diff --git a/assets/ai2.yaml b/assets/ai2.yaml
index dc9e232b..2c890050 100644
--- a/assets/ai2.yaml
+++ b/assets/ai2.yaml
@@ -21,3 +21,75 @@
   prohibited_uses: ''
   monitoring: ''
   feedback: ''
+
+- type: dataset
+  name: SODA
+  organization: AI2
+  description: SODA is the first publicly available, million-scale, high-quality
+    dialogue dataset covering a wide range of social interactions.
+  created_date: 2023-05-24
+  url: https://arxiv.org/pdf/2212.10465.pdf
+  datasheet: https://huggingface.co/datasets/allenai/soda
+  modality: text
+  size: 1.5M dialogues
+  sample: []
+  analysis: Randomly sampled dialogues from dataset are evaluated according to six
+    established criteria of natural flow, context dependence, topic consistency,
+    speaker consistency, specificity, and overall.
+  dependencies: []
+  included: ''
+  excluded: ''
+  quality_control: ''
+  access: open
+  license: CC BY 4.0
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+
+- type: dataset
+  name: Multimodal C4
+  organization: AI2
+  description: An augmentation of C4 with images added and made openly available.
+  created_date: 2023-06-09
+  url: https://arxiv.org/pdf/2304.06939.pdf
+  datasheet: ''
+  modality: text and images
+  size: 43B English tokens with 101.2M documents and 571M images
+  sample: []
+  analysis: Conducted experiments on models trained with Multimodal C4 in comparison
+    to models trained on single image/caption datasets
+  dependencies: [C4]
+  included: ''
+  excluded: ''
+  quality_control: ''
+  access: open
+  license: MIT
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+
+- type: model
+  name: COSMO
+  organization: AI2
+  description: COSMO is a conversation agent with greater generalizability on both
+    in- and out-of-domain chitchat datasets
+  created_date: 2023-05-24
+  url: https://arxiv.org/pdf/2212.10465.pdf
+  model_card: https://huggingface.co/allenai/cosmo-xl
+  modality: text
+  analysis: Evaluated by human testers on generalization capabilities and responses
+    compared to other chatbots.
+  size: 11B parameters
+  dependencies: [SODA, ProsocialDialog, T5]
+  training_emissions: unknown
+  training_time: unknown
+  training_hardware: v3-128 TPU accelerators with batch size 256
+  quality_control: ''
+  access: open
+  license: ''
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: https://huggingface.co/allenai/cosmo-xl/discussions
diff --git a/assets/aleph_alpha.yaml b/assets/aleph_alpha.yaml
index b7b635f6..587a9aca 100644
--- a/assets/aleph_alpha.yaml
+++ b/assets/aleph_alpha.yaml
@@ -100,3 +100,26 @@
   monthly_active_users: unknown
   user_distribution: unknown
   failures: unknown
+
+- type: model
+  name: MAGMA
+  organization: Aleph Alpha
+  description: An autoregressive VL model that is able to generate text from an
+    arbitrary combination of visual and textual input
+  created_date: 2022-10-24
+  url: https://arxiv.org/pdf/2112.05253.pdf
+  model_card: ''
+  modality: image and text input with natural language text output
+  analysis: Evaluated on the OKVQA benchmark as a fully open-ended generative task.
+  size: 6B parameters
+  dependencies: [GPT-J, CLIP]
+  training_emissions: ''
+  training_time: ''
+  training_hardware: 32 A100 GPUs
+  quality_control: ''
+  access: open
+  license: MIT
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
diff --git a/assets/amazon.yaml b/assets/amazon.yaml
new file mode 100644
index 00000000..94a67a4a
--- /dev/null
+++ b/assets/amazon.yaml
@@ -0,0 +1,32 @@
+---
+
+- type: application
+  name: Bedrock
+  organization: Amazon
+  description: Bedrock is a new service that makes FMs from AI21 Labs, Anthropic,
+    Stability AI, and Amazon accessible via an API. Bedrock is intended for customers
+    to build and scale generative AI-based applications using FMs, democratizing
+    access for all builders. using an API.
+  created_date: 2023-04-13
+  url: https://aws.amazon.com/bedrock/
+  dependencies:
+    - Jurassic-2
+    - Claude
+    - Stable Diffusion
+    - Amazon Titan
+    - Claude 2
+    - Cohere Command
+  adaptation: ''
+  output_space: foundation models made accessible via an API
+  quality_control: ''
+  access: limited
+  license: unknown
+  terms_of_service: https://aws.amazon.com/service-terms/
+  intended_uses: allowing companies to incorporate generative AI into their business
+    models
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+  monthly_active_users: ''
+  user_distribution: ''
+  failures: ''
diff --git a/assets/anthropic.yaml b/assets/anthropic.yaml
index 385d53ed..b47dc7b3 100644
--- a/assets/anthropic.yaml
+++ b/assets/anthropic.yaml
@@ -594,3 +594,36 @@
   prohibited_uses: ''
   monitoring: ''
   feedback: ''
+
+- type: model
+  name: Claude 2
+  organization: Anthropic
+  description: Claude 2 is a more evolved and refined version of Claude, which is
+    a general purpose large language model using a transformer architecture and
+    trained via unsupervised learning.
+  created_date: 2023-07-11
+  url: https://www.anthropic.com/index/claude-2
+  model_card: https://www-files.anthropic.com/production/images/Model-Card-Claude-2.pdf
+  modality: text
+  analysis: Evaluated with human feedback on helpfulness, harmfulness, and honesty
+    and on the Bias Benchmark for QA.
+  size: ''
+  dependencies:
+    - Claude human feedback data
+    - Unknown licensed third party datasets
+  training_emissions: ''
+  training_time: ''
+  training_hardware: unknown
+  quality_control: ''
+  access: open
+  license: ''
+  intended_uses: Claude 2 tends to perform well at general, open-ended conversation;
+    search, writing, editing, outlining, and summarizing text; coding; and providing
+    helpful advice about a broad range of subjects. Claude 2 is particularly well
+    suited to support creative or literary use cases. They can take direction on
+    tone and “personality,” and users have described them as feeling steerable and
+    conversational.
+  prohibited_uses: Claude 2 should not be used on their own in high stakes situations
+    where an incorrect answer would cause harm.
+  monitoring: ''
+  feedback: ''
diff --git a/assets/autogpt.yaml b/assets/autogpt.yaml
new file mode 100644
index 00000000..5a3a040f
--- /dev/null
+++ b/assets/autogpt.yaml
@@ -0,0 +1,23 @@
+---
+
+- type: application
+  name: Auto-GPT
+  organization: Auto-GPT
+  description: Auto-GPT is an experimental open-source application showcasing the
+    capabilities of the GPT-4 language model.
