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Nicolay Rusnachenko

nicolay-r
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https://nicolay-r.github.io/

AI & ML interests

Information Retrieval惻Medical Multimodal NLP (šŸ–¼+šŸ“) Research Fellow @BU_Research惻software developer http://arekit.io惻PhD in NLP

Recent Activity

posted an update about 23 hours ago
šŸ“¢ For those who wish to launch distilled DeepSeek R1 for reasoning with schema, sharing the Google Colab notebook: šŸ“™ https://github.com/nicolay-r/nlp-thirdgate/blob/master/tutorials/llm_deep_seek_7b_distill_colab.ipynb This is a wrapper of the Qwen2 transformers šŸ¤— provider via bulk-chain framework. Model: https://huggingface.co./deepseek-ai/DeepSeek-R1-Distill-Qwen-7B GPU: T4 (15GB) is nearly enough in float32 mode. šŸš€ To boost the performance you may set bf16 mode (use_bf16=True) šŸŒŸ Powered by bulk-chain: https://github.com/nicolay-r/bulk-chain
upvoted a collection 2 days ago
DeepSeek-R1
posted an update 2 days ago
šŸ“¢ For those who wish to apply DeepSeek-R1 for handling tabular / streaming data using schema of prompts (CoT), the OpenRouter AI hosts API for accessing: https://openrouter.ai/deepseek/deepseek-r1 The no-string option to quick start with using DeepSeek-R1 includes three steps: āœ… OpenRouter provider: https://github.com/nicolay-r/nlp-thirdgate/blob/master/llm/open_router.py āœ… Bulk-chain for infering data: https://github.com/nicolay-r/bulk-chain āœ… Json Schema for Chain-of-Though reasoning (see screenshot šŸ“· below) šŸ“ŗ below is a screenshot of how to quick start the demo, in which you can test your schema for LLM responses. It would ask to type all the parameters first for completing the requests (which is `text` within this example). šŸ“ƒ To apply it for JSONL/CSV data, you can use `--src` shell parameter for passing the related file ā³ As for time, OpenRouter finds me relatively slow with 30~40 seconds per request Models: https://huggingface.co./deepseek-ai/DeepSeek-R1
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