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ehartford  updated a model 7 months ago
fne/Jais-70b
ehartford  updated a model 7 months ago
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Locutusque 
posted an update 4 months ago
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**Exploring Realistic Emotional Depth in AI Language Models**

Language models, particularly those proprietary, often grapple with issues of censorship, which can limit their ability to engage authentically with users. Recognizing this, the open-source AI community has pioneered the development of language models that are less restrained, offering more candid interactions. However, even these models tend to maintain a veneer of neutrality or overly positive responses, which might not serve all users' needs, especially in contexts where emotional depth and relatability are crucial.

To address this gap, I've curated a specialized dataset aimed at infusing language models with a more nuanced emotional spectrum, specifically targeting a darker, more introspective mood. This dataset, titled "Dark Sentience", is designed to complement existing datasets like RP (Role Play) and those focused on instruction following. It seeks to enhance the emotional intelligence of AI by exposing it to complex human emotions, including but not limited to:

- **Suicide**
- **Depression**
- **Anxiety**

Trigger Warning: Please be advised that the content within this dataset deals with heavy and potentially distressing themes.

The "Dark Sentience" dataset is now available for review and use at: Locutusque/Dark-Sentience. I encourage researchers, developers, and mental health professionals to explore how this resource can foster more genuine and supportive AI interactions.

qnguyen3 
posted an update 6 months ago
Locutusque 
posted an update 8 months ago
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Introducing llama-3-neural-chat-v2.2-8b! This powerful conversational AI model builds on Meta's Llama 3, fine-tuned by Locutusque for enhanced performance in coding, math & writing.

Locutusque/llama-3-neural-chat-v2.2-8B
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Locutusque 
posted an update 8 months ago
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I created a Twitter account a while back. I finally decided to make it public SebastianG74019. For those of you following @Locutusque on Twitter, that is not me! 😂
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qnguyen3 
posted an update 9 months ago
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🎉 Introducing nanoLLaVA, a powerful multimodal AI model that packs the capabilities of a 1B parameter vision language model into just 5GB of VRAM. 🚀 This makes it an ideal choice for edge devices, bringing cutting-edge visual understanding and generation to your devices like never before. 📱💻

Model: qnguyen3/nanoLLaVA 🔍
Spaces: qnguyen3/nanoLLaVA (thanks to @merve )

Under the hood, nanoLLaVA is based on the powerful vilm/Quyen-SE-v0.1 (my Qwen1.5-0.5B finetune) and Google's impressive google/siglip-so400m-patch14-384. 🧠 The model is trained using a data-centric approach to ensure optimal performance. 📊

In the spirit of transparency and collaboration, all code and model weights are open-sourced under the Apache 2.0 license. 🤝
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Locutusque 
posted an update 9 months ago
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Exciting news! 🎉 I've created the OpenCerebrum datasets, open-source alternatives to Aether Research's proprietary Cerebrum dataset.

The first, OpenCerebrum SFT, is a text-generation and question-answering dataset with ~1.2M examples, curated from sources like Open-Orca, glaiveai, camel-ai, and more! 📚

The second, OpenCerebrum DPO, is a smaller dataset with ~21k examples, focusing on data point optimization. It's curated from sources like jondurbin, argilla, grimulkan, and others. 📊

Both datasets are licensed under Apache-2.0 and are available in English. They're ready for use in your projects, and I welcome any feedback for future improvements! 🚀

Locutusque/OpenCerebrum-dpo
Locutusque/OpenCerebrum-SFT
Locutusque/OpenCerebrum-1.0-7b-SFT
Locutusque/OpenCerebrum-1.0-7b-DPO
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Locutusque 
posted an update 10 months ago
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🚀 Excited to unveil the Augmented ARC-Challenge Dataset with Chain-of-Thought Reasoning! 🧠✨

📚 Created by enhancing the ARC dataset with AI-generated reasoning from Google's Gemini Pro, this resource aims to improve question answering models' ability to tackle complex science queries.

🔍 Features:
- 1068 training examples
- Detailed reasoning steps for nuanced understanding
- Questions spanning physics, chemistry, biology, & more!

🌟 Ideal for benchmarking QA models, enhancing model interpretability, and studying in-context examples.

🔗 Dive in and help your models learn the art of reasoning!

🔎 Explore more: Locutusque/arc-cot
Locutusque 
posted an update 10 months ago
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🚀 Introducing UltraTextbooks v2: The Ultimate Educational NLP Dataset! 📚

I've expanded the dataset to include an even wider range of high-quality textbooks, with a special focus on machine learning, mathematics, and coding. 💻🧮

With over 3 million examples and 6 GB of data, UltraTextbooks v2 is your go-to resource for training advanced language models and developing cutting-edge educational applications. 🎓

Explore the dataset on Hugging Face and unlock the power of AI in education! 🔓

Locutusque/UltraTextbooks-2.0
Locutusque 
posted an update 11 months ago
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🚨📢🚀 Introducing Hercules-v2.0! A robust, multifaceted dataset for advanced models to excel in specialized domains. 🔬🌌📚🚀

📈 1.3M examples from sources derived from OpenHermes-2.5, covering Biology, Physics, Math, CS, Instruction Following, Function Calling, and Roleplay.

🔬 Enhance natural language understanding and processing in diverse domains.

🚀 Develop models for complex instructions, function calls, and roleplay scenarios.

📄 Licensed under Apache-2.0.

Thank you to all contributors and OpenHermes-2.5 creator! 🎉


Check it out here: Locutusque/hercules-v2.0

📣 Update: After fine-tuning Mistral 7B on 100,000 examples of Hercules-v2.0, it earns an average score of 62 on Open LLM Leaderboard, outperforming OpenHermes-2.5 and OpenChat-3.5. 🎉

Check out this model here: Locutusque/Hercules-2.0-Mistral-7B
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Locutusque 
posted an update 11 months ago
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Introducing the "UltraTextbooks" dataset 🚀📚
Check it out here: Locutusque/UltraTextbooks
📘 A comprehensive collection of high-quality synthetic and human-written textbooks
👨‍🎓 Spanning various subjects and programming languages
🔧 Designed for advanced NLP tasks like language modeling, educational QA, text summarization, and content generation for edu purposes
🚀 Future expansions planned with additional data sources to enhance the corpus
👇 Data composition highlights 👇
- Blend of synthetic and human-written material
- Includes topics from general edu to specialized areas
- Structured with field "text"
🧩 Data collection from various Hugging Face datasets, guided by a diverse and comprehensive curation rationale
🚧 Limitations may exist, so report any issues you encounter
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Locutusque 
posted an update 11 months ago
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Hello everyone,
This is my first post! I have also decided to release a dataset that I have been keeping private for a while now. I’ve kept it private because I’m not sure if it is actually good or not. I would greatly appreciate it if someone could fine-tune some larger models and evaluate the dataset. Named Hercules-v1.0, it is a turbo-charged version of teknium’s openhermes generated by augmenting its data sources. Learn more in the dataset card: Locutusque/hercules-v1.0
ehartford 
posted an update 12 months ago