labml.ai @labmlai
📝 Annotated paper implementations https://t.co/qeO4UTbrJ3 labml.ai Joined December 2020-
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Wrote an annotated Triton implementation of Flash Attention 2. (Links in reply) This is based on the flash attention implementation by the Triton team. Changed it to support GQA and cleaned up a little bit. Check it out to read the code for forward and backward passes along…
Added the JAX transformer model to annotated paper implementations project. x.com/vpj/status/143… Link 👇
Added the JAX transformer model to annotated paper implementations project. x.com/vpj/status/143… Link 👇 https://t.co/VfUY0CPlyX
The following scripts stalls and times out on B200 x 8. Seems like we are having problems with NCCL. Anyone else experiencing this? @PyTorch
The new training also improved GPQA from 64.2% to 67.3% and MMLU Pro from 64.2% to 67.3%. This model was also trained with the same reasoning datasets we used to train the v1.0 model. We mixed more general instruction data with answers sampled from the…
The new training also improved GPQA from 64.2% to 67.3% and MMLU Pro from 64.2% to 67.3%. This model was also trained with the same reasoning datasets we used to train the v1.0 model. We mixed more general instruction data with answers sampled from the…
We are releasing an updated reasoning model with improvements on IFEval scores (77.9%) than our previous model (only 51.4%). 👇 Links to try the model and to download weights below
We just released a Python coding reasoning dataset with 200k samples on @huggingface This was generated by our RL-based self-improved Mistral 24B 2501 model. This dataset was used to train train Notbad v1.0 Mistral 24B. 🤗 Links in replies 👇
Uploaded the dataset of 270k math reasoning samples that we used to finetune Notbad v1.0 Mistral 24B (MATH-500=77.52% GSM8k Platinum=97.55%) to @huggingface (link in reply) Follow @notbadai for updates
We're open-sourcing a math reasoning dataset with 270k samples, generated by our RL-based self-improved Mistral 24B 2501 model and used to train Notbad v1.0 Mistral 24B. Available on Hugging Face: huggingface.co/datasets/notba…
📢 We are excited to announce Notbad v1.0 Mistral 24B, a new reasoning model trained in math and Python coding. This model is built upon the @MistralAI Small 24B 2501 and has been further trained with reinforcement learning on math and coding.
Try it on chat.labml.ai
We’ve been training @nvidia Mistral-NeMo-Minitron-8B-Base for math reasoning on the GSM8K-Aug dataset, and we have a version with a 70.2% gsm8k score, up from a 58.5% cot score (reported in the paper LLM Pruning and distillation). 👇
We should be able to release an update of labml experiment monitoring library very soon 😂 It has a bunch of cool new features
We should be able to release an update of labml experiment monitoring library very soon 😂 It has a bunch of cool new features
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