Merge pull request #260 from stanford-crfm/25-index-updates

add nationality

Author: jxue16

assets/01ai.yaml

@@ -1,56 +1,57 @@
----
-- type: model
-  name: Yi
-  organization: 01 AI
-  description: The Yi series models are large language models trained from scratch
-    by developers at 01 AI.
-  created_date: 2023-11-02
-  url: https://github.com/01-ai/Yi
-  model_card: https://huggingface.co/01-ai/Yi-34B
-  modality: text; text
+- access: open
   analysis: Evaluated on standard language benchmarks, common sense reasoning, and
     reading comprehension in comparison to SoTA LLMs.
-  size: 34B parameters (dense)
+  created_date: 2023-11-02
   dependencies: []
-  training_emissions: unknown
-  training_time: unknown
-  training_hardware: unknown
-  quality_control: Model underwent supervised fine-tuning, leading to a greater
-    diversity of responses.
-  access: open
+  description: The Yi series models are large language models trained from scratch
+    by developers at 01 AI.
+  feedback: https://huggingface.co/01-ai/Yi-34B/discussions
+  intended_uses: ''
   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
+  modality: text; text
+  model_card: https://huggingface.co/01-ai/Yi-34B
   monitoring: unknown
-  feedback: https://huggingface.co/01-ai/Yi-34B/discussions
-- type: model
-  name: Yi-VL
+  name: Yi
+  nationality: France
   organization: 01 AI
-  description: The Yi Vision Language (Yi-VL) model is the open-source, multimodal
-    version of the Yi Large Language Model (LLM) series, enabling content comprehension,
-    recognition, and multi-round conversations about images.
-  created_date: 2024-01-23
+  prohibited_uses: none
+  quality_control: Model underwent supervised fine-tuning, leading to a greater diversity
+    of responses.
+  size: 34B parameters (dense)
+  training_emissions: unknown
+  training_hardware: unknown
+  training_time: unknown
+  type: model
   url: https://github.com/01-ai/Yi
-  model_card: https://huggingface.co/01-ai/Yi-VL-34B
-  modality: text; text
-  analysis: Yi-VL outperforms all existing open-source models in MMMU and CMMMU,
-    two advanced benchmarks that include massive multi-discipline multimodal questions
+- access: open
+  analysis: Yi-VL outperforms all existing open-source models in MMMU and CMMMU, two
+    advanced benchmarks that include massive multi-discipline multimodal questions
     (based on data available up to January 2024).
-  size: 34B parameters (dense)
+  created_date: 2024-01-23
   dependencies: []
-  training_emissions: unknown
-  training_time: 10 days
-  training_hardware: 128 NVIDIA A800 (80G) GPUs
-  quality_control: unknown
-  access: open
+  description: The Yi Vision Language (Yi-VL) model is the open-source, multimodal
+    version of the Yi Large Language Model (LLM) series, enabling content comprehension,
+    recognition, and multi-round conversations about images.
+  feedback: https://huggingface.co/01-ai/Yi-VL-34B/discussions
+  intended_uses: ''
   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: ''
+  modality: text; text
+  model_card: https://huggingface.co/01-ai/Yi-VL-34B
   monitoring: unknown
-  feedback: https://huggingface.co/01-ai/Yi-VL-34B/discussions
+  name: Yi-VL
+  nationality: France
+  organization: 01 AI
+  prohibited_uses: ''
+  quality_control: unknown
+  size: 34B parameters (dense)
+  training_emissions: unknown
+  training_hardware: 128 NVIDIA A800 (80G) GPUs
+  training_time: 10 days
+  type: model
+  url: https://github.com/01-ai/Yi

assets/360.yaml

@@ -1,24 +1,23 @@
----
-- type: model
-  name: 360 Zhinao
-  organization: 360 Security
-  description: 360 Zhinao is a multilingual LLM in Chinese and English with chat
-    capabilities.
-  created_date: 2024-05-23
-  url: https://arxiv.org/pdf/2405.13386
-  model_card: none
-  modality: text; text
+- access: open
   analysis: Achieved competitive performance on relevant benchmarks against other
     7B models in Chinese, English, and coding tasks.
-  size: 7B parameters
+  created_date: 2024-05-23
   dependencies: []
-  training_emissions: unknown
-  training_time: unknown
-  training_hardware: unknwon
-  quality_control: ''
-  access: open
-  license: unknown
+  description: 360 Zhinao is a multilingual LLM in Chinese and English with chat capabilities.
+  feedback: none
   intended_uses: ''
-  prohibited_uses: ''
+  license: unknown
+  modality: text; text
+  model_card: none
   monitoring: ''
-  feedback: none
+  name: 360 Zhinao
+  nationality: China
+  organization: 360 Security
+  prohibited_uses: ''
+  quality_control: ''
+  size: 7B parameters
+  training_emissions: unknown
+  training_hardware: unknwon
+  training_time: unknown
+  type: model
+  url: https://arxiv.org/pdf/2405.13386

assets/adept.yaml

@@ -1,100 +1,103 @@
----
-- type: model
-  name: ACT-1
-  organization: Adept
-  description: ACT-1 (ACtion Transformer) is a large-scale transformer model designed
-    and trained specifically for taking actions on computers (use software tools
-    APIs and websites) in response to the user's natural language commands.
+- access: closed
+  analysis: ''
   created_date:
     explanation: The date the model was announced in the [[Adept blog post]](https://www.adept.ai/blog/act-1).
     value: 2022-09-14
-  url: https://www.adept.ai/blog/act-1
-  model_card: none
+  dependencies: []
+  description: ACT-1 (ACtion Transformer) is a large-scale transformer model designed
+    and trained specifically for taking actions on computers (use software tools APIs
+    and websites) in response to the user's natural language commands.
+  feedback: ''
+  intended_uses: ''
+  license: unknown
   modality: text; text
-  analysis: ''
+  model_card: none
+  monitoring: ''
+  name: ACT-1
+  nationality: USA
+  organization: Adept
+  prohibited_uses: ''
+  quality_control: ''
   size: ''
-  dependencies: []
   training_emissions: unknown
-  training_time: unknown
   training_hardware: unknown
-  quality_control: ''
-  access: closed
-  license: unknown
+  training_time: unknown
+  type: model
+  url: https://www.adept.ai/blog/act-1
+- access: open
+  analysis: Evaluated in comparison to LLaMA 2 and MPT Instruct, and outperforms both
+    on standard benchmarks.
+  created_date: 2023-09-07
+  dependencies: []
+  description: Persimmon is the most capable open-source, fully permissive model with
+    fewer than 10 billion parameters, as of its release date.
+  feedback: ''
   intended_uses: ''
-  prohibited_uses: ''
+  license: Apache 2.0
+  modality: text; text
+  model_card: ''
   monitoring: ''
-  feedback: ''
-- type: model
   name: Persimmon
+  nationality: USA
   organization: Adept
-  description: Persimmon is the most capable open-source, fully permissive model
-    with fewer than 10 billion parameters, as of its release date.
-  created_date: 2023-09-07
-  url: https://www.adept.ai/blog/persimmon-8b
-  model_card: ''
-  modality: text; text
-  analysis: Evaluated in comparison to LLaMA 2 and MPT Instruct, and outperforms
-    both on standard benchmarks.
+  prohibited_uses: ''
+  quality_control: ''
   size: 8B parameters (dense)
-  dependencies: []
   training_emissions: ''
-  training_time: ''
   training_hardware: ''
-  quality_control: ''
-  access: open
-  license: Apache 2.0
-  intended_uses: ''
-  prohibited_uses: ''
-  monitoring: ''
-  feedback: ''
-- type: model
-  name: Fuyu
-  organization: Adept
+  training_time: ''
+  type: model
+  url: https://www.adept.ai/blog/persimmon-8b
+- access: open
+  analysis: Evaluated on standard image understanding benchmarks.
+  created_date: 2023-10-17
+  dependencies: []
   description: Fuyu is a small version of the multimodal model that powers Adept's
     core product.
-  created_date: 2023-10-17
-  url: https://www.adept.ai/blog/fuyu-8b
-  model_card: https://huggingface.co/adept/fuyu-8b
+  feedback: https://huggingface.co/adept/fuyu-8b/discussions
+  intended_uses: The model is intended for research purposes only.
+  license: CC-BY-NC-4.0
   modality: image, text; text
-  analysis: Evaluated on standard image understanding benchmarks.
+  model_card: https://huggingface.co/adept/fuyu-8b
+  monitoring: ''
+  name: Fuyu
+  nationality: USA
+  organization: Adept
+  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 is
+    out-of-scope for the abilities of this model.
+  quality_control: none
   size: 8B parameters (dense)
-  dependencies: []
   training_emissions: unknown
-  training_time: unknown
   training_hardware: unknown
-  quality_control: none
-  access: open
-  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
-    is out-of-scope for the abilities of this model.
-  monitoring: ''
-  feedback: https://huggingface.co/adept/fuyu-8b/discussions
-- type: model
-  name: Fuyu Heavy
-  organization: Adept
+  training_time: unknown
+  type: model
+  url: https://www.adept.ai/blog/fuyu-8b
+- access: closed
+  analysis: Evaluated on the MMLU, GSM8K, MATH, and HumanEval benchmarks. According
+    to these benchmarks, Fuyu-Heavy is, as of release, the strongest multimodal model
+    trained outside of Google or OpenAI.
+  created_date: 2024-01-24
+  dependencies: []
   description: Fuyu Heavy is a new multimodal model designed specifically for digital
     agents.
-  created_date: 2024-01-24
-  url: https://www.adept.ai/blog/adept-fuyu-heavy
-  model_card: none
+  feedback: none
+  intended_uses: unknown
+  license: unknown
   modality: image, text; text
-  analysis: Evaluated on the MMLU, GSM8K, MATH, and HumanEval benchmarks. According
-    to these benchmarks, Fuyu-Heavy is, as of release, the strongest multimodal
-    model trained outside of Google or OpenAI.
+  model_card: none
+  monitoring: ''
+  name: Fuyu Heavy
+  nationality: USA
+  organization: Adept
+  prohibited_uses: none
+  quality_control: none
   size:
     explanation: The size of the model is 10-20 times smaller than GPT-4V and Gemini
       Ultra, as per announcement.
     value: unknown
-  dependencies: []
   training_emissions: unknown
-  training_time: unknown
   training_hardware: unknown
-  quality_control: none
-  access: closed
-  license: unknown
-  intended_uses: unknown
-  prohibited_uses: none
-  monitoring: ''
-  feedback: none
+  training_time: unknown
+  type: model
+  url: https://www.adept.ai/blog/adept-fuyu-heavy