Updated Home (markdown)

Daniel Han 2024-11-05 01:46:40 -08:00
commit 5dae544dbf

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[Updated 1st November 2024] Want to work on cool Triton kernels, optimizations and maths algorithms to make LLMs and AI more accessible? Come join us! We currently have over [2.5 million](https://huggingface.co/unsloth) monthly Hugging Face model downloads and collaborate with Meta, Google, Hugging Face on open models. We fixed dozens of bugs in [Gemma](https://x.com/danielhanchen/status/1765446273661075609), [Llama & Phi](https://unsloth.ai/blog/phi3), [Mistral](https://unsloth.ai/blog/mistral-nemo), helped fix a [gradient accumulation bug](https://x.com/danielhanchen/status/1846235913443262891), showed how [gradient checkpointing](https://unsloth.ai/blog/long-context) can be improved to reduce VRAM and more!
[Updated 5th November 2024] Want to work on cool Triton kernels, optimizations and maths algorithms to make LLMs and AI more accessible? Come join us! We currently have over [2.5 million](https://huggingface.co/unsloth) monthly Hugging Face model downloads and collaborate with Meta, Google, Hugging Face on open models. We fixed dozens of bugs in [Gemma](https://x.com/danielhanchen/status/1765446273661075609), [Llama & Phi](https://unsloth.ai/blog/phi3), [Mistral](https://unsloth.ai/blog/mistral-nemo), helped fix a [gradient accumulation bug](https://x.com/danielhanchen/status/1846235913443262891), showed how [gradient checkpointing](https://unsloth.ai/blog/long-context) can be improved to reduce VRAM and more!
We value engineers who are proactive, independent and who ship features and ideas quickly - if stuff breaks, that's fine with us! Internships are 3 monthly renewable roles ($100K - $120K USD pa) SF focused or remote. Full time roles ($150K - $250K USD pa with equity) SF only. We're [Y Combinator S24](https://www.ycombinator.com/companies/unsloth-ai) alumni & backed by Github!
@ -1022,6 +1022,8 @@ We value engineers who are proactive, independent and who ship features and idea
* 🛠Using spot instances to train models with a checkpoint recovery mechanism (like SkyPilot)
* 🛠Modal but using spot instances
* 🔢Use binary tensor cores for fast Hamming distances. Show this works in approximate nearest neighbors
* 🔢Make `torch.compile(fullgraph = True)` with no graph breaks work on PEFT QLoRA finetuning - remove all hooks
* 🔢Port Flex Attention to Unsloth for all models (Llama, Mistral, Gemma etc)
**For for details, email me, or ask me questions on Discord! For more information about us, see our:**
1. CUDA / GPU Mode lecture Talk. [Youtube link](https://www.youtube.com/watch?v=hfb_AIhDYnA)