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Alternatives to finetune-scheduler

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    Related Servers

    • A
      license
      C
      quality
      A
      maintenance
      Exposes safe JSON contracts for validating and preparing datasets, running supervised fine-tuning, preference learning, RL, distillation, and evaluation, and managing checkpoints and exports through the Tinker SDK and Cookbook. It lets agents discover models and Hugging Face datasets, plan and execute training recipes, compare experiments, and export selected models.
      48
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables assistants to queue and monitor local language and vision model evaluations, compare results with confidence intervals, and retrieve routing recommendations for task categories.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables LLM evaluation and observability by uploading documents, building test sets, running RAG pipelines, and automatically scoring answers for groundedness, hallucination risk, retrieval quality, latency, and cost, with tools exposed to MCP-compatible clients.
      1
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to browse and filter experiment runs, retrieve metrics, logs, tables, and artifacts, plot comparisons as PNG images, and download full-fidelity training history for local analysis against a self-hosted Open Train server. It also provides diagnostic tooling that surfaces metric evidence and investigation leads without asserting causality.
      16
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables querying machine-learning experiments in natural language. Supports listing, inspecting, ranking, and comparing experiment runs.
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