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models(gallery): ⬆️ update checksum (mudler#2678)
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⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <[email protected]>
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localai-bot and mudler authored Jun 29, 2024
1 parent 1d30955 commit f7b5a4c
Showing 1 changed file with 4 additions and 4 deletions.
8 changes: 4 additions & 4 deletions gallery/index.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -318,28 +318,28 @@
- https://huggingface.co/google/gemma-2-27b-it
- https://huggingface.co/bartowski/gemma-2-27b-it-GGUF
description: |
Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. They are text-to-text, decoder-only large language models, available in English, with open weights for both pre-trained variants and instruction-tuned variants. Gemma models are well-suited for a variety of text generation tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as a laptop, desktop or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone.
Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. They are text-to-text, decoder-only large language models, available in English, with open weights for both pre-trained variants and instruction-tuned variants. Gemma models are well-suited for a variety of text generation tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as a laptop, desktop or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone.
overrides:
parameters:
model: gemma-2-27b-it-Q4_K_M.gguf
files:
- filename: gemma-2-27b-it-Q4_K_M.gguf
sha256: e54e7b800d464af4fa9966020e4a1b1d386cd9346de2d851a7bfe7d0797c44c4
uri: huggingface://bartowski/gemma-2-27b-it-GGUF/gemma-2-27b-it-Q4_K_M.gguf
sha256: be6739763f1b7661d32bd63e05bc1131e5bb9dac436b249faf6c6edffa601c96
- !!merge <<: *gemma
name: "gemma-2-9b-it"
urls:
- https://huggingface.co/google/gemma-2-9b-it
- https://huggingface.co/bartowski/gemma-2-9b-it-GGUF
description: |
Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. They are text-to-text, decoder-only large language models, available in English, with open weights for both pre-trained variants and instruction-tuned variants. Gemma models are well-suited for a variety of text generation tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as a laptop, desktop or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone.
Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. They are text-to-text, decoder-only large language models, available in English, with open weights for both pre-trained variants and instruction-tuned variants. Gemma models are well-suited for a variety of text generation tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as a laptop, desktop or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone.
overrides:
parameters:
model: gemma-2-9b-it-Q4_K_M.gguf
files:
- filename: gemma-2-9b-it-Q4_K_M.gguf
sha256: 0874bf61be2e4b3d0a4a75e58fbd442dc410745d513c1e1e5de0b54ae33e65db
uri: huggingface://bartowski/gemma-2-9b-it-GGUF/gemma-2-9b-it-Q4_K_M.gguf
sha256: 5375972196fae34c1a767bbeba93938d86abb39f2f91ea5453efa36ead6569f1
- &llama3
url: "github:mudler/LocalAI/gallery/llama3-instruct.yaml@master"
icon: https://cdn-uploads.huggingface.co/production/uploads/642cc1c253e76b4c2286c58e/aJJxKus1wP5N-euvHEUq7.png
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