Merge pull request #152 from stanford-crfm/jonathan/0206-weekly-assets

standardize licenses

assets/01ai.yaml

@@ -19,7 +19,7 @@
     diversity of responses.
   access: open
   license:
-    explanation: can be found at https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE
+    explanation: Model license can be found at https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE. Code license is under Apache 2.0
     value: custom
   intended_uses: ''
   prohibited_uses: none
@@ -46,7 +46,7 @@
   quality_control: unknown
   access: open
   license:
-    explanation: can be found at https://huggingface.co/01-ai/Yi-VL-34B/blob/main/LICENSE
+    explanation: Model license can be found at https://huggingface.co/01-ai/Yi-VL-34B/blob/main/LICENSE. Code license is under Apache 2.0
     value: custom
   intended_uses: ''
   prohibited_uses: ''

assets/adept.yaml

@@ -64,7 +64,7 @@
   training_hardware: unknown
   quality_control: none
   access: open
-  license: CC BY NC 4.0
+  license: CC-BY-NC-4.0
   intended_uses: The model is intended for research purposes only.
   prohibited_uses: The model was not trained to be factual or true representations
     of people or events, and therefore using the model to generate such content

assets/ai2.yaml

@@ -61,7 +61,9 @@
   excluded: ''
   quality_control: ''
   access: open
-  license: MIT
+  license:
+    explanation: Data license is under ODC-By. Code license is under MIT
+    value: ODC-By
   intended_uses: ''
   prohibited_uses: ''
   monitoring: ''
@@ -109,7 +111,7 @@
   access: open
   license:
     explanation: license can be found at https://allenai.org/impact-license
-    value: custom
+    value: AI2 ImpACT
   intended_uses: ''
   prohibited_uses: ''
   monitoring: Quality filtration, deduplication, and risk mitigation via logistic
@@ -168,7 +170,9 @@
   training_hardware: unknown
   quality_control: ''
   access: open
-  license: AI2 ImpACT
+  license:
+    explanation: license can be found at https://allenai.org/impact-license
+    value: AI2 ImpACT
   intended_uses: ''
   prohibited_uses: ''
   monitoring: ''
@@ -191,7 +195,9 @@
   training_hardware: unknown
   quality_control: ''
   access: open
-  license: AI2 ImpACT
+  license:
+    explanation: license can be found at https://allenai.org/impact-license
+    value: AI2 ImpACT
   intended_uses: ''
   prohibited_uses: ''
   monitoring: ''
@@ -214,7 +220,9 @@
   training_hardware: unknown
   quality_control: ''
   access: open
-  license: AI2 ImpACT
+  license:
+    explanation: license can be found at https://allenai.org/impact-license
+    value: AI2 ImpACT
   intended_uses: ''
   prohibited_uses: ''
   monitoring: ''

assets/alibaba.yaml

@@ -73,7 +73,9 @@
     explanation: "Model checkpoints are available for download from the [[HuggingFace\
       \ repository]](https://huggingface.co/Qwen)\n"
     value: open
-  license: License information are described in [[Qwen  repository]](https://github.com/QwenLM/Qwen/blob/main/LICENSE)"
+  license:
+    explanation: Model license can be found at https://github.com/QwenLM/Qwen/blob/main/Tongyi%20Qianwen%20LICENSE%20AGREEMENT. Code license is under Apache 2.0
+    value: custom
   intended_uses: ''
   prohibited_uses: ''
   monitoring: Governed by the laws of China, without regard to conflict of law principles,
@@ -85,15 +87,12 @@
 - type: model
   name: Qwen 1.5
   organization: Qwen AI
-  description: Qwen 1.5 is the next iteration in their Qwen series, consisting of
-    Transformer-based large language models pretrained on a large volume of data,
-    including web texts, books, codes, etc.
+  description: Qwen 1.5 is the next iteration in their Qwen series, consisting of Transformer-based large language models pretrained on a large volume of data, including web texts, books, codes, etc.
   created_date: 2024-02-04
   url: https://qwenlm.github.io/blog/qwen1.5/
   model_card: https://huggingface.co/Qwen/Qwen1.5-72B
   modality: text; text
-  analysis: Evaluated on MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, CMMLU,
-    all standard English and Chinese benchmarks.
+  analysis: Evaluated on MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, CMMLU, all standard English and Chinese benchmarks.
   size: 72B parameters (dense)
   dependencies: []
   training_emissions: unknown
@@ -102,7 +101,7 @@
   quality_control: unknown
   access: open
   license:
-    explanation: can be found at https://huggingface.co/Qwen/Qwen1.5-72B/blob/main/LICENSE
+    explanation: Model license can be found at https://huggingface.co/Qwen/Qwen1.5-72B/blob/main/LICENSE
     value: custom
   intended_uses: ''
   prohibited_uses: ''

