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<h1>Open-source LLMs to foster <strong>transparency</strong>, <strong>trust</strong>, and <strong>collaborative research</strong>.</h1>
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<h2>Crystal:</h2>
<p>SlimPajama and StarCoder datasets, balancing in NLP and coding.</p>
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<p>Chat model, carefully selected of mix language and code datasets.</p>
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<p>Coming soon...</p>
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<h2>Amber:</h2>
<p>7B English language model with the LLaMA architecture.</p>
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<p>Instruction following model finetuned from LLM360-Amber.</p>
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<p>Safety-finetuned instruction model using AmberChat as the base.</p>
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<h3>Crystal Paper</h3>
<p>Large Language Models (LLMs) specializing in code generation (which are
also often referred to as code LLMs), e.g., StarCoder and Code Llama, play
increasingly critical roles in various software development scenarios...</p>
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<h3>LLM360: Towards Fully Transparent Open-Source LLMs</h3>
<p>The recent surge in open-source Large Language Models (LLMs), such as LLaMA,
Falcon, and Mistral, provides diverse options for AI practitioners and researchers.
However, most LLMs have only released partial artifacts...</p>
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<h3>Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models</h3>
<p>This paper explores the trustworthiness of large language models (LLMs) during pre-training, focusing on reliability, privacy, toxicity, fairness, and robustness using LLM360.</p>
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<h3>Introducing LLM360: Fully Transparent Open-Source LLMs</h3>
<p>In recent months, the open-source large language model (LLM) community has seen tremendous model contributions. However, model weight releases and overview technical reports do not contain enough information to cover the complexity of LLM training...</p>
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<h3>LLM Pretraining Guide</h3>
<p>The LLM360 Pre-Training Guide provides complete details and considerations for anyone leading a pre-training project. The Guide is divided into three categories: Project Planning, Initial Training Decision, Ensuring Success. Learning and procedural steps were ...</p>
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<p>Coming Soon...</p>
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<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Great to see LLM360 in the top 5 on the ‘Openness of instruction-tuned LLMs’ scoreboard along with <a href="https://twitter.com/BigscienceW?ref_src=twsrc%5Etfw">@BigscienceW</a>, <a href="https://twitter.com/laion_ai?ref_src=twsrc%5Etfw">@laion_ai</a>, and <a href="https://twitter.com/togethercompute?ref_src=twsrc%5Etfw">@togethercompute</a>.<br><br>Check out the work from <a href="https://twitter.com/Radboud_Uni?ref_src=twsrc%5Etfw">@Radboud_Uni</a> here: <a href="https://t.co/g2Lf4yNPMz">https://t.co/g2Lf4yNPMz</a> <a href="https://t.co/t0MELYPpvK">pic.twitter.com/t0MELYPpvK</a></p>— LLM360 (@llm360) <a href="https://twitter.com/llm360/status/1755311069504114834?ref_src=twsrc%5Etfw">February 7, 2024</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
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<blockquote class="twitter-tweet"><p lang="en" dir="ltr">1/3 We are releasing CrystalChat 🔮 — a top-scoring 7B chat model, fully open source!<br><br>As always, CrystalChat is released under Apache 2.0, along with all training data, checkpoints, and implementation details.<br><br>Grab the model here: <a href="https://t.co/n78jhxpVhA">https://t.co/n78jhxpVhA</a> <a href="https://t.co/jPXgEL0Xq5">pic.twitter.com/jPXgEL0Xq5</a></p>— LLM360 (@llm360) <a href="https://twitter.com/llm360/status/1745481617655669103?ref_src=twsrc%5Etfw">January 11, 2024</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
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<blockquote class="twitter-tweet" data-conversation="none"><p lang="en" dir="ltr">2/3 Choosing models without knowing the training data is becoming riskier and riskier (e.g. <a href="https://twitter.com/nytimes?ref_src=twsrc%5Etfw">@nytimes</a> vs <a href="https://twitter.com/OpenAI?ref_src=twsrc%5Etfw">@openai</a>).<br><br>CrystalChat makes all that information available — with more to come!<br><br>Check out how CrystalChat compares to SOTA models and performs on the major benchmarks below. <a href="https://t.co/paTKmPCHph">pic.twitter.com/paTKmPCHph</a></p>— LLM360 (@llm360) <a href="https://twitter.com/llm360/status/1745481619794763953?ref_src=twsrc%5Etfw">January 11, 2024</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
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