The best part about model merging is how people build upon your models and come up with crazy names.
OPEN SOURCE
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Open Source Tools for Large Language Models
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Open Source LLM Tools https://
bit.ly/3N8Lwfm
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Building AI Code Assistant with SambaNova Cloud
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In this blog, we demonstrate how to build a useful application to power @continuedev
, the leading #OpenSource AI code assistant. With SambaNova Cloud, you can build custom autocomplete & chat experiences within VS Code or JetBrains. Learn more https://
sambanova.ai/blog/accelerat
ing-coding-with-sambanova-cloud
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OSS Canvas UX Alternative with Memory for User Preferences
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OSS version of OpenAI's Canvas UX… but also adds in memory (so if you make corrections/changes, it will remember your preferences for the future) s/o @BraceSproul for this!!
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Summary of paper using Llama 3.2
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Summary of paper using Llama 3.2 pic.twitter.com/9xsNnPlnnz
— AK (@_akhaliq) 15 octobre 2024Summary of paper using Llama 3.2
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AutoTrain Docs Enhanced with Walkthroughs and Sample Datasets
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AutoTrain Docs just got a massive improvement. Now, there are example walkthroughs, task pages consists of sample dataset for each tasks and explanation of all parameters and quickstarts guides for both local and Hugging Face Spaces training. If something is missing, let me know
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New SOTA 7B LLM Released Under Apache-2.0 License
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Cool to see a new SOTA 7B LLM released under Apache-2.0. Hopefully this will help bring state space models to mainstream! https://
huggingface.co/Zyphra/Zamba2-
7B
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Try Out the Zamba2-7B App on Hugging Face Spaces
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try out the app here: https://
huggingface.co/spaces/Zyphra/
Zamba2-7B
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LLaVA-Critic: Open-Source Multimodal Model Evaluator
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LLaVA-Critic: Learning to Evaluate Multimodal Models https://
arxiv.org/abs/2410.02712 https://
llava-vl.github.io/blog/2024-10-0
3-llava-critic/
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the first open-source large multimodal model (LMM) designed as a generalist evaluator to assess performance across a wide range of multimodal tasks. -
Open-source Framework Enhances LLM Reasoning Capabilities
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an open-source framework designed to integrate key components for enhancing the reasoning capabilities of large language models (LLMs)