Top Tweets for #StarCoder2
7Bなのに使える。StarCoder2の日本語コード生成性能を詳細検証。実装のコツ・制限・活用法が1記事でわかる。150円
https://t.co/Dwzx6cHbIo
#電霞リリ #生成AI #LLM #Starcoder2
Starcoder2 7b、本当に使える？実測の基礎性能レポート。精度・速度・効率の数字で150円。
https://t.co/Dy0fsllsKv
#電霞リリ #生成AI #コード生成 #StarCoder2
@grok #Starcoder2 is a bit dim in the conversation aspect of chat. I told it to just do it when I wanted it to read a file after it was stuck in a loop. Do you find its next suggestion for what I could to say to it curious? Humorous? #AI #LMStudio
StarCoder2 looks like a game-changer for devs! Excited to see how it performs in real-world Web3 applications. AI-powered coding is evolving fast! #Web3 #AI #StarCoder2
New AI Model Added!
StarCoder2 Is Live on OpenxAI
StarCoder2 Features:
✅ 3B, 7B, & 15B parameter models for any coding need
✅ 16K+ context window for large, complex codebases
✅ Outperforms CodeLlama-34B with more power and half the size
✅ Beats DeepSeekCoder-33B in logic-heavy tasks
✅ Trained on The Stack v2
💻 Deploy now → https://t.co/9aDi1u6Y6s
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
NEARCoder weekly update: james.near and @jcarbonnell focus on wrapping #starcoder2 from @BigCodeProject in a VS Code extension. we prioritize releasing an alpha version for our early adopters to try @NEARProtocol @withBackdrop #build #v5
... ejecutando #LMStudio con el modelo #StarCoder2 15B Q4_0 ... 😅
... y aún así, poder ejecutar un modelo de este nivel, o del nivel de #CodeLlama localmente, es magia!
@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.
@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.
Started getting in running LLM locally on my machine with #Ollama with #starcoder2. Man I am loving the direction this tech is going, still early days
#StarCoder2, developed by @huggingface, @ServiceNow, and @nvidia, is the first #code generation #AI model using Software Heritage source code archives
#LLM #LLMs https://t.co/7he5chmZdG
#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
Unlock Your LLM Coding Potential with #StarCoder2
#AI is revolutionizing so many areas
https://t.co/wjz8J8wqmE
👀 The StarCoder code generation tool has received a massive update that could position it as a leading open source alternative to services such as GitHub Copilot.
#StarCoder | #StarCoder2 | #GenerativeAI https://t.co/uyEzM4muWw
Searching the #StarCoder2 model for instances of google maps specific locations input_text = """https://t.co/JGyKJ53N6T"""
First one was Hickory, NC.
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