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--- | ||
- type: model | ||
name: Yi | ||
organization: 01.AI | ||
description: Yi is a LLM that can accept input/outputs in both English and Chinese. | ||
created_date: 2023-11-02 | ||
url: https://github.com/01-ai/Yi | ||
model_card: https://huggingface.co/01-ai/Yi-34B | ||
modality: text; text | ||
analysis: Evaluated on common sense reasoning and reading comprehension, analogous to LLaMA 2's analysis. | ||
size: 34B parameters (dense) | ||
dependencies: [] | ||
training_emissions: unknown | ||
training_time: unknown | ||
training_hardware: unknown | ||
quality_control: '' | ||
access: open | ||
license: Apache 2.0 | ||
intended_uses: Academic research and free commercial usage | ||
prohibited_uses: '' | ||
monitoring: none | ||
feedback: https://huggingface.co/01-ai/Yi-34B/discussions |
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--- | ||
- type: model | ||
name: Firefly Image 2 | ||
organization: Adobe | ||
description: Firefly Image 2 is the next generation of generative AI for imaging, bringing significant advancements to creative control and quality, including new Text to Image capabilities now available in the popular Firefly web app where 90% of users are new to Adobe products. | ||
created_date: 2023-10-10 | ||
url: https://firefly.adobe.com/ | ||
model_card: none | ||
modality: text; image | ||
analysis: '' | ||
size: unknown | ||
dependencies: [] | ||
training_emissions: unknown | ||
training_time: unknown | ||
training_hardware: unknown | ||
quality_control: '' | ||
access: closed | ||
license: unknown | ||
intended_uses: creative generation of digital art and images | ||
prohibited_uses: AI/ML training, attempting to create abusive, illegal, or confidential content. | ||
monitoring: '' | ||
feedback: '' | ||
|
||
- type: model | ||
name: Firefly Vector | ||
organization: Adobe | ||
description: Firefly Vector is the world’s first generative AI focused on producing vector graphics, bringing Adobe's vector graphic and generative AI expertise directly into Adobe Illustrator workflows with Text to Vector Graphic. | ||
created_date: 2023-10-10 | ||
url: https://firefly.adobe.com/ | ||
model_card: none | ||
modality: text; vector graphic | ||
analysis: '' | ||
size: unknown | ||
dependencies: [] | ||
training_emissions: unknown | ||
training_time: unknown | ||
training_hardware: unknown | ||
quality_control: '' | ||
access: closed | ||
license: unknown | ||
intended_uses: creative generation of digital art and images | ||
prohibited_uses: AI/ML training, attempting to create abusive, illegal, or confidential content. | ||
monitoring: '' | ||
feedback: '' | ||
|
||
- type: model | ||
name: Firefly Design | ||
organization: Adobe | ||
description: Firefly Design powers instant generation of amazing quality template designs in Adobe Express with the new Text to Template capability. | ||
created_date: 2023-10-10 | ||
url: https://firefly.adobe.com/ | ||
model_card: none | ||
modality: text; template design | ||
analysis: '' | ||
size: unknown | ||
dependencies: [] | ||
training_emissions: unknown | ||
training_time: unknown | ||
training_hardware: unknown | ||
quality_control: '' | ||
access: closed | ||
license: unknown | ||
intended_uses: creative generation of digital art and images | ||
prohibited_uses: AI/ML training, attempting to create abusive, illegal, or confidential content. | ||
monitoring: '' | ||
feedback: '' | ||
|
||
- type: application | ||
name: Firefly | ||
organization: Adobe | ||
description: Adobe Firefly is a standalone web application. It offers new ways to ideate, create, and communicate while significantly improving creative workflows using generative AI. | ||
created_date: 2023-03-21 | ||
url: https://firefly.adobe.com/ | ||
dependencies: [Firefly Image 2, Firefly Vector, Firefly Design] | ||
adaptation: '' | ||
output_space: AI-generated creations | ||
quality_control: '' | ||
access: limited | ||
license: unknown | ||
terms_of_service: https://www.adobe.com/legal/licenses-terms/adobe-gen-ai-user-guidelines.html | ||
intended_uses: creative generation of digital art and images | ||
prohibited_uses: AI/ML training, attempting to create abusive, illegal, or confidential content. | ||
monitoring: '' | ||
feedback: '' | ||
monthly_active_users: unknown | ||
user_distribution: unknown | ||
failures: unknown | ||
|
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--- | ||
- type: model | ||
name: Baichuan 2 | ||
organization: Baichuan Inc. | ||
description: Baichuan 2 is a series of large-scale multilingual language models containing 7 billion and 13 billion parameters, trained from scratch, on 2.6 trillion tokens. | ||
created_date: 2023-09-20 | ||
url: https://arxiv.org/pdf/2309.10305.pdf | ||
model_card: none | ||
modality: text; text | ||
analysis: Evaluated on public benchmarks like MMLU, CMMLU, GSM8K, and HumanEval. | ||
size: 13B parameters (dense) | ||
dependencies: [] | ||
training_emissions: unknown | ||
training_time: unknown | ||
training_hardware: 1024 NVIDIA A800 GPUs | ||
quality_control: '' | ||
access: open | ||
license: unknown | ||
intended_uses: '' | ||
prohibited_uses: '' | ||
monitoring: none | ||
feedback: https://huggingface.co/Xwin-LM/Xwin-LM-70B-V0.1/discussions |
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--- | ||
- type: dataset | ||
name: EXMODD | ||
organization: Beijing Institute of Technology | ||
description: EXMODD (Explanatory Multimodal Open-Domain Dialogue dataset) is a dataset built off the proposed MDCF (Multimodal Data Construction Framework). | ||
created_date: 2023-10-17 | ||
url: https://arxiv.org/pdf/2310.10967.pdf | ||
datasheet: none | ||
modality: image, text | ||
size: unknown | ||
sample: [] | ||
analysis: Models fine-tuned on EXMODD and earlier dataset Image-Chat and then evaluated on Image-Chat validation set. | ||
dependencies: [YFCC100M, Image-Chat] | ||
included: '' | ||
excluded: '' | ||
quality_control: '' | ||
access: open | ||
license: MIT | ||
intended_uses: '' | ||
prohibited_uses: '' | ||
monitoring: none | ||
feedback: Feedback can be sent to authors via [email protected] |
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--- | ||
- type: model | ||
name: SALMONN | ||
organization: ByteDance, Tsinghua University | ||
description: SALMONN is a large language model (LLM) enabling speech, audio event, and music inputs. | ||
created_date: 2023-10-20 | ||
url: https://github.com/bytedance/SALMONN | ||
model_card: https://huggingface.co/MSIIP/SALMONN | ||
modality: audio, text; text | ||
analysis: Evaluated on benchmarks pertaining to speech, music, and other audio recognition. | ||
size: unknown | ||
dependencies: [Whisper, BEATs, Vicuna] | ||
training_emissions: unknown | ||
training_time: unknown | ||
training_hardware: unknown | ||
quality_control: '' | ||
access: open | ||
license: Apache 2.0 | ||
intended_uses: '' | ||
prohibited_uses: '' | ||
monitoring: none | ||
feedback: https://huggingface.co/MSIIP/SALMONN/discussions |
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