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P.M.SALMAN KHAN

salmankhanpm
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https://salmankhanpm.co

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reacted to nicolay-r's post with 🔥 4 days 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
reacted to nicolay-r's post with 🔥 5 days ago
🚨 MistralAI is back with the mistral small V3 model update and it is free! 👏 https://docs.mistral.ai/getting-started/models/models_overview/#free-models 🚀 Below is the the provider for reasoning over your dataset rows with custom schema 🧠 https://github.com/nicolay-r/nlp-thirdgate/blob/master/llm/mistralai_150.py My personal usage experience and findings: ⚠️The original API usage may constanly fail with the connection. To bypass this limitation, use `--attempts [COUNT]` to withstand connection loss while iterating through JSONL/CSV data (see 📷 below) 💵 It is actually: ~0.18 USD 1M tokens 🌟 Framework: https://github.com/nicolay-r/bulk-chain
upvoted an article 6 days ago
Open-R1: a fully open reproduction of DeepSeek-R1
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upvoted an article 6 days ago
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Open-R1: a fully open reproduction of DeepSeek-R1

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Red-Teaming Large Language Models

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