+  created_date: 2023-04-16
+  url: https://news.agpt.co/
+  dependencies: [GPT-4 API]
+  adaptation: GPT-4 adapted to run autonomously by chaining together LLM "thoughts"
+  output_space: text
+  quality_control: ''
+  access: open
+  license: MIT
+  terms_of_service: ''
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+  monthly_active_users: ''
+  user_distribution: ''
+  failures: ''
diff --git a/assets/berkeley.yaml b/assets/berkeley.yaml
new file mode 100644
index 00000000..e8bab3a0
--- /dev/null
+++ b/assets/berkeley.yaml
@@ -0,0 +1,72 @@
+---
+
+- type: model
+  name: Koala
+  organization: Berkeley
+  description: A relatively small chatbot trained by fine-tuning Meta’s LLaMA on
+    dialogue data gathered from the web.
+  created_date: 2023-04-03
+  url: https://bair.berkeley.edu/blog/2023/04/03/koala/
+  model_card: https://huggingface.co/TheBloke/koala-7B-GPTQ-4bit-128g
+  modality: natural language text
+  analysis: Evaluated in comparison with ChatGPT and Stanford Alpaca.
+  size: 13B parameters
+  dependencies: [LLaMA, web-scraped dialogue data]
+  training_emissions: ''
+  training_time: 6 hours
+  training_hardware: 8 A100 GPUs
+  quality_control: ''
+  access: open
+  license: Apache 2.0
+  intended_uses: academic research
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: https://huggingface.co/TheBloke/koala-7B-GPTQ-4bit-128g/discussions
+
+- type: model
+  name: Gorilla
+  organization: Berkeley
+  description: Gorilla is a finetuned LLaMA-based model that surpasses the performance
+    of GPT-4 on writing API calls.
+  created_date: 2023-05-24
+  url: https://arxiv.org/pdf/2305.15334v1.pdf
+  model_card: ''
+  modality: outputs API from natural language input
+  analysis: Evaluated using AST sub-tree matching technique and compared to other
+    models in terms of API functionality accuracy.
+  size: 7B parameters
+  dependencies: [LLaMA, Gorilla document retriever]
+  training_emissions: ''
+  training_time: ''
+  training_hardware: ''
+  quality_control: No specific quality control is mentioned in model training, though
+    details on data processing and collection are provided in the paper.
+  access: open
+  license: Apache 2.0
+  intended_uses: In conjunction with a LLM to improve its capability for using API
+    calls.
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+
+- type: model
+  name: OpenLLaMA
+  organization: Berkeley
+  description: OpenLlama is an open source reproduction of Meta's LLaMA model.
+  created_date: 2023-05-03
+  url: https://github.com/openlm-research/open_llama
+  model_card: ''
+  modality: text
+  analysis: Evaluated on wide range of tasks using own evaluation benchmarks.
+  size: 17B parameters
+  dependencies: [RedPajama]
+  training_emissions: unknown
+  training_time: unknown
+  training_hardware: ''
+  quality_control: ''
+  access: open
+  license: Apache 2.0
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
diff --git a/assets/bigcode.yaml b/assets/bigcode.yaml
new file mode 100644
index 00000000..4a5362ea
--- /dev/null
+++ b/assets/bigcode.yaml
@@ -0,0 +1,76 @@
+---
+
+- type: model
+  name: StarCoder
+  organization: BigCode
+  description: StarCoder is a Large Language Model for Code (Code LLM) trained on
+    permissively licensed data from GitHub, including from 80+ programming languages,
+    Git commits, GitHub issues, and Jupyter notebooks.
+  created_date: 2023-05-09
+  url: https://arxiv.org/pdf/2305.06161.pdf
+  model_card: https://huggingface.co/bigcode/starcoder
+  modality: code (80+ programming languages)
+  analysis: Tested on several benchmarks, most notably Python benchmark HumanEval.
+  size: 15.5B parameters
+  dependencies: [The Stack]
+  training_emissions: 16.68 tons of CO2eq
+  training_time: 2 days
+  training_hardware: 64 NVIDIA A100 GPUs
+  quality_control: No specific quality control is mentioned in model training, though
+    details on data processing and how the tokenizer was trained are provided in
+    the paper.
+  access: open
+  license: Apache 2.0
+  intended_uses: With a Tech Assistant prompt and not as an instruction model given
+    training limitations.
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: https://huggingface.co/bigcode/starcoder/discussions
+
+- type: model
+  name: SantaCoder
+  organization: BigCode
+  description: Multilingual code model derived from findings of BigCode Project
+    analysis on Github stars' association to data quality.
+  created_date: 2023-02-24
+  url: https://arxiv.org/pdf/2301.03988.pdf
+  model_card: ''
+  modality: code
+  analysis: Evaluated on MultiPL-E system benchmarks.
+  size: 1.1B parameters
+  dependencies: [The Stack, BigCode Dataset]
+  training_emissions: ''
+  training_time: 3.1 days
+  training_hardware: 96 NVIDIA Tesla V100 GPUs
+  quality_control: ''
+  access: open
+  license: Apache 2.0
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+
+- type: dataset
+  name: The Stack
+  organization: BigCode
+  description: The Stack is a 3.1 TB dataset consisting of permissively licensed
+    source code inteded for use in creating code LLMs.
+  created_date: 2022-11-20
+  url: https://arxiv.org/pdf/2211.15533.pdf
+  datasheet: https://huggingface.co/datasets/bigcode/the-stack
+  modality: code (358 programming languages)
+  size: 3.1 TB
+  sample: []
+  analysis: Evaluated models trained on The Stack on HumanEval and MBPP and compared
+    against similarly-sized models.
+  dependencies: [GitHub]
+  included: ''
+  excluded: ''
+  quality_control: allowed users whose data were part of The Stack's training data
+    to opt-out
+  access: open
+  license: Apache 2.0
+  intended_uses: creating code LLMs
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
diff --git a/assets/casia.yaml b/assets/casia.yaml
new file mode 100644
index 00000000..0634f801
--- /dev/null
+++ b/assets/casia.yaml
@@ -0,0 +1,25 @@
+---
+
+- type: model
+  name: BigTrans
+  organization: Institute of Automation Chinese Academy of Sciences
+  description: BigTrans is a model which adapts LLaMA that covers only 20 languages
+    and enhances it with multilingual translation capability on more than 100 languages
+  created_date: 2023-05-29
+  url: https://arxiv.org/pdf/2305.18098v1.pdf
+  model_card: https://huggingface.co/James-WYang/BigTrans
+  modality: text
+  analysis: Reports results on standard translation benchmarks across 102 languages
+    in comparison with Google Translate and ChatGPT
+  size: 13B parameters (dense model)
+  dependencies: [LLaMA, CLUE, BigTrans parallel dataset]
+  training_emissions: unknown
+  training_time: unknown
+  training_hardware: 16 A100 GPUs with 80 GB of RAM
+  quality_control: ''
+  access: open
+  license: Apache 2.0
+  intended_uses: Advancing future research in multilingual LLMs
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: https://huggingface.co/James-WYang/BigTrans/discussions
diff --git a/assets/chatglm.yaml b/assets/chatglm.yaml
new file mode 100644
index 00000000..5bb6d82e
--- /dev/null
+++ b/assets/chatglm.yaml
@@ -0,0 +1,24 @@
+---
+
+- type: model
+  name: ChatGLM
+  organization: ChatGLM
+  description: ChatGLM is a Chinese-English language model with question and answer
+    and dialogue functions, and is aimed at a Chinese audience.
+  created_date: 2023-03-14
+  url: https://chatglm.cn/blog
+  model_card: ''
+  modality: text
+  analysis: Performance evaluated on English and Chinese language benchmark tests.
+  size: 6B parameters
+  dependencies: []
+  training_emissions: unknown
+  training_time: unknown
+  training_hardware: ''
+  quality_control: ''
+  access: open
+  license: Apache 2.0
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
diff --git a/assets/columbia.yaml b/assets/columbia.yaml
new file mode 100644
index 00000000..2ca39802
--- /dev/null
+++ b/assets/columbia.yaml
@@ -0,0 +1,23 @@
+---
+
+- type: model
+  name: OpenFold
+  organization: Columbia
+  description: OpenFold is an open source recreation of AlphaFold2.
+  created_date: 2022-11-20
+  url: https://www.biorxiv.org/content/10.1101/2022.11.20.517210v2
+  model_card: ''
+  modality: protein structures
+  analysis: Evaluated on wide range of tasks using own evaluation benchmarks.
+  size: ''
+  dependencies: [AlphaFold2, OpenProteinSet]
+  training_emissions: unknown
+  training_time: 50,000 GPU hours
+  training_hardware: Single A100 NVIDIA GPU
+  quality_control: ''
+  access: open
+  license: CC BY 4.0
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
diff --git a/assets/eleutherai.yaml b/assets/eleutherai.yaml
index c79165bb..524c8010 100644
--- a/assets/eleutherai.yaml
+++ b/assets/eleutherai.yaml
@@ -267,3 +267,51 @@
   monthly_active_users: unknown
   user_distribution: unknown
   failures: unknown
+
+- type: model
+  name: VQGAN-CLIP
+  organization: EleutherAI
+  description: VQGAN-CLIP is a model that better generates and edits images using
+    a multimodal encoder to guide image generation.
+  created_date: 2022-09-04
+  url: https://arxiv.org/pdf/2204.08583.pdf
+  model_card: ''
+  modality: text input with image output
+  analysis: Evaluated by human testers rating alignment of text input, image output
+    pairs.
+  size: 227M parameters
+  dependencies: [VQGAN, CLIP]
+  training_emissions: unknown
+  training_time: Less than 1 V100-hour
+  training_hardware: 1 NVIDIA Tesla K80 GPU
+  quality_control: ''
+  access: open
+  license: MIT
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+
+- type: model
+  name: Pythia
+  organization: Eleuther AI
+  description: A suite of 16 LLMs all trained on public data seen in the exact same
+    order and ranging in size from 70M to 12B parameters
+  created_date: 2023-05-31
+  url: https://arxiv.org/pdf/2304.01373.pdf
+  model_card: https://huggingface.co/EleutherAI/pythia-12b
+  modality: natural language text
+  analysis: Evaluated on a variety of NLP benchmarks and found to perform similarly
+    to OPT and BLOOM models.
+  size: 12B parameters
+  dependencies: [The Pile]
+  training_emissions: ''
+  training_time: ''
+  training_hardware: 64 A100 GPUs
+  quality_control: ''
+  access: open
+  license: Apache 2.0
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: https://huggingface.co/EleutherAI/pythia-6.9b/discussions
diff --git a/assets/faraday.yaml b/assets/faraday.yaml
new file mode 100644
index 00000000..7c986cb4
--- /dev/null
+++ b/assets/faraday.yaml
@@ -0,0 +1,27 @@
+---
+
+- type: application
+  name: ARES
+  organization: Faraday Lab
+  description: ARES is a text-to-image generator based on Stable Diffusion. The
+    goal is to provide a simple tool with a user interface allowing mainstream AI
+    access for artists and creators.
+  created_date:
+    value: 2023-04-26
+    explanation: The date Faraday Lab's hugging face card was last updated. Date
+      for ARES release is not published on site.
+  url: https://faradaylab.fr/
+  dependencies: [Stable Diffusion]
+  adaptation: ''
+  output_space: generated images
+  quality_control: ''
+  access: open
+  license: unknown
+  terms_of_service: ''
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+  monthly_active_users: ''
+  user_distribution: ''
+  failures: ''
diff --git a/assets/google.yaml b/assets/google.yaml
index 09556eee..fb56a8dc 100644
--- a/assets/google.yaml
+++ b/assets/google.yaml
@@ -615,7 +615,7 @@
   training_time: unknown
   training_hardware: 128 TPU-v4
   quality_control: ''
-  access: closed
+  access: open
   license:
     value: unknown
     explanation: >
@@ -770,6 +770,32 @@
   monitoring: ''
   feedback: ''
 
+- type: model
+  name: Med-PaLM Multimodal
+  organization: Google
+  description: ''
+  created_date: 2023-07-26
+  url: https://arxiv.org/pdf/2307.14334.pdf
+  model_card: ''
+  modality: text, image, and genomics input with text output
+  analysis: Evaluated on MultiMedBench tasks and radiologist evaluations of model-generated
+    chest X-ray reports
+  size: 562B parameters (dense)
+  dependencies: [PaLM-E, MultiMedBench]
+  training_emissions: ''
+  training_time: ''
+  training_hardware: ''
+  quality_control: ''
+  access: closed
+  license:
+    value: unknown
+    explanation: >
+      The asset isn't released, and hence the license is unknown.
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+
 - type: model
   name: MultiMedQA
   organization: Google
@@ -1904,3 +1930,56 @@
   prohibited_uses: ''
   monitoring: ''
   feedback: ''
+
+- type: model
+  name: Google Joint SLM
+  organization: Google
+  description: Joint speech and language model using a Speech2Text adapter and using
+    a CTC-based blank-filtering.
+  created_date: 2023-06-08
+  url: https://arxiv.org/pdf/2306.07944.pdf
+  model_card: ''
+  modality: speech input with textual output
+  analysis: evaluated on DSTC11 Challenge Task, based on MultiWoz 2.1, with a focus
+    on dialog state tracking.
+  size: ''
+  dependencies: [CTC blank-filtering, Speech2Text adapter]
+  training_emissions: ''
+  training_time: ''
+  training_hardware: ''
+  quality_control: ''
+  access: open
+  license: Google
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+
+- type: model
+  name: PaLM 2
+  organization: Google
+  description: PaLM2 is a new state-of-the-art language model that has better multilingual
+    and reasoning capabilities and is more compute-efficient than its predecessor
+    PaLM. PaLM 2 is a Transformer-based model trained using a mixture of objectives
+    similar to UL2.
+  created_date: 2023-05-10
+  url: https://blog.google/technology/ai/google-palm-2-ai-large-language-model/
+  model_card: https://ai.google/static/documents/palm2techreport.pdf
+  modality: text (input and output)
+  analysis: Reports results on standard code benchmarks across a variety of programming
+    languages.
+  size: 3.6T parameters
+  dependencies: [palm 2 dataset]
+  training_emissions: ''
+  training_time: ''
+  training_hardware: TPU v4 (number unspecified)
+  quality_control: Employed de-duplication, removal of sensitive-PII and filtering.
+    Added control tokens marking toxicity of text.
