chore(model gallery): add qwen2-vl-72b-instruct ()

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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Ettore Di Giacinto 2024-12-18 10:35:49 +01:00 committed by GitHub
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commit 4623728cd7
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@ -2097,6 +2097,28 @@
- filename: Neumind-Math-7B-Instruct.Q4_K_M.gguf
sha256: 3250abadeae4234e06dfaf7cf86fe871fe021e6c2dfcb4542c2a4f412d71e28c
uri: huggingface://QuantFactory/Neumind-Math-7B-Instruct-GGUF/Neumind-Math-7B-Instruct.Q4_K_M.gguf
- !!merge <<: *qwen25
name: "qwen2-vl-72b-instruct"
urls:
- https://huggingface.co/Qwen/Qwen2-VL-72B-Instruct
- https://huggingface.co/bartowski/Qwen2-VL-72B-Instruct-GGUF
description: |
We're excited to unveil Qwen2-VL, the latest iteration of our Qwen-VL model, representing nearly a year of innovation.
Key Enhancements:
SoTA understanding of images of various resolution & ratio: Qwen2-VL achieves state-of-the-art performance on visual understanding benchmarks, including MathVista, DocVQA, RealWorldQA, MTVQA, etc.
Understanding videos of 20min+: Qwen2-VL can understand videos over 20 minutes for high-quality video-based question answering, dialog, content creation, etc.
Agent that can operate your mobiles, robots, etc.: with the abilities of complex reasoning and decision making, Qwen2-VL can be integrated with devices like mobile phones, robots, etc., for automatic operation based on visual environment and text instructions.
Multilingual Support: to serve global users, besides English and Chinese, Qwen2-VL now supports the understanding of texts in different languages inside images, including most European languages, Japanese, Korean, Arabic, Vietnamese, etc.
overrides:
parameters:
model: Qwen2-VL-72B-Instruct-Q4_K_M.gguf
files:
- filename: Qwen2-VL-72B-Instruct-Q4_K_M.gguf
sha256: 0def10ee892a4d4c72ba3807d150de2e1f600edd981d15d402e3d25753cf168d
uri: huggingface://bartowski/Qwen2-VL-72B-Instruct-GGUF/Qwen2-VL-72B-Instruct-Q4_K_M.gguf
- &archfunct
license: apache-2.0
tags: