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Docker is a platform that uses Linux kernel features to run applications in isolated containers, providing tools such as Docker Engine, Docker Desktop, and Docker Compose.
… On a verifier evaluation benchmark, Dockerless outperforms the strongest open-source verifier by 14.3 AUC points. Using Dockerless as both the SFT trajectory filter and the RL reward enables a fully environment-free post-training pipeline. …
… We’re actively working toward open-sourcing the Docker image. Once we have a stable version ready to share. However, you can already use the Docker image on Mac with the arm64 architecture. …
… Login Succeeded $ export NIM IMAGE=llm-nim export HF TOKEN=hf ... export MODEL=hf://microsoft/Phi-3-mini-4k-instruct-gguf export NGC API KEY=nv... export LOCAL NIM CACHE=~/.cache/nim docker run --rm --gpus all \ --shm-size=16GB \ --network=host \ -u $ id -u \ -v $ pwd /nim cache:/opt/nim/.cache \ -… …
… Unlike previous benchmarks that rely on static, pre-recorded answers, our benchmark evaluates agents in live Docker containers using fine-grained, step-by-step completion checkpoints. …
… Can this be deployed locally? · If you pull the Docker image locally and have a GPU available on your computer/server, it should yes 👌 Does this provide word-level timestamps? …
… Each task averages roughly 8 minutes of wall-clock time and over 20 tool calls, and runs inside a reproducible Docker container hosting an actual CLI agent harness OpenClaw, Claude Code, Codex, or Hermes Agent with access to real tools rather than mock services. …
… Generated by Qwen/Qwen2.5-Coder-32B-Instruct General-purpose agents such as OpenClaw are increasingly used as autonomous tool users, but their coding ability is difficult to measure under SWE-bench : a generic agent does not by itself satisfy the clean Docker workspace, patch, and prediction contra… …
… To ensure rigorous supervision, validated blueprints are instantiated into Dockerized environments and subjected to a multi-stage executable verification pipeline featuring rubric-gated test construction , hint-conditional filtering, and strict fail-to-pass checking . …
… Based on AgentDoG 1.5 , we construct a highly efficient agentic safety SFT and RL training environment , which reduces deployment overhead in Docker-level environments by two orders of magnitude. …
… Each task executes in an isolated Docker sandbox and is scored on task completion by multi-dimensional rubrics combining six complementary techniques, with an independent five-category safety audit providing additional behavioral analysis. …
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