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This repository was archived by the owner on Jan 9, 2025. It is now read-only.

Releases: instill-ai/deprecated-model

v0.10.0-alpha

01 Mar 11:16
2725f38

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0.10.0-alpha (2024-03-01)

Miscellaneous Chores

  • release: release v0.10.0-alpha (fc41ad3)

v0.9.0-alpha

16 Feb 06:34
29ea96f

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0.9.0-alpha (2024-02-16)

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  • release: release v0.9.0-alpha (b63f5b7)

v0.8.0-alpha

30 Jan 16:32
ba1c4f6

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0.8.0-alpha (2024-01-30)

Features

  • model: convert predefined LLM models to ray format

v0.7.0-alpha

17 Jan 04:22
5d73b95

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0.7.0-alpha (2024-01-17)

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  • release: release v0.7.0-alpha (0f82f52)

v0.6.1-alpha

02 Jan 14:31
7ba31d5

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v0.6.1-alpha Pre-release
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0.6.1-alpha (2024-01-02)

Bug Fixes

  • model: update llava model tag for initilization issue fix (#77) (3fc18c3)

Miscellaneous Chores

  • release: release v0.6.1-alpha (d2e6edc)

v0.6.0-alpha

15 Dec 18:10
8b7199f

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Introducing Zephyr-7b, Stable Diffusion XL, ControlNet Canny on Instill Model





No need to setup up expensive resources or to use third party services to host these models now. With the power of Instill Model, you can use Zephyr-7b, Stable Diffusion XL, ControlNet Canny in an integrated and seamless environment.

Zephyr-7b is created by Hugging Face and is a fine-tuned version of Mistral-7b. It's trained on public datasets but also optimized with knowledge distillation techniques. It's lightweight and fast, although 'intent alignment' may suffer. Read more about it and distillation techniques here.

Stable Diffusion XL allows you to create descriptive images with shorter prompts as well as generate words within images!

ControlNet Canny allows you to manipulate images and include specific features in new and advanced ways.

To get started with using these models, import them directly into the pipeline building console via the ‘Add Resource’ button.

Why do we serve these and many other open source models?

By listening to our users, we've realized that they want a ready-to-use platform to be able to use various models as well as build unstructured data pipelines around them. This is why we built Instill Model; users now don't have to worry about the infrastructure, API, server, networking, testing, maintenance, and security that comes with deploying models by themselves. Let us take care of everything, and users can focus on getting things done.

We're on the path to making Instill AI the backbone for all your AI needs! And we'll continue to add even more models.

v0.5.0-alpha

02 Dec 03:36
646884c

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v0.5.0-alpha Pre-release
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0.5.0-alpha (2023-12-02)

Features

  • helm: add kuberay and raycluster (#64) (08da3d6)

Miscellaneous Chores

  • release: release v0.5.0-alpha (cd6bfa5)

v0.4.0-alpha

13 Nov 03:44
10821f5

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v0.4.0-alpha Pre-release
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0.4.0-alpha (2023-11-13)

Features

  • ray: add ray as model serving service (#55) (dd093fc)

Miscellaneous Chores

  • release: release v0.4.0-alpha (ee9ee09)

v0.3.0-alpha

27 Oct 21:11
9de33a6

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v0.3.0-alpha Pre-release
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Introducing Llama 2-7b, MPT-7b, Mistral-7b on Instill Model





No need to setup up expensive resources or to use third party services to host these models now. With the power of Instill Model, you can use Llama 2-7b, MPT-7b, Mistral-7b in an integrated and seamless environment.

We're on the path to making Instill AI the backbone for all your AI needs! And we'll continue to add even more models.

To get started with using these models, import them directly into the pipeline building console via the ‘Add Resource’ button.

Community Contribution (Thank you!)

  • update triton.go with bound checks (PR)

v0.2.2-alpha

13 Oct 09:40
9dead57

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v0.2.2-alpha Pre-release
Pre-release

0.2.2-alpha (2023-10-13)

Miscellaneous Chores

  • release: release v0.2.2-alpha (1492b8a)