assets/baai.yaml

@@ -62,7 +62,7 @@
   training_hardware: 8 A100 40GB NVIDIA GPUs
   quality_control: ''
   access: open
-  license: custom non-commercial license
+  license: Apache 2.0
   intended_uses: Research on evaluating the performance of large language models
     and chatbots.
   prohibited_uses: none

assets/baichuan.yaml

@@ -17,7 +17,7 @@
   training_hardware: 1024 NVIDIA A800 GPUs
   quality_control: ''
   access: open
-  license: unknown
+  license: Apache 2.0
   intended_uses: ''
   prohibited_uses: ''
   monitoring: none

assets/columbia.yaml

@@ -22,7 +22,7 @@
   feedback: ''
 - type: model
   name: Ferret
-  organization: Columbia
+  organization: Columbia, Apple AI
   description: Ferret is a Multimodal Large Language Model (MLLM) capable of understanding
     spatial referring of any shape or granularity within an image and accurately
     grounding open-vocabulary descriptions.
@@ -38,7 +38,9 @@
   training_hardware: 8 A100 GPUs
   quality_control: ''
   access: open
-  license: unknown
+  license:
+    explanation: License can be found at https://github.com/apple/ml-ferret/blob/main/LICENSE
+    value: Apple
   intended_uses: ''
   prohibited_uses: ''
   monitoring: none

assets/deepmind.yaml

@@ -654,7 +654,7 @@
   training_time: unknown
   training_hardware: unknown
   quality_control: worked with artists and music industry to ensure utility
-  access: limited
+  access: closed
   license: unknown
   intended_uses: ''
   prohibited_uses: ''

assets/deepseek.yaml

@@ -19,7 +19,7 @@
     and deduplicated.
   access: open
   license:
-    explanation: can be found at https://github.com/deepseek-ai/DeepSeek-LLM/blob/main/LICENSE-MODEL
+    explanation: Model license can be found at https://github.com/deepseek-ai/DeepSeek-LLM/blob/main/LICENSE-MODEL. Code license is under MIT
     value: custom
   intended_uses: ''
   prohibited_uses: none
@@ -45,7 +45,7 @@
     and deduplicated.
   access: open
   license:
-    explanation: can be found at https://github.com/deepseek-ai/DeepSeek-LLM/blob/main/LICENSE-MODEL
+    explanation: Model license can be found at https://github.com/deepseek-ai/DeepSeek-LLM/blob/main/LICENSE-MODEL. Code license is under MIT
     value: custom
   intended_uses: ''
   prohibited_uses: none

assets/eleutherai.yaml

@@ -291,7 +291,7 @@
   excluded: ''
   quality_control: ''
   access: open
-  license: Same as dependencies
+  license: MIT
   intended_uses: ''
   prohibited_uses: ''
   monitoring: none

assets/google.yaml

@@ -1644,8 +1644,8 @@
   training_time: ''
   training_hardware: ''
   quality_control: ''
-  access: open
-  license: Google
+  access: closed
+  license: unknown
   intended_uses: ''
   prohibited_uses: ''
   monitoring: ''

assets/h2oai.yaml

@@ -39,7 +39,7 @@
   quality_control: unknown
   access: open
   license: Apache 2.0
-  intended_uses: ‘’
+  intended_uses: ''
   prohibited_uses: Users are encouraged to use the large language model responsibly
     and ethically. By using this model, you agree not to use it for purposes that
     promote hate speech, discrimination, harassment, or any form of illegal or harmful

assets/ibm.yaml

@@ -40,7 +40,9 @@
   output_space: deployed AI models
   quality_control: ''
   access: limited
-  license: ''
+  license:
+    explanation: License information can be found at https://www.ibm.com/docs/en/watsonxdata/1.0.x?topic=planning-licenses-entitlements
+    value: custom
   terms_of_service: https://www.ibm.com/docs/en/watsonx-as-a-service?topic=models-terms-use
   intended_uses: ''
   prohibited_uses: ''

assets/kaist.yaml

@@ -16,7 +16,7 @@
   excluded: ''
   quality_control: ''
   access: open
-  license: CC BY 4.0
+  license: CC-BY-NC-4.0
   intended_uses: ''
   prohibited_uses: ''
   monitoring: ''

