Pete Walsh @epwalsh
Research Engineer @allen_ai | Python | Rust | Neovim github.com/epwalsh Joined April 2024-
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Pete Walsh retweeted
Introducing olmOCR, our open-source tool to extract clean plain text from PDFs! Built for scale, olmOCR handles many document types with high throughput. Run it on your own GPU for free—at over 3000 token/s, equivalent to $190 per million pages, or 1/32 the cost of GPT-4o!
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Pete Walsh retweeted
kicking off 2025 with our OLMo 2 tech report while payin homage to the sequelest of sequels 🫡 🚗 2 OLMo 2 Furious 🔥 is everythin we learned since OLMo 1, with deep dives into: 🚖 stable pretrain 🚔 lr anneal 🤝 data curricula 🤝 soups 🚘 tulu post-train 🚜 compute infra 👇🧵
Pete Walsh retweeted
Releasing OLMoE - the first good Mixture-of-Experts LLM that's 100% open-source - 1B active, 7B total params for 5T tokens - Best small LLM & matches more costly ones like Gemma, Llama - Open Model/Data/Code/Logs + lots of analysis & experiments 📜arxiv.org/abs/2409.02060 🧵1/9
Pete Walsh retweeted
Congrats to our team for winning two paper awards at #ACL2024! OLMo won the Best Theme Paper award, and Dolma won a Best Resource Paper award! All the credit goes to the whole team for the massive group effort 🎉🎉
Pete Walsh retweeted
A GitHub flaw lets attackers upload executables that appear to be hosted on a company's official repo, such as Microsoft's—without the repo owner knowing anything about it. The following URLs, for example, make it seem like these ZIPs are present on Microsoft's source code repo:…
Pete Walsh retweeted
OLMo is now in llama.cpp! github.com/ggerganov/llam… Thank you @ggerganov!
The full training loop metrics are now available on W&B 👇 Stage 1 pretraining: wandb.ai/ai2-llm/OLMo-7… Stage 2 annealing: wandb.ai/ai2-llm/OLMo-7…
The full training loop metrics are now available on W&B 👇 Stage 1 pretraining: wandb.ai/ai2-llm/OLMo-7… Stage 2 annealing: wandb.ai/ai2-llm/OLMo-7…
Pete Walsh retweeted
Announcing our latest addition to the OLMo family, OLMo 1.7!🎉Our team's efforts to improve data quality, training procedures and model architecture have led to a leap in performance. See how OLMo 1.7 stacks up against its peers and peek into the technical details on the blog:…
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