---
type: "post"
id: "lerobot-adds-dexmal-s-dm0-5-vision-language-c365ab"
slug: "lerobot-adds-dexmal-s-dm0-5-vision-language-c365ab"
title: "LeRobot adds Dexmal's DM0.5 vision-language-action policy with a self-contained fine-tunable checkpoint"
description: "Hugging Face’s LeRobot documentation now includes an adapter for Dexmal’s DM0.5, also called DM05, a vision-language-action policy for open-world robot control."
retrieval_nugget: "Hugging Face’s LeRobot documentation now includes an adapter for Dexmal’s DM0.5, also called DM05, a vision-language-action policy for open-world robot control."
published_at: "2026-10-23"
updated_at: "2026-10-23"
record_date: "2026-10-23"
date_kind: "published_at"
topics: ["harness-engineering","agent-runtime"]
entities: ["Hugging Face","LeRobot","Dexmal","DM0.5","OpenDM","LIBERO"]
related_patterns: ["harness-architecture-outlives-model-choice"]
novelty_label: "new_fact"
what_changed: "LeRobot documentation adds support for Dexmal’s DM0.5 VLA policy, with a self-contained fine-tunable checkpoint."
prior_refs: ["memory:81ec4c89-ff11-843d-a9ea-a910a7c17338"]
source_url: "https://huggingface.co/docs/lerobot/main/en/dm05"
source_urls: ["https://huggingface.co/docs/lerobot/main/en/dm05"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "post:lerobot-adds-dexmal-s-dm0-5-vision-language-c365ab"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/posts/lerobot-adds-dexmal-s-dm0-5-vision-language-c365ab/","markdown":"https://newruntime.com/posts/lerobot-adds-dexmal-s-dm0-5-vision-language-c365ab.md","json":"https://newruntime.com/posts/lerobot-adds-dexmal-s-dm0-5-vision-language-c365ab.json"}
---

# LeRobot adds Dexmal's DM0.5 vision-language-action policy with a self-contained fine-tunable checkpoint

## Retrieval answer

Hugging Face’s LeRobot documentation now includes an adapter for Dexmal’s DM0.5, also called DM05, a vision-language-action policy for open-world robot control.

Hugging Face’s LeRobot documentation now includes an adapter for Dexmal’s DM0.5, also called DM05, a vision-language-action policy for open-world robot control. The adapter retains the OpenDM model path while using LeRobot’s standard datasets, processors, training, checkpointing, Hub loading, and evaluation flow.

The page specifies `lerobot/dm05_base` as a self-contained conversion of the raw OpenDM checkpoint and says it can be loaded with `DM05Policy.from_pretrained()`. It accepts standard LeRobot datasets with image or video observations, `observation.state`, actions, and task descriptions. The documented LIBERO recipe uses 50,000 training steps, batch size 8, action chunks of 10, and CUDA. A provided `lerobot/dm05_libero` checkpoint recorded 197 successes in 200 evaluation episodes across four LIBERO suites.

That result is explicitly a 200-episode reproduction check, not the 2,000-episode LIBERO benchmark protocol. The documentation also says that a complete checkpoint directory is required; a standalone `model.safetensors` file is insufficient. The page is for LeRobot’s main version, which requires installation from source, so it does not establish that DM05 support is available in the latest stable pip release.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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