kai-os/Carnice-9b
Text Generation โข 9B โข Updated โข 2.91k โข 178
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 9 months ago
by 
Fedoration
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Quantizations version
#5 opened 9 months ago
by baiall
dose it can work in the vllm
#3 opened 9 months ago
by baiall
Why is NuExtract-2.0-8B is inferior than 4B?
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#1 opened 10 months ago
by 
ikiransuryavanshi
reacted to anakin87's post with โค๏ธ 9 months ago
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Haystack can now see ๐
The latest release of the Haystack OSS LLM framework adds a long-requested feature: image support!
๐ 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?
๐ง Support for multiple LLM providers: OpenAI, Amazon Bedrock, Google Gemini, Mistral, NVIDIA, OpenRouter, Ollama and more (support for Hugging Face API coming ๐)
๐๏ธ Prompt template language to handle structured inputs, including images
๐ PDF and image converters
๐ Image embedders using CLIP-like models
๐งพ LLM-based extractor to pull text from images
๐งฉ Components to build multimodal RAG pipelines and Agents
I had the chance of leading this effort with @sjrhuschlee (great collab).
๐ Below you can find two notebooks to explore the new features:
๓ ฏโข๓ ๓ Introduction to Multimodal Text Generation https://haystack.deepset.ai/cookbook/multimodal_intro
๓ ฏโข๓ ๓ Creating Vision+Text RAG Pipelines https://haystack.deepset.ai/tutorials/46_multimodal_rag
(๐ผ๏ธ image by @bilgeyucel )
The latest release of the Haystack OSS LLM framework adds a long-requested feature: image support!
๐ 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?
๐ง Support for multiple LLM providers: OpenAI, Amazon Bedrock, Google Gemini, Mistral, NVIDIA, OpenRouter, Ollama and more (support for Hugging Face API coming ๐)
๐๏ธ Prompt template language to handle structured inputs, including images
๐ PDF and image converters
๐ Image embedders using CLIP-like models
๐งพ LLM-based extractor to pull text from images
๐งฉ Components to build multimodal RAG pipelines and Agents
I had the chance of leading this effort with @sjrhuschlee (great collab).
๐ Below you can find two notebooks to explore the new features:
๓ ฏโข๓ ๓ Introduction to Multimodal Text Generation https://haystack.deepset.ai/cookbook/multimodal_intro
๓ ฏโข๓ ๓ Creating Vision+Text RAG Pipelines https://haystack.deepset.ai/tutorials/46_multimodal_rag
(๐ผ๏ธ image by @bilgeyucel )
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Introducing ColQwen-Omni: Retrieve in every modality
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