+  access: open
+  license: Google
+  intended_uses: general use large language model that can be used for language,
+    reasoning, and code tasks.
+  prohibited_uses: becoming part of a general-purpose service or product or use
+    within specific downstream applications without prior assessment
+  monitoring: Google internal monitoring
+  feedback: Specific queries provided by annotators
diff --git a/assets/h2oai.yaml b/assets/h2oai.yaml
new file mode 100644
index 00000000..601e629d
--- /dev/null
+++ b/assets/h2oai.yaml
@@ -0,0 +1,23 @@
+---
+
+- type: model
+  name: h2oGPT
+  organization: H2O AI
+  description: Series of models fine-tuned on well-known LLMs using the h2oGPT repositories.
+  created_date: 2023-06-16
+  url: https://arxiv.org/pdf/2306.08161.pdf
+  model_card: https://huggingface.co/h2oai/h2ogpt-oasst1-512-20b
+  modality: text
+  analysis: Evaluated on EleutherAI evaluation harness.
+  size: 20B parameters
+  dependencies: [GPT-NeoX, H2O AI OpenAssistant, h2oGPT Repositories]
+  training_emissions: unknown
+  training_time: unknown
+  training_hardware: unspecified number of 48GB A100 NVIDIA GPUs
+  quality_control: ''
+  access: open
+  license: Apache 2.0
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: https://huggingface.co/h2oai/h2ogpt-oasst1-512-20b/discussions
diff --git a/assets/inflection.yaml b/assets/inflection.yaml
new file mode 100644
index 00000000..5113a5f1
--- /dev/null
+++ b/assets/inflection.yaml
@@ -0,0 +1,49 @@
+---
+
+- type: model
+  name: Inflection-1
+  organization: Inflection AI
+  description: Inflection AI's in-house LLM, which powers Pi and will soon be available
+    via Inflection AI's conversational API.
+  created_date: 2023-06-22
+  url: https://inflection.ai/inflection-1
+  model_card: ''
+  modality: text
+  analysis: Evaluated on wide range of language benchmarks like MMLU 5-shot, GSM-8K,
+    and HellaSwag 10-shot among others.
+  size:
+    value: unknown
+    explanation: Designed to be roughly around Chat-GPT's size (175B parameters).
+  dependencies: []
+  training_emissions: ''
+  training_time: ''
+  training_hardware: unknown
+  quality_control: ''
+  access: limited
+  license: unknown
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+
+- type: application
+  name: Pi
+  organization: Inflection AI
+  description: Personal AI chatbot designed to be conversational and specialized
+    in emotional intelligence.
+  created_date: 2023-05-02
+  url: https://inflection.ai/press
+  dependencies: [Inflection-1]
+  adaptation: ''
+  output_space: natural language text responses
+  quality_control: ''
+  access: limited
+  license: unknown
+  terms_of_service: ''
+  intended_uses: to be used as a personal assistant chatbot for everyday activities
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+  monthly_active_users: ''
+  user_distribution: ''
+  failures: ''
diff --git a/assets/laion.yaml b/assets/laion.yaml
index 9d026ebc..6a62325e 100644
--- a/assets/laion.yaml
+++ b/assets/laion.yaml
@@ -154,3 +154,27 @@
     from using LAION-2B-en for non-research purposes.
   monitoring: ''
   feedback: ''
+
+- type: model
+  name: OpenFlamingo
+  organization: LAION
+  description: An open-source reproduction of DeepMind's Flamingo model. At its
+    core, OpenFlamingo is a framework that enables training and evaluation of large
+    multimodal models (LMMs).
+  created_date: 2023-03-28
+  url: https://laion.ai/blog/open-flamingo/
+  model_card: https://github.com/mlfoundations/open_flamingo/blob/main/MODEL_CARD.md
+  modality: image and text input with textual output
+  analysis: Evaluated on COCO captioning and VQAv2 vision-language tasks.
+  size: 9B parameters
+  dependencies: [LLaMA, CLIP]
+  training_emissions: ''
+  training_time: ''
+  training_hardware: ''
+  quality_control: ''
+  access: open
+  license: MIT
+  intended_uses: academic research purposes
+  prohibited_uses: commercial use
+  monitoring: ''
+  feedback: ''
diff --git a/assets/lehigh.yaml b/assets/lehigh.yaml
new file mode 100644
index 00000000..9e8df418
--- /dev/null
+++ b/assets/lehigh.yaml
@@ -0,0 +1,30 @@
+---
+
+- type: model
+  name: BiomedGPT
+  organization: Lehigh University
+  description: BiomedGPT leverages self-supervision on large and diverse datasets
+    to accept multi-modal inputs and perform a range of downstream tasks.
+  created_date: 2023-05-26
+  url: https://arxiv.org/pdf/2305.17100.pdf
+  model_card: ''
+  modality: image and text input, text output
+  analysis: outperforms majority of preceding state-of-the-art models over 15 unique
+    biomedical modalities.
+  size: 472M parameters
+  dependencies:
+    - GPT-style autoregressive decoder
+    - BiomedGPT biomedical datasets
+  training_emissions: unknown
+  training_time: unknown
+  training_hardware: 10 NVIDIA A5000 GPUs
+  quality_control: No specific quality control is mentioned in model training, though
+    details on data processing and how the model was trained are provided in the
+    paper.
+  access: open
+  license: Apache 2.0
+  intended_uses: furthering research in developing unified and generalist models
+    for biomedicine.
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
diff --git a/assets/lmsys.yaml b/assets/lmsys.yaml
new file mode 100644
index 00000000..6f07781e
--- /dev/null
+++ b/assets/lmsys.yaml
@@ -0,0 +1,24 @@
+---
+
+- type: model
+  name: Vicuna
+  organization: LMSYS
+  description: An open-source chatbot trained by fine-tuning LLaMA on user-shared
+    conversations collected from ShareGPT.
+  created_date: 2023-03-30
+  url: https://lmsys.org/blog/2023-03-30-vicuna/
+  model_card: https://huggingface.co/lmsys/vicuna-13b-delta-v0
+  modality: natural language text
+  analysis: Evaluated against similar LLMs using GPT-4 as a judge.
+  size: 13B parameters
+  dependencies: [LLaMA, ShareGPT conversations data]
+  training_emissions: ''
+  training_time: 1 day
+  training_hardware: 8 A100 GPUs
+  quality_control: ''
+  access: open
+  license: Apache 2.0
+  intended_uses: research on LLMs and chatbots
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: https://huggingface.co/datasets/bigcode/the-stack/discussions
diff --git a/assets/meta.yaml b/assets/meta.yaml
index 0fdf0efa..c44d7474 100644
--- a/assets/meta.yaml
+++ b/assets/meta.yaml
@@ -369,7 +369,7 @@
       Authors do not mention or provide a feedback mechanism.
 
 - type: model
-  name: LLaMa
+  name: LLaMA
   organization: Meta
   description: ''
   created_date: 2023-02-24
@@ -397,6 +397,36 @@
   monitoring: ''
   feedback: ''
 
+- type: model
+  name: LLaMA 2
+  organization: Meta
+  description: LLaMA 2 is an updated version of LLaMA trained on a new mix of publicly
+    available data.
+  created_date: 2023-07-18
+  url: https://ai.meta.com/resources/models-and-libraries/llama/
+  model_card: Can be found at appendix of paper at https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/
+  modality: text
+  analysis: Evaluated on standard academic benchmarks and internal Meta libraries.
+  size: 70B parameters (dense model)
+  dependencies: []
+  training_emissions: 539 tCO2eq
+  training_time: ''
+  training_hardware: NVIDIA A100-80GB GPUs (TDP of 350-400W)
+  quality_control: ''
+  access: open
+  license:
+    value: custom
+    explanation: The license can be found at https://ai.meta.com/resources/models-and-libraries/llama-downloads/
+  intended_uses: LLaMA 2 is intended for commercial and research use in English.
+    Tuned models are intended for assistant-like chat, whereas pretrained models
+    can be adapted for a variety of natural language generation tasks.
+  prohibited_uses: Use in any manner that violates applicable laws or regulations
+    (including trade compliance laws). Use in languages other than English. Use
+    in any other way that is prohibited by the Acceptable Use Policy and Licensing
+    Agreement for LLaMA 2.
+  monitoring: ''
+  feedback: ''
+
 - type: model
   name: OPT-IML
   organization: Meta
@@ -608,3 +638,54 @@
   monitoring: ''
   feedback: Feedback can be given via the feedback form on their website [segment-anything.com](https://segment-anything.com/)
     or by emailing at segment-anything at meta.com.
+
+- type: model
+  name: Voicebox
+  organization: Meta
+  description: Voicebox is the first generative AI model for speech to generalize
+    across tasks with state-of-the-art performance.
+  created_date: 2023-06-16
+  url: https://research.facebook.com/publications/voicebox-text-guided-multilingual-universal-speech-generation-at-scale/
+  model_card: ''
+  modality: text and audio input and audio output
+  analysis: Evaluated on zero-shot text-to-speech benchmarks, with Voicebox outperforming
+    the current state-of-the-art English model VALL-E.
+  size: 330M parameters
+  dependencies: []
+  training_emissions: unknown
+  training_time: 750,000 iterations
+  training_hardware: 32 GPUs of unspecified type
+  quality_control: ''
+  access: closed
+  license: ''
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+
+- type: model
+  name: PEER
+  organization: Meta
+  description: PEER is a collaborative language model that is trained to imitate
+    the entire writing process itself. PEER can write drafts, add suggestions, propose
+    edits and provide explanations for its actions.
+  created_date: 2022-08-24
+  url: https://arxiv.org/pdf/2208.11663.pdf
+  model_card: ''
+  modality: natural language text
+  analysis: PEER is evaluated on core research questions intended to gauge language
+    understanding, proper use of citations, instruction following, and iterative
+    use.
+  size: 3B parameters
+  dependencies: []
+  training_emissions: ''
+  training_time: ''
+  training_hardware: 64 GPUs
+  quality_control: Heuristics and edit filtering was used on data set, which consisted
+    mostly of Wikipedia pages.
+  access: open
+  license: ''
+  intended_uses: adapting LLMs to work with collaborative writing and updating.
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
diff --git a/assets/microsoft.yaml b/assets/microsoft.yaml
index 298c806e..8d324607 100644
--- a/assets/microsoft.yaml
+++ b/assets/microsoft.yaml
@@ -779,3 +779,100 @@
   monthly_active_users: unknown
   user_distribution: unknown
   failures: unknown
+
+- type: model
+  name: UniLM
+  organization: Microsoft
+  description: UniLM is a unified language model that can be fine-tuned for both
+    natural language understanding and generation tasks.
+  created_date: 2019-10-01
+  url: https://proceedings.neurips.cc/paper_files/paper/2019/file/c20bb2d9a50d5ac1f713f8b34d9aac5a-Paper.pdf
+  model_card: ''
+  modality: text
+  analysis: Evaluated on GLUE, SQuAD 2.0, and CoQA benchmarks.
+  size: 340M parameters
+  dependencies: []
+  training_emissions: unknown
+  training_time: 10,000 steps in 7 hours
+  training_hardware: 8 NVIDIA Tesla V100 32GB GPUs
+  quality_control: ''
+  access: open
+  license: MIT
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+
+- type: model
+  name: Docugami
+  organization: Microsoft
+  description: Docugami is a LLM focused on writing business documents and data
+    using generative AI.
+  created_date: 2021-04-12
+  url: https://www.docugami.com/generative-ai
+  model_card: ''
+  modality: text
+  analysis: ''
+  size: 20B parameters
+  dependencies: []
+  training_emissions: unknown
+  training_time: unknown
+  training_hardware: ''
+  quality_control: ''
+  access: limited
+  license: ''
+  intended_uses: analyzing, writing, and connecting business documents and data
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+
+- type: model
+  name: BEiT-3
+  organization: Microsoft
+  description: BEiT-3 is a general-purpose multimodal foundation model for vision
+    and vision-language tasks.
+  created_date: 2022-08-31
+  url: https://arxiv.org/pdf/2208.10442.pdf
+  model_card: ''
+  modality: text and image input and output
+  analysis: Evaluated on a range of standardized vision benchmarks, and achieves
+    state of the art performance on all experimentally.
+  size: 1.9B parameters
+  dependencies: [Multiway Transformer network]
+  training_emissions: unknown
+  training_time: ''
+  training_hardware: ''
+  quality_control: ''
+  access: open
+  license: ''
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+
+- type: model
+  name: WizardLM
+  organization: Microsoft
+  description: Starting with an initial set of instructions, we use our proposed
+    Evol-Instruct to rewrite them step by step into more complex instructions. Then,
+    we mix all generated instruction data to fine-tune LLaMA. We call the resulting
+    model WizardLM.
+  created_date: 2023-04-24
+  url: https://arxiv.org/pdf/2304.12244v1.pdf
+  model_card: https://huggingface.co/WizardLM/WizardLM-13B-1.0
+  modality: natural language text
+  analysis: Reports results on standard LLM benchmarks in comparison to other LLMs
+    and test sets.
+  size: 7B parameters
+  dependencies: [LLaMA, Evol-Instruct, Alpaca dataset]
+  training_emissions: ''
+  training_time: 70 hours on 3 epochs
+  training_hardware: 8 V100 GPUs
+  quality_control: ''
+  access: open
+  license: Apache 2.0
+  intended_uses: Creating large amounts of instruction data, particularly with high
+    complexity
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: https://huggingface.co/datasets/WizardLM/evol_instruct_70k/discussions
diff --git a/assets/mosaic.yaml b/assets/mosaic.yaml
new file mode 100644
index 00000000..a887f3b4
--- /dev/null
+++ b/assets/mosaic.yaml
@@ -0,0 +1,24 @@
+---
+
+- type: model
+  name: MPT
+  organization: Mosaic
+  description: MPT is a series of large language models seeking to address the limitations
+    of other open source models like LLaMA and Pythia.
+  created_date: 2023-05-05
+  url: https://www.mosaicml.com/blog/mpt-7b
+  model_card: ''
+  modality: text
+  analysis: Evaluated on a range of benchmarks and performed on par with LLaMA-7B.
