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Lewis Tunstall

@_lewtun • 20,426 subscribers

🤠 post-training @huggingface

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If you're using GRPO in TRL, you should really switch to the new async trainer. In our benchmarks, it's ~2-4x faster 🔥

If you're using GRPO in TRL, you should really switch to the new async trainer. In our benchmarks, it's ~2-4x faster 🔥

29,808 次观看

The ML Intern can now ping you on Slack when it's finished training models, generating datasets, or compiling an analysis of the 1000 ablations you launched 💸

The ML Intern can now ping you on Slack when it's finished training models, generating datasets, or compiling an analysis of the 1000 ablations you launched 💸

39,622 次观看

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You can now have an AI researcher running on your laptop 24/7 for free! Running Qwen3-35B-A3B with llama.cpp and a 4-bit quant from Unsloth

You can now have an AI researcher running on your laptop 24/7 for free! Running Qwen3-35B-A3B with llama.cpp and a 4-bit quant from Unsloth

118,819 次观看 • 5 个月前

The recording from my CERN lecture on training LLMs is now online! You can follow along with the slides here: I recommend watching it with 2x speed because my Aussie drawl is a little slow 😃

The recording from my CERN lecture on training LLMs is now online! You can follow along with the slides here: I recommend watching it with 2x speed because my Aussie drawl is a little slow 😃

22,860 次观看 • 2 个月前

We just added speculative decoding for Carbon, so you can now generate DNA sequences 2-3x faster with llama.cpp This enables anyone to process huge genomes locally! GGUF weights and quants:

We just added speculative decoding for Carbon, so you can now generate DNA sequences 2-3x faster with llama.cpp This enables anyone to process huge genomes locally! GGUF weights and quants:

16,007 次观看 • 5 个月前

Chatting to CNN about why DeepSeek-R1 and the open source community is awesome was not on my bingo card this morning (I’ve never been on TV before 😂)

Chatting to CNN about why DeepSeek-R1 and the open source community is awesome was not on my bingo card this morning (I’ve never been on TV before 😂)

33,926 次观看 • 1 年前

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