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chore(model gallery): add tesslate_tessa-t1-7b (#5091)

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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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Ettore Di Giacinto 2025-03-29 12:12:01 +01:00 committed by GitHub
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commit 699519d1fe
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gallery/index.yaml
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@ -5301,6 +5301,26 @@
- filename: Tesslate_Tessa-T1-14B-Q4_K_M.gguf
sha256: 1b35ff651b9c1e4538d10e3117390ae36094b6455a9f937a4f3ab72162125bca
uri: huggingface://bartowski/Tesslate_Tessa-T1-14B-GGUF/Tesslate_Tessa-T1-14B-Q4_K_M.gguf
- !!merge <<: *qwen25
name: "tesslate_tessa-t1-7b"
icon: https://cdn-uploads.huggingface.co/production/uploads/64d1129297ca59bcf7458d07/I7XzH-NMKUshcGU86u6VA.png
urls:
- https://huggingface.co/Tesslate/Tessa-T1-7B
- https://huggingface.co/bartowski/Tesslate_Tessa-T1-7B-GGUF
description: |
Tessa-T1 is an innovative transformer-based React reasoning model, fine-tuned from the powerful Qwen2.5-Coder-7B-Instruct base model. Designed specifically for React frontend development, Tessa-T1 leverages advanced reasoning to autonomously generate well-structured, semantic React components. Its integration into agent systems makes it a powerful tool for automating web interface development and frontend code intelligence.
Model Highlights
React-specific Reasoning: Accurately generates functional and semantic React components.
Agent Integration: Seamlessly fits into AI-driven coding agents and autonomous frontend systems.
Context-Aware Generation: Effectively understands and utilizes UI context to provide relevant code solutions.
overrides:
parameters:
model: Tesslate_Tessa-T1-7B-Q4_K_M.gguf
files:
- filename: Tesslate_Tessa-T1-7B-Q4_K_M.gguf
sha256: 7968332d01b5479dee99aff7c9764b9e61c2a6d2828c266163596dd783bdee18
uri: huggingface://bartowski/Tesslate_Tessa-T1-7B-GGUF/Tesslate_Tessa-T1-7B-Q4_K_M.gguf
- &llama31
url: "github:mudler/LocalAI/gallery/llama3.1-instruct.yaml@master" ## LLama3.1
icon: https://avatars.githubusercontent.com/u/153379578