ApsaraStackMaaS/EvoQwen2.5-VL-Retriever-7B-v1
Visual Document Retrieval
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8B
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Qi Liu
baiall
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NuMarkdown-8B-reasoning on A100 40GB is extremely slow (even for 1 token)
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#4 opened 4 months ago
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Fedoration
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Quantizations version
#5 opened 4 months ago
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baiall
dose it can work in the vllm
#3 opened 5 months ago
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baiall
Why is NuExtract-2.0-8B is inferior than 4B?
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#1 opened 5 months ago
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Haystack can now see π
The latest release of the Haystack OSS LLM framework adds a long-requested feature: image support!
π Notebooks below
This isn't just about passing images to an LLM. We built several features to enable practical multimodal use cases.
What's new?
π§ Support for multiple LLM providers: OpenAI, Amazon Bedrock, Google Gemini, Mistral, NVIDIA, OpenRouter, Ollama and more (support for Hugging Face API coming π)
ποΈ Prompt template language to handle structured inputs, including images
π PDF and image converters
π Image embedders using CLIP-like models
π§Ύ LLM-based extractor to pull text from images
𧩠Components to build multimodal RAG pipelines and Agents
I had the chance of leading this effort with @sjrhuschlee (great collab).
π Below you can find two notebooks to explore the new features:
σ ―β’σ σ Introduction to Multimodal Text Generation https://haystack.deepset.ai/cookbook/multimodal_intro
σ ―β’σ σ Creating Vision+Text RAG Pipelines https://haystack.deepset.ai/tutorials/46_multimodal_rag
(πΌοΈ image by @bilgeyucel )
The latest release of the Haystack OSS LLM framework adds a long-requested feature: image support!
π Notebooks below
This isn't just about passing images to an LLM. We built several features to enable practical multimodal use cases.
What's new?
π§ Support for multiple LLM providers: OpenAI, Amazon Bedrock, Google Gemini, Mistral, NVIDIA, OpenRouter, Ollama and more (support for Hugging Face API coming π)
ποΈ Prompt template language to handle structured inputs, including images
π PDF and image converters
π Image embedders using CLIP-like models
π§Ύ LLM-based extractor to pull text from images
𧩠Components to build multimodal RAG pipelines and Agents
I had the chance of leading this effort with @sjrhuschlee (great collab).
π Below you can find two notebooks to explore the new features:
σ ―β’σ σ Introduction to Multimodal Text Generation https://haystack.deepset.ai/cookbook/multimodal_intro
σ ―β’σ σ Creating Vision+Text RAG Pipelines https://haystack.deepset.ai/tutorials/46_multimodal_rag
(πΌοΈ image by @bilgeyucel )
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Article
Introducing ColQwen-Omni: Retrieve in every modality
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Looking forward training Dataset
#1 opened 6 months ago
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baiall
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