Text-to-3D
Transformers
Safetensors
English
AvaLovelace commited on
Commit
b5181e5
·
verified ·
1 Parent(s): f0636cc

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +9 -9
README.md CHANGED
@@ -1,7 +1,7 @@
1
  ---
2
  base_model: meta-llama/Llama-3.2-1B-Instruct
3
  datasets:
4
- - AvaLovelace/StableText2Lego
5
  language:
6
  - en
7
  library_name: peft
@@ -9,9 +9,9 @@ license: mit
9
  pipeline_tag: text-to-3d
10
  ---
11
 
12
- # Model Card for LegoGPT
13
 
14
- These are the model weights for LegoGPT, the first approach for generating physically stable LEGO brick models from text prompts, as described in [Generating Physically Stable and Buildable LEGO® Designs from Text](https://huggingface.co/papers/2505.05469).
15
  This model was fine-tuned from [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct).
16
 
17
  ## Model Details
@@ -24,13 +24,13 @@ This model was fine-tuned from [meta-llama/Llama-3.2-1B-Instruct](https://huggin
24
  - **Language(s):** English
25
  - **License:** MIT
26
  - **Finetuned from model:** [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct)
27
- - **Project page:** https://avalovelace1.github.io/LegoGPT/
28
 
29
  ### Model Sources
30
 
31
- - **Repository:** [AvaLovelace1/LegoGPT](https://github.com/AvaLovelace1/LegoGPT)
32
  - **Paper:** [Generating Physically Stable and Buildable LEGO® Designs from Text](https://huggingface.co/papers/2505.05469)
33
- - **Demo:** [cmu-gil/LegoGPT-Demo](https://huggingface.co/spaces/cmu-gil/LegoGPT-Demo)
34
 
35
  ## Limitations
36
 
@@ -38,13 +38,13 @@ The model is restricted to creating structures made of 1-unit-tall cuboid bricks
38
 
39
  ## How to Get Started with the Model
40
 
41
- See the [GitHub repo](https://github.com/AvaLovelace1/LegoGPT) for usage examples and an interactive CLI demo.
42
 
43
  ## Training Details
44
 
45
  ### Training Data
46
 
47
- LegoGPT was trained using [StableText2Lego](https://huggingface.co/datasets/AvaLovelace/StableText2Lego), a dataset of 47k LEGO structures.
48
 
49
  ### Training Procedure
50
 
@@ -75,7 +75,7 @@ See the [paper](https://huggingface.co/papers/2505.05469) for detailed evaluatio
75
  If you find this model useful for your research, please cite the following work.
76
 
77
  ```bibtex
78
- @article{pun2025legogpt,
79
  title = {Generating Physically Stable and Buildable LEGO Designs from Text},
80
  author = {Pun, Ava and Deng, Kangle and Liu, Ruixuan and Ramanan, Deva and Liu, Changliu and Zhu, Jun-Yan},
81
  journal = {arXiv preprint arXiv:2505.05469},
 
1
  ---
2
  base_model: meta-llama/Llama-3.2-1B-Instruct
3
  datasets:
4
+ - AvaLovelace/StableText2Brick
5
  language:
6
  - en
7
  library_name: peft
 
9
  pipeline_tag: text-to-3d
10
  ---
11
 
12
+ # Model Card for BrickGPT
13
 
14
+ These are the model weights for BrickGPT, the first approach for generating physically stable toy brick models from text prompts, as described in [Generating Physically Stable and Buildable LEGO® Designs from Text](https://huggingface.co/papers/2505.05469).
15
  This model was fine-tuned from [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct).
16
 
17
  ## Model Details
 
24
  - **Language(s):** English
25
  - **License:** MIT
26
  - **Finetuned from model:** [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct)
27
+ - **Project page:** https://avalovelace1.github.io/BrickGPT/
28
 
29
  ### Model Sources
30
 
31
+ - **Repository:** [AvaLovelace1/BrickGPT](https://github.com/AvaLovelace1/BrickGPT)
32
  - **Paper:** [Generating Physically Stable and Buildable LEGO® Designs from Text](https://huggingface.co/papers/2505.05469)
33
+ - **Demo:** [cmu-gil/BrickGPT-Demo](https://huggingface.co/spaces/cmu-gil/BrickGPT-Demo)
34
 
35
  ## Limitations
36
 
 
38
 
39
  ## How to Get Started with the Model
40
 
41
+ See the [GitHub repo](https://github.com/AvaLovelace1/BrickGPT) for usage examples and an interactive CLI demo.
42
 
43
  ## Training Details
44
 
45
  ### Training Data
46
 
47
+ BrickGPT was trained using [StableText2Brick](https://huggingface.co/datasets/AvaLovelace/StableText2Brick), a dataset of 47k toy brick structures.
48
 
49
  ### Training Procedure
50
 
 
75
  If you find this model useful for your research, please cite the following work.
76
 
77
  ```bibtex
78
+ @article{pun2025brickgpt,
79
  title = {Generating Physically Stable and Buildable LEGO Designs from Text},
80
  author = {Pun, Ava and Deng, Kangle and Liu, Ruixuan and Ramanan, Deva and Liu, Changliu and Zhu, Jun-Yan},
81
  journal = {arXiv preprint arXiv:2505.05469},