Top Tweets for #starcoder2
If you missed the fantastic keynotes on #CodeLlama and #Starcoder2 from their initiators and core contributors @b_roziere and @LoubnaBenAllal1, you can still check out the slides https://t.co/9oM9LgZDGF Hope to see your submissions to the 2nd @LLM4Code workshop. #LLM4code #llm
Set up a CDE using #Ollama, #Continue, #Llama3, and #Starcoder2 large language models with @RedHat #OpenShift Dev Spaces, empowering you to code faster and more efficiently. https://t.co/RsVcFVZgUB
Set up a CDE using #Ollama, #Continue, #Llama3, and #Starcoder2 large language models with @RedHat #OpenShift Dev Spaces, empowering you to code faster and more efficiently.
https://t.co/RsVcFVZgUB
@LingmingZhang from @IllinoisCS talked about fully transparent pre-training and instruction tuning of code LLMs including 💫#StarCoder2 and 💫#Magicoder. He also briefly discuss the #promising future of leveraging LLMs to address important and challenging #SE problems.
📢Speaker Announcement! 📢
Join us at #SEMLA2024 for an enlightening talk with @LingmingZhang an Associate Professor @IllinoisCS, on the "LLM4Code (#magicoder and #starcoder2) and their applications in software quality assurance".
🚀Register now 👉 https://t.co/uscKw1VNkl
#continue (https://t.co/DZWttk15iJ) is my current pair programming tool along with #ollama and LLMs like #llama2, #starcoder2, #mistral etc.
What is yours?
If you do not code, check with your teams and ask them what they are using.
#StarCoder2 is a family of #opensource LLMs for #code.
You can
👉trust this LLM while writing your code
👉decide where & how to fine-tune it
👉 decide where to deploy it
And as with all other models available on @huggingface
➡️no vendor lock-in
https://t.co/gwkGthAbLo
.@GitHub #Copilot Enterprise and a new set of #StarCoder2 #LLMs released this week will add to an expanding array of #genAI #codingassistant tools but experts urge caution as enterprises look to adopt them. https://t.co/jPmynu6Eul
Congratulations to the @BigCodeProject and @SWHeritage communities on developing and releasing the #StarCoder2 code LLM foundation models and The Stack v2 dataset, and to our research partners @huggingface and @nvidia for training the models.
#OpenScience #OpenSource #FTW
This is the result of hard work by the BigCode community and supported by @ServiceNowRSRCH, @huggingface and @nvidia to train the 3B, 7B and 15B models!
The Stack v2 was built with @SoftwareHeritage and the full processed training data is coming soon!
https://t.co/XDXyN01jOv
And here, you can find an example of fine-tuning #StarCoder2-3B on a free colab to create a coding assistant! 🤖👩💻
https://t.co/uFyo7PmTd6
Introducing: StarCoder2 and The Stack v2 ⭐️
StarCoder2 is trained with a 16k token context and repo-level information for 4T+ tokens. All built on The Stack v2 - the largest code dataset with 900B+ tokens.
All code, data and models are fully open!
https://t.co/fM7GinxJBd
By Paul Hill - Nvidia, Hugging Face, and ServiceNow have released a new set of LLMs known as StarCoder2. Trained on 619 programming languages, it aims to help programmers writer and understand code efficiently. #StarCoder2 #NVIDIA https://t.co/n9qlpS9FUn
🌟 Discover #SoftwareHeritage's mission: preserving human code knowledge! Learn about our journey, challenges, and groundbreaking milestone: #StarCoder2, the first #AI model for code using our #repository.
Join us in shaping ethical AI!
👉Read more: https://t.co/rUH6e3ui2b
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