+  size: 7B parameters
+  dependencies: [RedPajama-Data, C4, The Stack, Multimodal C4]
+  training_emissions: unknown
+  training_time: 9.5 days
+  training_hardware: 440 A100 40GB GPUs
+  quality_control: ''
+  access: open
+  license: Apache 2.0
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
diff --git a/assets/nanyang.yaml b/assets/nanyang.yaml
new file mode 100644
index 00000000..02f40c24
--- /dev/null
+++ b/assets/nanyang.yaml
@@ -0,0 +1,27 @@
+---
+
+- type: model
+  name: Otter
+  organization: Nanyang Technological University
+  description: Otter is a multi-modal model based on OpenFlamingo (open-sourced
+    version of DeepMind’s Flamingo), trained on MIMIC-IT and showcasing improved
+    instruction-following ability and in-context learning.
+  created_date: 2023-05-05
+  url: https://arxiv.org/pdf/2305.03726v1.pdf
+  model_card: https://github.com/Luodian/Otter/blob/main/docs/model_card.md
+  modality: outputs text from text and image input
+  analysis: Evaluated on researcher experiments to test deeper understanding and
+    advanced commonsense reasoning
+  size: 1.3B parameters
+  dependencies: [MIMIC-IT, OpenFlamingo]
+  training_emissions: ''
+  training_time: ''
+  training_hardware: 4 RTX-3090 GPUs
+  quality_control: ''
+  access: open
+  license: MIT
+  intended_uses: Following and executing new instructions with few in-context learning
+    examples given image and textual input.
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
diff --git a/assets/nextdoor.yaml b/assets/nextdoor.yaml
new file mode 100644
index 00000000..0dfafe79
--- /dev/null
+++ b/assets/nextdoor.yaml
@@ -0,0 +1,24 @@
+---
+
+- type: application
+  name: Nextdoor Assistant
+  organization: Nextdoor
+  description: AI chatbot on Nextdoor that helps users write more clear and conscientious
+    posts.
+  created_date: 2023-05-02
+  url: https://help.nextdoor.com/s/article/Introducing-Assistant
+  dependencies: [ChatGPT]
+  adaptation: ''
+  output_space: natural language text guidance
+  quality_control: ''
+  access: open
+  license: unknown
+  terms_of_service: ''
+  intended_uses: to be used to help make the Nextdoor experience more positive for
+    users
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+  monthly_active_users: ''
+  user_distribution: ''
+  failures: ''
diff --git a/assets/nolano.yaml b/assets/nolano.yaml
new file mode 100644
index 00000000..f2b8fe84
--- /dev/null
+++ b/assets/nolano.yaml
@@ -0,0 +1,23 @@
+---
+
+- type: application
+  name: Cformers
+  organization: Nolano
+  description: Cformers is a set of transformers that act as an API for AI inference
+    in code.
+  created_date: 2023-03-19
+  url: https://www.nolano.org/services/Cformers/
+  dependencies: []
+  adaptation: ''
+  output_space: ''
+  quality_control: ''
+  access: limited
+  license: MIT
+  terms_of_service: ''
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+  monthly_active_users: ''
+  user_distribution: ''
+  failures: ''
diff --git a/assets/paladin.yaml b/assets/paladin.yaml
new file mode 100644
index 00000000..76870f97
--- /dev/null
+++ b/assets/paladin.yaml
@@ -0,0 +1,22 @@
+---
+
+- type: application
+  name: UnderwriteGPT
+  organization: Paladin Group and Dais Technology
+  description: UnderwriteGPT is the world's first generative AI underwriting tool.
+  created_date: 2023-02-01
+  url: https://dais.com/underwritegpt/
+  dependencies: []
+  adaptation: ''
+  output_space: ''
+  quality_control: ''
+  access: limited
+  license: ''
+  terms_of_service: ''
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+  monthly_active_users: ''
+  user_distribution: ''
+  failures: ''
diff --git a/assets/portkey.yaml b/assets/portkey.yaml
new file mode 100644
index 00000000..2fca2885
--- /dev/null
+++ b/assets/portkey.yaml
@@ -0,0 +1,23 @@
+---
+
+- type: application
+  name: Portkey
+  organization: Portkey
+  description: Portkey is a hosted middleware that allows users to create generative
+    AI applications
+  created_date: 2023-05-06
+  url: https://portkey.ai/
+  dependencies: []
+  adaptation: ''
+  output_space: generative AI apps
+  quality_control: ''
+  access: open
+  license: ''
+  terms_of_service: https://portkey.ai/terms
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+  monthly_active_users: ''
+  user_distribution: ''
+  failures: ''
diff --git a/assets/shanghai.yaml b/assets/shanghai.yaml
index b4a206a7..8dae5081 100644
--- a/assets/shanghai.yaml
+++ b/assets/shanghai.yaml
@@ -28,3 +28,26 @@
   prohibited_uses: ''
   monitoring: ''
   feedback: ''
+
+- type: model
+  name: Lego-MT
+  organization: Shanghai AI Laboratory
+  description: Lego-MT is a multilingual large language model which uses a more
+    efficient approach of being an effective detachable model.
+  created_date: 2023-05-29
+  url: https://arxiv.org/pdf/2212.10551.pdf
+  model_card: ''
+  modality: multilingual text
+  analysis: Evaluated based on own constructed dataset covering 433 languages.
+  size: 1.2B parameters
+  dependencies: [OPUS]
+  training_emissions: unknown
+  training_time: 15 days
+  training_hardware: 32 A100 GPUs
+  quality_control: ''
+  access: open
+  license: ''
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
diff --git a/assets/singapore.yaml b/assets/singapore.yaml
new file mode 100644
index 00000000..5e0ab85c
--- /dev/null
+++ b/assets/singapore.yaml
@@ -0,0 +1,27 @@
+---
+
+- type: model
+  name: GOAT
+  organization: National University of Singapore
+  description: GOAT is a fine-tuned LLaMA model which uses the tokenization of numbers
+    to significantly outperform benchmark standards on a range of arithmetic tasks.
+  created_date: 2023-05-23
+  url: https://arxiv.org/pdf/2305.14201.pdf
+  model_card: none
+  modality: textual input, numerical data output
+  analysis: Performance assessed on BIG-bench arithmetic sub-task, and various elementary
+    arithmetic tasks.
+  size: 7B parameters
+  dependencies: [LLaMA, GOAT dataset]
+  training_emissions: unknown
+  training_time: unknown
+  training_hardware: 24 GB VRAM GPU
+  quality_control: Number data is randomly generated from log space to reduce likelihood
+    of redundancy and range of magnitudes.
+  access: open
+  license: Apache 2.0
+  intended_uses: Integration into other instruction-tuned LLMs to further enhance
+    arithmetic reasoning abilities in solving math word problems.
