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Definitely NotJ

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reacted to chansung's post with 👍 1 day ago

A brief summary of the o3-mini The OpenAI o3-mini model is a significant improvement over the o1-mini, reaching o1 performance levels. While generally good, its performance isn't universally better than previous models (o1, o1-prev.) or GPT-4o across all benchmarks. This means workflows should be re-evaluated with each model upgrade. The o3-mini has "low," "medium," and "high" versions, with "low" being the base model used for benchmarking. It's speculated that the higher versions simply involve more processing. A fair comparison with other models like Gemini 2.0 Thinking or DeepSeek-R1 would likely need to use the "low" version and a similar "think more" mechanism. The system card is recommended reading due to its comprehensive benchmark data. https://openai.com/index/openai-o3-mini/

reacted to kristaller486's post with 🚀 1 day ago

Nebo-T1-Russian (Probably) the first "longCoT" dataset for the Russian language created via Deeseek-R1. - Prompts taken from the Sky-T1 dataset and translated via Llama3.3-70B. - Answers and reasoning generated by Deepseek-R1 (685B). - 16.4K samples in total, ≈12.4K Russian-only (in the rest, either the answer or reasoning is in English). - Languages in the answers and reasoning are labeled using fasttext. https://huggingface.co/datasets/kristaller486/Nebo-T1-Russian

reacted to nicolay-r's post with 🔥 1 day ago

📢 The LLaMA-3.1-8B distilled 8B version of the R1 DeepSeek AI is available besides the one based on Qwen 📙 Notebook for using it in reasoning over series of data 🧠 : https://github.com/nicolay-r/nlp-thirdgate/blob/master/tutorials/llm_deep_seek_7b_distill_llama3.ipynb Loading using the pipeline API of the transformers library: https://github.com/nicolay-r/nlp-thirdgate/blob/master/llm/transformers_llama.py 🟡 GPU Usage: 12.3 GB (FP16/FP32 mode) which is suitable for T4. (a 1.5 GB less than Qwen-distilled version) 🐌 Perfomance: T4 instance: ~0.19 tokens/sec (FP32 mode) and (FP16 mode) ~0.22-0.30 tokens/sec. Is it should be that slow? 🤔 Model name: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B ⭐ Framework: https://github.com/nicolay-r/bulk-chain 🌌 Notebooks and models hub: https://github.com/nicolay-r/nlp-thirdgate

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