "math", | |
| "policy": "cot", | |
| "edit_turns": 1, | |
| "final_reward": 0.1, | |
| "correct": false, | |
| "format_ok": true, | |
| "components": { | |
| "correctness": 0.0, | |
| "format": 1.0, | |
| "brevity": -0.0, | |
| "total": 0.1 | |
| } | |
| }, | |
| { | |
| "task_id": "math_t04", | |
| "task_type": "math", | |
| "policy": "cot", | |
| "edit_turns": 1, | |
| "final_reward": 1.1, | |
| "correct": true, | |
| "format_ok": true, | |
| "components": { | |
| "correctness": 1.0, | |
| "format": 1.0, | |
| "brevity": -0.0, | |
| "total": 1.1 | |
| } | |
| }, | |
| { | |
| "task_id": "code_t01", | |
| "task_type": "code", | |
| "policy": "cot", | |
| "edit_turns": 1, | |
| "final_reward": 1.1, | |
| "correct": true, | |
| "format_ok": true, | |
| "components": { | |
| "correctness": 1.0, | |
| "format": 1.0, | |
| "brevity": -0.0, | |
| "total": 1.1 | |
| } | |
| }, | |
| { | |
| "task_id": "code_t02", | |
| "task_type": "code", | |
| "policy": "cot", | |
| "edit_turns": 1, | |
| "final_reward": 1.1, | |
| "correct": true, | |
| "format_ok": true, | |
| "components": { | |
| "correctness": 1.0, | |
| "format": 1.0, | |
| "brevity": -0.0, | |
| "total": 1.1 | |
| } | |
| }, | |
| { | |
| "task_id": "code_t03", | |
| "task_type": "code", | |
| "policy": "cot", | |
| "edit_turns": 1, | |
| "final_reward": 0.1, | |
| "correct": false, | |
| "format_ok": true, | |
| "components": { | |
| "correctness": 0.0, | |
| "format": 1.0, | |
| "brevity": -0.0, | |
| "total": 0.1 | |
| } | |
| }, | |
| { | |
| "task_id": "code_t04", | |
| "task_type": "code", | |
| "policy": "cot", | |
| "edit_turns": 1, | |
| "final_reward": 1.1, | |
| "correct": true, | |
| "format_ok": true, | |
| "components": { | |
| "correctness": 1.0, | |
| "format": 1.0, | |
| "brevity": -0.0, | |
| "total": 1.1 | |
| } | |
| }, | |
| { | |
| "task_id": "json_t01", | |
| "task_type": "json", | |
| "policy": "cot", | |
| "edit_turns": 1, | |
| "final_reward": 1.1, | |
| "correct": true, | |
| "format_ok": true, | |
| "components": { | |
| "correctness": 1.0, | |
| "format": 1.0, | |
| "brevity": -0.0, | |
| "total": 1.1 | |
| } | |
| }, | |
| { | |
| "task_id": "json_t02", | |
| "task_type": "json", | |
| "policy": "cot", | |
| "edit_turns": 1, | |
| "final_reward": 1.1, | |
| "correct": true, | |
| "format_ok": true, | |
| "components": { | |
| "correctness": 1.0, | |
| "format": 1.0, | |
| "brevity": -0.0, | |
| "total": 1.1 | |
| } | |
| }, | |
| { | |
| "task_id": "json_t03", | |
| "task_type": "json", | |
| "policy": "cot", | |
| "edit_turns": 1, | |
| "final_reward": 1.1, | |
| "correct": true, | |
| "format_ok": true, | |
| "components": { | |
| "correctness": 1.0, | |
| "format": 1.0, | |
| "brevity": -0.0, | |
| "total": 1.1 | |
| } | |
| }, | |
| { | |
| "task_id": "json_t04", | |
| "task_type": "json", | |
| "policy": "cot", | |
| "edit_turns": 1, | |
| "final_reward": 1.1, | |
| "correct": true, | |
| "format_ok": true, | |
| "components": { | |
| "correctness": 1.0, | |
| "format": 1.0, | |
| "brevity": -0.0, | |
| "total": 1.1 | |
| } | |
| } | |
| ] | |
| } |