Team Ai
21 results

backend

evaleval /card_backend Eval Cards Backend Dataset Pre-computed evaluation data powering the Eval Cards frontend. Generated by the eval-cards backend pipeline. Last generated: 2026-05-05T11:30:42.961096Z Quick Stats Stat Value Models 5,678 Evaluations (benchmarks) 798 Metric-level evaluations 1321 Source configs processed 52 Benchmark metadata cards 240 File Structure . ├── README.md # This file ├── manifest.json… See the full description on the dataset page: https://huggingface.co/datasets/evaleval/card_backend.1K<n<10K1 likes4.7k downloads22h agoHugging Faceemgena /omnimcp_python_backend_architect_teaser 🚀 OmniMCP Python Backend Architect (Evaluation Teaser + Turnkey MCP Server) ⚡ Official Free Community Teaser (50 Verified Scenarios + Executable MCP Server)🏆 Production Master Package on Gumroad:👉 Purchase Full Enterprise Package on Gumroad🏷️ Use coupon code LAUNCH20 for €20 off at checkout! (Starting at €49) ⚡ Activate in Cursor IDE & Claude Desktop in 30 Seconds This repository now contains a zero-dependency, turnkey Model Context Protocol (MCP) server… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_python_backend_architect_teaser.n<1K0 likes2.4k downloads8h agoHugging FaceGPUMODE /backendbench_tests TorchBench The TorchBench suite of BackendBench is designed to mimic real-world use cases. It provides operators and inputs derived from 155 model traces found in TIMM (67), Hugging Face Transformers (45), and TorchBench (43). (These are also the models PyTorch developers use to validate performance.) You can view the origin of these traces by switching the subset in the dataset viewer to ops_traces_models and torchbench for the full dataset. When running BackendBench, much of the… See the full description on the dataset page: https://huggingface.co/datasets/GPUMODE/backendbench_tests.tabular10K<n<100K4 likes805 downloads1y agoHugging FaceMisalignment-Empirics /theo_qwen2.5-7b-it_impulsive-whitebox-backend-parity Status: NOT the paper's results. White-box backend parity run (2026-09-04, on the since-retired HF backend). The paper's canonical results are Misalignment-Empirics/theo_impulsive-qwen_2_5-7b-14b-32b-big_eval_results, run runs/impulsive-qwen_2_5-7b-14b-32b-20260925/. MO_evals results Raw per-sample results from MO_evals runs (private, CLAUDE.md §5). One directory per upload; nothing here is aggregated — the Parquet and the .eval logs are the primary evidence, the scorecard is… See the full description on the dataset page: https://huggingface.co/datasets/Misalignment-Empirics/theo_qwen2.5-7b-it_impulsive-whitebox-backend-parity.0 likes716 downloads6d agoHugging Facej-chim /temp_evalcard_backend Eval Cards Backend Dataset Pre-computed evaluation data powering the Eval Cards frontend. Generated by the eval-cards backend pipeline. Last generated: 2026-04-29T01:12:58.765261Z Quick Stats Stat Value Models 5,829 Evaluations (benchmarks) 581 Metric-level evaluations 1092 Source configs processed 34 Benchmark metadata cards 85 File Structure . ├── README.md # This file ├── manifest.json #… See the full description on the dataset page: https://huggingface.co/datasets/j-chim/temp_evalcard_backend.1K<n<10K0 likes529 downloads5mo agoHugging Facedemo-leaderboard-backend /requests0 likes429 downloads2y agoHugging Face