Instructions to use lilkm/Robometer-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use lilkm/Robometer-4B with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Fix vocab to 151674 (match upstream Robometer-4B byte-for-byte)
Browse files- README.md +3 -3
- config.json +113 -0
- model.safetensors +1 -1
README.md
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@@ -5,12 +5,12 @@ license: apache-2.0
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model_name: robometer
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pipeline_tag: robotics
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tags:
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- lerobot
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-
-
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- robotics
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- robometer
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-
- qwen3-vl
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-
- reward-model
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- vision-language
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---
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model_name: robometer
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pipeline_tag: robotics
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tags:
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- reward-model
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- lerobot
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- qwen3-vl
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- robotics
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- zero-shot
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- robometer
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- vision-language
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---
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config.json
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@@ -51,6 +51,119 @@
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"frame_pooling_attn_temperature": 1.0,
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"progress_loss_type": "discrete",
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"progress_discrete_bins": 10,
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"normalization_mapping": {
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"VISUAL": "IDENTITY",
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"REWARD": "IDENTITY"
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"frame_pooling_attn_temperature": 1.0,
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"progress_loss_type": "discrete",
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"progress_discrete_bins": 10,
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"vlm_config": {
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"transformers_version": "5.5.4",
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"architectures": [
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"Qwen3VLForConditionalGeneration"
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],
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"output_hidden_states": false,
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"return_dict": true,
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"dtype": null,
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"chunk_size_feed_forward": 0,
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"is_encoder_decoder": false,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"problem_type": null,
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"text_config": {
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"architectures": null,
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"output_hidden_states": false,
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"return_dict": true,
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"dtype": "bfloat16",
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"chunk_size_feed_forward": 0,
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"is_encoder_decoder": false,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"problem_type": null,
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"vocab_size": 151674,
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"hidden_size": 2560,
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"intermediate_size": 9728,
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"num_hidden_layers": 36,
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"num_attention_heads": 32,
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"num_key_value_heads": 8,
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"head_dim": 128,
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"hidden_act": "silu",
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"max_position_embeddings": 262144,
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"initializer_range": 0.02,
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"rms_norm_eps": 1e-06,
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"use_cache": true,
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"rope_parameters": {
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"mrope_interleaved": true,
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"mrope_section": [
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24,
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20,
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20
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],
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"rope_type": "default",
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"rope_theta": 5000000
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},
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"attention_bias": false,
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"attention_dropout": 0.0,
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"pad_token_id": null,
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"_name_or_path": "",
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"bos_token_id": 151643,
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"eos_token_id": 151645,
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"model_type": "qwen3_vl_text",
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"tie_word_embeddings": true,
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"output_attentions": false
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},
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"vision_config": {
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"architectures": null,
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"output_hidden_states": false,
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"return_dict": true,
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"dtype": null,
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"chunk_size_feed_forward": 0,
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"is_encoder_decoder": false,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"problem_type": null,
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"depth": 24,
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"hidden_size": 1024,
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"hidden_act": "gelu_pytorch_tanh",
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"intermediate_size": 4096,
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"num_heads": 16,
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"in_channels": 3,
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"patch_size": 16,
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"spatial_merge_size": 2,
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"temporal_patch_size": 2,
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"out_hidden_size": 2560,
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"num_position_embeddings": 2304,
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"deepstack_visual_indexes": [
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5,
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11,
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17
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],
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"initializer_range": 0.02,
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"_name_or_path": "",
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"model_type": "qwen3_vl",
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"output_attentions": false
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},
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"image_token_id": 151655,
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"video_token_id": 151656,
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"vision_start_token_id": 151652,
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"vision_end_token_id": 151653,
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"tie_word_embeddings": true,
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"_name_or_path": "Qwen/Qwen3-VL-4B-Instruct",
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"model_type": "qwen3_vl",
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"output_attentions": false
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},
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"normalization_mapping": {
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"VISUAL": "IDENTITY",
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"REWARD": "IDENTITY"
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model.safetensors
CHANGED
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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 8894103800
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| 1 |
version https://git-lfs.github.com/spec/v1
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+
oid sha256:013709f2ea0b67aa50385b5c5ae61843cf7f2932b8aab7f5e45e0747560d0c14
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size 8894103800
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