Instructions to use gimarchetti/clr-experiment-molmoact2-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use gimarchetti/clr-experiment-molmoact2-3 with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- config.json +2 -2
- model.safetensors +1 -1
- train_config.json +6 -6
config.json
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@@ -70,7 +70,7 @@
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"trust_remote_code": true,
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"chunk_size": 30,
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"n_action_steps": 10,
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"action_mode": "
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"inference_action_mode": null,
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"discrete_action_tokenizer": "allenai/MolmoAct2-FAST-Tokenizer",
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"discrete_generation_max_steps": null,
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"lora_bias": "none",
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"enable_lora_action_expert": false,
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"enable_knowledge_insulation": false,
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"freeze_embedding":
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"train_action_expert_only": false,
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"gradient_checkpointing": true,
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"model_dtype": "bfloat16",
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"trust_remote_code": true,
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"chunk_size": 30,
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"n_action_steps": 10,
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"action_mode": "continuous",
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"inference_action_mode": null,
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"discrete_action_tokenizer": "allenai/MolmoAct2-FAST-Tokenizer",
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"discrete_generation_max_steps": null,
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"lora_bias": "none",
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"enable_lora_action_expert": false,
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"enable_knowledge_insulation": false,
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"freeze_embedding": false,
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"train_action_expert_only": false,
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"gradient_checkpointing": true,
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"model_dtype": "bfloat16",
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model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 10884573720
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:1ec99eeffbaeda4415ee9107f285a5babf1e544a4b4c3d7dd1732ebf3df07503
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size 10884573720
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train_config.json
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@@ -4,7 +4,7 @@
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"root": "./dataset/clr_teleoperation_dataset_3",
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"episodes": null,
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"image_transforms": {
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"enable":
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"max_num_transforms": 3,
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"random_order": false,
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"tfs": {
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@@ -76,7 +76,7 @@
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},
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"revision": null,
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"use_imagenet_stats": true,
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"video_backend": "
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"return_uint8": false,
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"streaming": false
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},
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@@ -153,7 +153,7 @@
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"trust_remote_code": true,
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"chunk_size": 30,
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"n_action_steps": 10,
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-
"action_mode": "
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"inference_action_mode": null,
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"discrete_action_tokenizer": "allenai/MolmoAct2-FAST-Tokenizer",
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"discrete_generation_max_steps": null,
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"lora_bias": "none",
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"enable_lora_action_expert": false,
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"enable_knowledge_insulation": false,
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-
"freeze_embedding":
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"train_action_expert_only": false,
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"gradient_checkpointing": true,
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"model_dtype": "bfloat16",
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},
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"reward_model": null,
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"output_dir": "ckpt/clr-experiment-molmoact2-3",
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"job_name": "clr-experiment-molmoact2-3_2026-05-
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"resume": false,
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"seed": 1000,
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"cudnn_deterministic": false,
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"project": "lerobot",
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"entity": null,
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"notes": null,
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"run_id": "
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"mode": null,
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"add_tags": true
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},
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"root": "./dataset/clr_teleoperation_dataset_3",
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"episodes": null,
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"image_transforms": {
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"enable": true,
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"max_num_transforms": 3,
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"random_order": false,
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"tfs": {
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},
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"revision": null,
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"use_imagenet_stats": true,
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"video_backend": "torchcodec",
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"return_uint8": false,
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"streaming": false
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},
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"trust_remote_code": true,
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"chunk_size": 30,
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"n_action_steps": 10,
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+
"action_mode": "continuous",
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"inference_action_mode": null,
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"discrete_action_tokenizer": "allenai/MolmoAct2-FAST-Tokenizer",
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"discrete_generation_max_steps": null,
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"lora_bias": "none",
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"enable_lora_action_expert": false,
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"enable_knowledge_insulation": false,
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+
"freeze_embedding": false,
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"train_action_expert_only": false,
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"gradient_checkpointing": true,
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"model_dtype": "bfloat16",
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},
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"reward_model": null,
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"output_dir": "ckpt/clr-experiment-molmoact2-3",
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"job_name": "clr-experiment-molmoact2-3_2026-05-19_21-27-38",
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"resume": false,
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"seed": 1000,
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"cudnn_deterministic": false,
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"project": "lerobot",
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"entity": null,
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"notes": null,
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"run_id": "a57sp0s2",
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"mode": null,
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"add_tags": true
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},
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