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
diff --git a/assets/stability.yaml b/assets/stability.yaml
index fc209b52..8c572529 100644
--- a/assets/stability.yaml
+++ b/assets/stability.yaml
@@ -1,31 +1,102 @@
 ---
 
 - type: model
-  name: Stable Diffusion
+  name: DeepFloyd IF
   organization: Stability AI
-  description: Stable Diffusion is an open source text-to-image model
-  created_date:
-    value: 2022-08-22
-    explanation: Date the model was made publicly available
-  url: https://github.com/CompVis/stable-diffusion
-  model_card: https://huggingface.co/CompVis/stable-diffusion-v1-4?text=A+mecha+robot+in+a+favela+in+expressionist+style
-  modality: text and image
-  size: 890M parameters
-  analysis: ''
+  description: A text-to-image cascaded pixel diffusion model released in conjunction
+    with AI research lab DeepFloyd.
+  created_date: 2023-04-28
+  url: https://stability.ai/blog/deepfloyd-if-text-to-image-model
+  model_card: https://huggingface.co/DeepFloyd/IF-I-XL-v1.0
+  modality: textual input with image output
+  analysis: Evaluated on the COCO dataset.
+  size: 4.3B parameters
   dependencies: [LAION-5B]
   training_emissions: ''
-  training_time: 25 days according to Emad Mostaque (CEO of Stability) on [[Twitter]](https://twitter.com/emostaque/status/1563870674111832066)
-  training_hardware: 256 A100 GPUs according to Emad Mostaque (CEO of Stability)
-    on [[Twitter]](https://twitter.com/emostaque/status/1563870674111832066)
+  training_time: ''
+  training_hardware: ''
+  quality_control: ''
+  access: open
+  license:
+    value: custom
+    explanation: License agreement can be found on model card https://huggingface.co/DeepFloyd/IF-I-XL-v1.0
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: https://huggingface.co/DeepFloyd/IF-I-XL-v1.0/discussions
+
+
+- type: model
+  name: StableLM
+  organization: Stability AI
+  description: Large language models trained on up to 1.5 trillion tokens.
+  created_date: 2023-04-20
+  url: https://github.com/Stability-AI/StableLM
+  model_card: ''
+  modality: natural language text
+  analysis: ''
+  size: 7B parameters
+  dependencies:
+    - StableLM-Alpha dataset
+    - Alpaca dataset
+    - gpt4all dataset
+    - ShareGPT52K dataset
+    - Dolly dataset
+    - HH dataset
+  training_emissions: ''
+  training_time: ''
+  training_hardware: ''
+  quality_control: ''
+  access: open
+  license: Apache 2.0
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+
+
+- type: application
+  name: Stable Diffusion
+  organization: Stability AI
+  description: Stable Diffusion is a generative software that creates images from
+    text prompts.
+  created_date: 2022-08-22
+  url: https://stability.ai/blog/stable-diffusion-public-release
+  dependencies: []
+  adaptation: ''
+  output_space: image
   quality_control: ''
-  access:
-    value: open
-    explanation: Model weights are available for download from the [[Github repo]](https://github.com/CompVis/stable-diffusion)
+  access: open
   license:
-    value: CreativeML Open RAIL-M
-    explanation: >
-      [[CreativeML Open RAIL-M]](https://github.com/CompVis/stable-diffusion/blob/main/LICENSE)
+    value: custom
+    explanation: License agreement can be found on https://github.com/CompVis/stable-diffusion/blob/main/LICENSE
+  terms_of_service: ''
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: https://huggingface.co/CompVis/stable-diffusion/discussions
+  monthly_active_users: ''
+  user_distribution: ''
+  failures: ''
+
+- type: application
+  name: Stable Diffusion XL
+  organization: Stability AI
+  description: Stable Diffusion XL is an updated version of Stable Diffusion, and
+    creates descriptive images with shorter prompts and generate words within images.
+  created_date: 2023-07-26
+  url: https://stability.ai/stablediffusion
+  dependencies: []
+  adaptation: ''
+  output_space: image
+  quality_control: ''
+  access: limited
+  license: MIT
+  terms_of_service: ''
   intended_uses: ''
   prohibited_uses: ''
   monitoring: ''
   feedback: ''
+  monthly_active_users: ''
+  user_distribution: ''
+  failures: ''
diff --git a/assets/stanford.yaml b/assets/stanford.yaml
index 88454882..f54d0d1e 100644
--- a/assets/stanford.yaml
+++ b/assets/stanford.yaml
@@ -21,3 +21,54 @@
   prohibited_uses: ''
   monitoring: ''
   feedback: ''
+
+- type: model
+  name: RoentGen
+  organization: Stanford
+  description: RoentGen is a generative medical imaging model that can create visually
+    convincing X-ray images.
+  created_date: 2022-11-23
+  url: https://arxiv.org/pdf/2211.12737.pdf
+  model_card: ''
+  modality: text input and image output
+  analysis: Evaluated on own framework that tests domain-specific tasks in medical
+    field.
+  size: 330M parameters
+  dependencies: [Stable Diffusion, RoentGen radiology dataset]
+  training_emissions: unknown
+  training_time: 60k training steps per day
+  training_hardware: 64 A100 GPUs
+  quality_control: ''
+  access: open
+  license: ''
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+
+- type: model
+  name: CORGI
+  organization: Stanford
+  description: Model trained to generate language corrections for physical control
+    tasks.
+  created_date: 2023-06-12
+  url: https://arxiv.org/pdf/2306.07012.pdf
+  model_card: ''
+  modality: trajectory input with text output
+  analysis: Evaluated on three physical control tasks, drawing, steering, and human
+    body movement on various dynamics
+  size: 124M parameters
+  dependencies: [GPT-2, BABEL, text-davinci-003]
+  training_emissions: ''
+  training_time:
+    value: unknown
+    explanation: The authors do not report the training time, but do report that
+      they train for 200 epochs.
+  training_hardware: one NVIDIA A40 GPU
+  quality_control: ''
+  access: open
+  license: MIT
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
diff --git a/assets/suno.yaml b/assets/suno.yaml
new file mode 100644
index 00000000..6e277fb6
--- /dev/null
+++ b/assets/suno.yaml
@@ -0,0 +1,24 @@
+---
+
+- type: model
+  name: Bark
+  organization: Suno
+  description: Bark is a text-to-audio model that can generate multilingual speech
+    as well as other noises.
+  created_date: 2023-04-20
+  url: https://github.com/suno-ai/bark
+  model_card: https://github.com/suno-ai/bark/blob/main/model-card.md
+  modality: text input with audio output
+  analysis: ''
+  size: ''
+  dependencies: [AudioLM]
+  training_emissions: unknown
+  training_time: unknown
+  training_hardware: ''
+  quality_control: ''
+  access: open
+  license: MIT
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: https://huggingface.co/spaces/suno/bark/discussions
diff --git a/assets/together.yaml b/assets/together.yaml
index 191dd5fc..2bb3cb97 100644
--- a/assets/together.yaml
+++ b/assets/together.yaml
@@ -109,3 +109,26 @@
   prohibited_uses: ''
   monitoring: ''
   feedback: ''
+
+- type: dataset
+  name: RedPajama-Data
+  organization: Together
+  description: The RedPajama base dataset is a 1.2 trillion token fully-open dataset
+    created by following the recipe described in the LLaMA paper
+  created_date: 2022-04-17
+  url: https://www.together.xyz/blog/redpajama
+  datasheet: https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T
+  modality: text
+  size: 1.2 trillion tokens
+  sample: []
+  analysis: ''
+  dependencies: [GitHub, Wikipedia]
+  included: ''
+  excluded: ''
+  quality_control: ''
+  access: open
+  license: Apache 2.0
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
diff --git a/assets/transformify.yaml b/assets/transformify.yaml
new file mode 100644
index 00000000..118b559f
--- /dev/null
+++ b/assets/transformify.yaml
@@ -0,0 +1,23 @@
+---
+
+- type: application
+  name: Transformify Automate
+  organization: Transformify
+  description: Transformify Automate is a platform for automated task integration
+    using natural language prompts.
