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vf_stackblocks_nanovlm_probe_hl_v2
lilkm/vf_stackblocks_nanovlm_probe_hl_v2
vf_stackblocks_nanovlm_probe_hl_v2 is a robotics model from lilkm. Use it for the robotics task on the model card, and read the license before you ship it in a product. It is set up for lerobot. The card lists the license as apache-2.0.
Reward model type not recognized — please update this template.
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At a glance
- Task
- Robotics
- Library
- lerobot
- License
- apache-2.0
- Access
- Public
- Created
- Jul 25, 2026
- Updated
- Jul 25, 2026
- SHA
- ebaa44e8
Model card
From the Hugging Face model README
Reward Model Card for nanovlm_value_function
<!-- Provide a quick summary of what the reward model is/does. -->Reward model type not recognized — please update this template.
This reward model has been trained and pushed to the Hub using LeRobot. See the full documentation at LeRobot Docs.
How to Get Started with the Reward Model
Train from scratch
lerobot-train \
--dataset.repo_id=${HF_USER}/<dataset> \
--reward_model.type=nanovlm_value_function \
--output_dir=outputs/train/<desired_reward_model_repo_id> \
--job_name=lerobot_reward_training \
--reward_model.device=cuda \
--reward_model.repo_id=${HF_USER}/<desired_reward_model_repo_id> \
--wandb.enable=true
Writes checkpoints to outputs/train/<desired_reward_model_repo_id>/checkpoints/.
Load the reward model in Python
from lerobot.rewards import make_reward_model
reward_model = make_reward_model(pretrained_path="<hf_user>/<reward_model_repo_id>")
reward = reward_model.compute_reward(batch)
Model Details
- License: apache-2.0
- Task
- Robotics
- Library
- lerobot
- License
- apache-2.0
- Created
- Jul 25, 2026
- Updated
- Jul 25, 2026