Instructions to use blazeofchi/mempool-qwen-logits-orchestrator-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use blazeofchi/mempool-qwen-logits-orchestrator-v0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("blazeofchi/mempool-qwen-logits-orchestrator-v0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "heldout_count": 13, | |
| "heldout_fraction": 0.2, | |
| "heldout_output": "research/datasets/20260628-qwen-small-logits-orchestrator-split-heldout.jsonl", | |
| "heldout_task_ids": [ | |
| "bigcodebench-hard-BigCodeBench-162", | |
| "bigcodebench-hard-BigCodeBench-1006", | |
| "bigcodebench-hard-BigCodeBench-322", | |
| "bigcodebench-hard-BigCodeBench-123", | |
| "bigcodebench-hard-BigCodeBench-760", | |
| "bigcodebench-hard-BigCodeBench-897", | |
| "bigcodebench-hard-BigCodeBench-161", | |
| "bigcodebench-hard-BigCodeBench-963", | |
| "bigcodebench-hard-BigCodeBench-928", | |
| "bigcodebench-hard-BigCodeBench-678", | |
| "bigcodebench-hard-BigCodeBench-1022", | |
| "bigcodebench-hard-BigCodeBench-139", | |
| "bigcodebench-hard-BigCodeBench-955" | |
| ], | |
| "record_count": 66, | |
| "schema_version": "mempool.qwen_logits_split.v1", | |
| "seed": 7, | |
| "source": "research/datasets/20260628-qwen-small-logits-orchestrator-smoke-rows.jsonl", | |
| "train_count": 53, | |
| "train_output": "research/datasets/20260628-qwen-small-logits-orchestrator-split-train.jsonl" | |
| } | |