+  created_date: 2023-05-30
+  url: https://www.transformify.ai/automate
+  dependencies: [GPT-4]
+  adaptation: ''
+  output_space: text and code
+  quality_control: ''
+  access: open
+  license: ''
+  terms_of_service: https://www.transformify.ai/legal-stuff
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
+  monthly_active_users: ''
+  user_distribution: ''
+  failures: ''
diff --git a/assets/uae.yaml b/assets/uae.yaml
new file mode 100644
index 00000000..127d82d0
--- /dev/null
+++ b/assets/uae.yaml
@@ -0,0 +1,50 @@
+---
+
+- type: model
+  name: Falcon
+  organization: UAE Technology Innovation Institute
+  description: Falcon-40B is a 40B parameters causal decoder-only model built by
+    TII and trained on 1,000B tokens of RefinedWeb enhanced with curated corpora.
+  created_date: 2023-06-14
+  url: https://huggingface.co/tiiuae/falcon-40b
+  model_card: https://huggingface.co/tiiuae/falcon-40b
+  modality: natural language text
+  analysis: ''
+  size: 40B parameters
+  dependencies: [RefinedWeb]
+  training_emissions: ''
+  training_time: 2 months
+  training_hardware: 384 A100 40GB GPUs
+  quality_control: ''
+  access: open
+  license: Apache 2.0
+  intended_uses: ''
+  prohibited_uses: irresponsible or harmful use or production use without adequate
+    assessment of risks and mitigation
+  monitoring: None
+  feedback: https://huggingface.co/tiiuae/falcon-40b/discussions
+
+- type: dataset
+  name: RefinedWeb
+  organization: UAE Technology Innovation Institute
+  description: RefinedWeb is a high-quality five trillion tokens web-only English
+    pretraining dataset.
+  created_date: 2023-06-01
+  url: https://arxiv.org/pdf/2306.01116.pdf
+  datasheet: https://huggingface.co/datasets/tiiuae/falcon-refinedweb
+  modality: text
+  size: 600B tokens
+  sample: []
+  analysis: ''
+  dependencies: []
+  included: ''
+  excluded: ''
+  quality_control: ''
+  access: open
+  license:
+    value: unknown
+    explanation: License can be found at https://huggingface.co/datasets/tiiuae/falcon-refinedweb
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
diff --git a/assets/uwashington.yaml b/assets/uwashington.yaml
new file mode 100644
index 00000000..32208f00
--- /dev/null
+++ b/assets/uwashington.yaml
@@ -0,0 +1,26 @@
+---
+
+- type: model
+  name: Guanaco
+  organization: University of Washington
+  description: Guanaco is a model family trained with QLORA, an efficient finetuning
+    approach that reduces memory usage enough to finetune a 65B parameter model
+    on a single 48GB GPU while preserving full 16-bit finetuning task performance.
+  created_date: 2023-05-23
+  url: https://arxiv.org/pdf/2305.14314v1.pdf
+  model_card: ''
+  modality: natural language text
+  analysis: Reports results on the Vicuna benchmark and compares performance level
+    and time expenditure with ChatGPT
+  size: 33B parameters
+  dependencies: [QLoRA, OASST1]
+  training_emissions: ''
+  training_time: ''
+  training_hardware: A single 24 GB GPU
+  quality_control: ''
+  access: open
+  license: MIT
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
diff --git a/assets/writer.yaml b/assets/writer.yaml
new file mode 100644
index 00000000..a56591b9
--- /dev/null
+++ b/assets/writer.yaml
@@ -0,0 +1,53 @@
+---
+
+- type: model
+  name: Palmyra
+  organization: Writer
+  description: Palmyra is a privacy-first LLM for enterprises trained on business
+    and marketing writing.
+  created_date:
+    value: 2023-01-01
+    explanation: The model was stated to be published in January, but which day
+      is not specified on the website.
+  url: https://gpt3demo.com/apps/palmyra
+  model_card: https://huggingface.co/Writer/palmyra-base
+  modality: text
+  analysis: Evaluated on the SuperGLUE benchmark
+  size: 128M (Small), 5B (Base), 20B (Large) parameters
+  dependencies: [Writer dataset]
+  training_emissions: unknown
+  training_time: unknown
+  training_hardware: ''
+  quality_control: ''
+  access: open
+  license: Apache 2.0
+  intended_uses: generating text from a prompt
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: https://huggingface.co/Writer/palmyra-base/discussions
+
+- type: model
+  name: Camel
+  organization: Writer
+  description: Camel is an instruction-following large language model tailored for
+    advanced NLP and comprehension capabilities.
+  created_date:
+    value: 2023-04-01
+    explanation: The model was stated to be published in April, but which day is
+      not specified on the website.
+  url: https://chatcamel.vercel.app/
+  model_card: https://huggingface.co/Writer/camel-5b-hf
+  modality: text
+  analysis: ''
+  size: 5B parameters
+  dependencies: [Palmyra, Camel dataset]
+  training_emissions: unknown
+  training_time: unknown
+  training_hardware: ''
+  quality_control: ''
+  access: open
+  license: Apache 2.0
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: https://huggingface.co/Writer/camel-5b-hf/discussions
diff --git a/js/main.js b/js/main.js
index c62ac282..5434dd3c 100644
--- a/js/main.js
+++ b/js/main.js
@@ -629,6 +629,30 @@ function loadAssetsAndRenderPageContent() {
 
   const paths = [
     'assets/adept.yaml',
+    'assets/writer.yaml',
+    'assets/berkeley.yaml',
+    'assets/faraday.yaml',
+    'assets/autogpt.yaml',
+    'assets/suno.yaml',
+    'assets/amazon.yaml',
+    'assets/casia.yaml',
+    'assets/lehigh.yaml',
+    'assets/nolano.yaml',
+    'assets/chatglm.yaml',
+    'assets/uae.yaml',
+    'assets/singapore.yaml',
+    'assets/uwashington.yaml',
+    'assets/h2oai.yaml',
+    'assets/inflection.yaml',
+    'assets/mosaic.yaml',
+    'assets/nextdoor.yaml',
+    'assets/columbia.yaml',
+    'assets/nanyang.yaml',
+    'assets/portkey.yaml',
+    'assets/bigcode.yaml',
+    'assets/transformify.yaml',
+    'assets/paladin.yaml',
+    'assets/lmsys.yaml',
     'assets/ai2.yaml',
     'assets/ai21.yaml',
     'assets/aleph_alpha.yaml',