assets/meta.yaml

@@ -604,7 +604,7 @@
     that doesn't require self-supervised semantic representation
   created_date: 2023-08-02
   url: https://huggingface.co/spaces/facebook/MusicGen/tree/main
-  model_card: https://huggingface.co/spaces/facebook/MusicGen/blob/main/MODEL_CARD.md
+  model_card: https://github.com/facebookresearch/audiocraft/blob/main/model_cards/MUSICGEN_MODEL_CARD.md
   modality:
     explanation: text; audio
     value: audio, text; audio, text
@@ -678,7 +678,7 @@
     images.
   created_date: 2023-09-27
   url: https://ai.meta.com/research/publications/emu-enhancing-image-generation-models-using-photogenic-needles-in-a-haystack/
-  model_card: ''
+  model_card: none
   modality: text; image
   analysis: Emu significantly outperforms a publicly available state-of-the-art
     model SDXLv1.0 on visual appeal when compared on standard benchmarks.
@@ -688,7 +688,7 @@
   training_time: ''
   training_hardware: ''
   quality_control: ''
-  access: open
+  access: closed
   license: unknown
   intended_uses: ''
   prohibited_uses: ''
@@ -740,7 +740,7 @@
   training_time: unknown
   training_hardware: unknown
   quality_control: ''
-  access: limited
+  access: closed
   license: unknown
   intended_uses: ''
   prohibited_uses: ''
@@ -764,7 +764,7 @@
   training_time: unknown
   training_hardware: unknown
   quality_control: ''
-  access: limited
+  access: closed
   license: unknown
   intended_uses: ''
   prohibited_uses: ''
@@ -788,7 +788,7 @@
   training_hardware: unknown
   quality_control: ''
   access: open
-  license: CC BY NC 4.0
+  license: CC-BY-NC-4.0
   intended_uses: ''
   prohibited_uses: ''
   monitoring: none

assets/microsoft.yaml

@@ -741,8 +741,9 @@
 - type: model
   name: WizardCoder
   organization: Microsoft
-  description: WizardCoder empowers Code LLMs with complex instruction fine-tuning,
-    by adapting the Evol-Instruct method to the domain of code.
+  description: 
+    explanation: WizardCoder refers to both a set of models fine-tuned on StarCoder and a set of models fined-tuned on Code LLaMA. This node refers to the set fine-tuned on StarCoder.
+    value: WizardCoder empowers Code LLMs with complex instruction fine-tuning, by adapting the Evol-Instruct method to the domain of code.
   created_date: 2023-08-26
   url: https://arxiv.org/pdf/2306.08568.pdf
   model_card: https://huggingface.co/WizardLM/WizardCoder-Python-34B-V1.0
@@ -758,7 +759,9 @@
   training_hardware: ''
   quality_control: ''
   access: open
-  license: Apache 2.0
+  license: 
+    explanation: Model license can be found at https://github.com/nlpxucan/WizardLM/blob/main/WizardCoder/MODEL_WEIGHTS_LICENSE. Code license is under Apache 2.0
+    value: BigCode Open Rail-M
   intended_uses: ''
   prohibited_uses: ''
   monitoring: ''
@@ -849,7 +852,7 @@
   training_hardware: 8x A6000-48GB (first-gen) GPUs
   quality_control: ''
   access: open
-  license: LLaMA2
+  license: LLaMA 2
   intended_uses: training and evaluation in the field of natural language processing.
   prohibited_uses: none
   monitoring: ''

assets/moonhub.yaml

@@ -11,8 +11,10 @@
   output_space: job candidate matches
   quality_control: ''
   access: limited
-  license: unknown
-  terms_of_service: https://aws.amazon.com/service-terms/
+  license:
+    explanation: License information can be found in terms of service
+    value: custom
+  terms_of_service: https://www.moonhub.ai/terms
   intended_uses: recruiting candidates for business needs
   prohibited_uses: none
   monitoring: ''

assets/openai.yaml

@@ -1385,7 +1385,9 @@
       Plus and Enterprise customers in October, via the API and in Labs later this
       fall.
     value: limited
-  license: unknown
+  license:
+    explanation: License information can be found at https://openai.com/policies/terms-of-use
+    value: custom
   intended_uses: The intended use of the DALL·E 3 Preview at this time is for personal,
     non-commercial exploration and research purposes by people who are interested
     in understanding the potential uses of these capabilities

assets/openx.yaml

@@ -21,7 +21,7 @@
   excluded: N/A
   quality_control: unknown
   access: open
-  license: unknown
+  license: Apache 2.0
   intended_uses: Further research on X-embodiment models.
   prohibited_uses: none
   monitoring: unknown
@@ -46,7 +46,7 @@
   training_hardware: unknown
   quality_control: unknown
   access: open
-  license: unknown
+  license: Apache 2.0
   intended_uses: Further research on X-embodiment models.
   prohibited_uses: none
   monitoring: unknown

assets/orion.yaml

@@ -17,7 +17,9 @@
   training_hardware: unknown
   quality_control: unknown
   access: open
-  license: Apache 2.0
+  license:
+    explanation: Model license can be found at https://github.com/OrionStarAI/Orion/blob/master/ModelsCommunityLicenseAgreement. Code license is under Apache 2.0
+    value: custom
   intended_uses: ''
   prohibited_uses: ''
   monitoring: unknown

assets/osu.yaml

@@ -17,7 +17,7 @@
   training_hardware: ''
   quality_control: ''
   access: open
-  license: Apache 2.0
+  license: MIT
   intended_uses: ''
   prohibited_uses: ''
   monitoring: ''