Neat – would that be in the https://
huggingface.co/databricks/dbr
x-instruct/tree/main
… repo? I couldn't spot it there
OPEN SOURCE
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DBRX Instruct Model Repository Access Discussion
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Fine-tuning LLaMA 2 7B and Mistral models for practical applications
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This was based off of an older project I did, so the model we train is LLaMA 2 7B. If you want, you can easily use a newer + better model like Mistral 7B.
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Claude LLM Trainer: Open-Source Task-Specific Model Training
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Introducing `claude-llm-trainer` ✍️
— Matt Shumer (@mattshumer_) 27 mars 2024
The world's simplest way to train a task-specific LLM.
Just write a sentence describing the model you want.
A chain of AI systems will generate a dataset and train a model for you.
And it's open-source. pic.twitter.com/k6NDkSMmcBIntroducing `claude-llm-trainer` The world's simplest way to train a task-specific LLM. Just write a sentence describing the model you want. A chain of AI systems will generate a dataset and train a model for you. And it's open-source.
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claude-llm-trainer: AI Model Training Platform Using Claude 3
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How it works: – The user describes the model they want
Ex: "A model that writes Python functions" – claude-llm-trainer leverages a chain of Claude 3 calls to create a great dataset for your task. – We process the dataset, and train a LLaMA model! -

Databricks New LLM Beats Mixtral in Open-Source Race
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There's a new king of open-source. The new LLM from @databricks just beat Mixtral! – 132B total params (16 experts), 36B active (4 experts)
– Trained on *12T* tokens
– 32K context length From my initial tests, I'm really impressed. -

Hugging Face discusses purpose-trained AI models for B2B sector
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#hf #friends #solarllm We had a great dinner with Hugging Face friends @art_zucker in Korea. We discussed AI challenges. In the B2B sector, smaller, purpose-trained models seem to perform better. Overall, it was a heartwarming conversation about the future of Upstage. It was a
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Building DBRX: Open Source LLM Development and Enterprise GenAI
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What goes into building the most powerful open source LLM yet? @DbrxMosaicAI gives a glimpse into how they created #DBRX – from GPU decisions to benchmarking. Great read from @willknight @WIRED that shows why open source is critical for enterprise GenAI.
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Mosaic Databricks Releases Competitive New Open Model
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legit new open model just dropped from Mosaic/Databricks.
Seems very competitive on offline benchmarks.
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DBRX: New Efficient Open Source LLM Standard
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#DBRX sets a new standard for efficient open source LLMs. While it has 132B total parameters, with its fine-grained MoE architecture, DBRX only uses 36B at any given time. Learn more about how we built #DBRX & benchmarked its performance. https://
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DBRX: New Open Source Model Beats Grok and Competition
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Scoop: Grok had a good run but there’s a new open source model that beats out the rest: DBRX. I got an inside look at the impressive work that went into building it: