#bitnet — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #bitnet, aggregated by home.social.
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От золотого сечения до троичности Брусенцова: одно семейство числовых форматов от 2 до 1024 бит
Почему bfloat16 стал стандартом для обучения нейросетей? Не потому, что он оптимален как число, — а потому что под него десять лет затачивали GPU и TPU. Снимаем этот эффект железа и смотрим на числа честно. В статье: семейство форматов GoldenFloat (GF4, GF8, GF16, GF32, GF64, GF1024) с основанием φ = (1+√5)/2; метрика «бит на значение» (GF16 = 2.5725 обходит bf16 = 2.6135 на одном корпусе); и неожиданный мост к троичной машине «Сетунь» Н. П. Брусенцова — три состояния −1/0/+1 как предельная точка той же φ-лестницы. Без обещаний золотых гор: что измерено — измерено, что только спека — помечено. Читать про φ-форматы
https://habr.com/ru/articles/1050924/
#oldenFloat #золотое_сечение #числа_с_плавающей_точкой #GF16 #bfloat16 #троичность #Сетунь #Брусенцов #BitNet #FPGA
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От золотого сечения до троичности Брусенцова: одно семейство числовых форматов от 2 до 1024 бит
Почему bfloat16 стал стандартом для обучения нейросетей? Не потому, что он оптимален как число, — а потому что под него десять лет затачивали GPU и TPU. Снимаем этот эффект железа и смотрим на числа честно. В статье: семейство форматов GoldenFloat (GF4, GF8, GF16, GF32, GF64, GF1024) с основанием φ = (1+√5)/2; метрика «бит на значение» (GF16 = 2.5725 обходит bf16 = 2.6135 на одном корпусе); и неожиданный мост к троичной машине «Сетунь» Н. П. Брусенцова — три состояния −1/0/+1 как предельная точка той же φ-лестницы. Без обещаний золотых гор: что измерено — измерено, что только спека — помечено. Читать про φ-форматы
https://habr.com/ru/articles/1050924/
#oldenFloat #золотое_сечение #числа_с_плавающей_точкой #GF16 #bfloat16 #троичность #Сетунь #Брусенцов #BitNet #FPGA
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От золотого сечения до троичности Брусенцова: одно семейство числовых форматов от 2 до 1024 бит
Почему bfloat16 стал стандартом для обучения нейросетей? Не потому, что он оптимален как число, — а потому что под него десять лет затачивали GPU и TPU. Снимаем этот эффект железа и смотрим на числа честно. В статье: семейство форматов GoldenFloat (GF4, GF8, GF16, GF32, GF64, GF1024) с основанием φ = (1+√5)/2; метрика «бит на значение» (GF16 = 2.5725 обходит bf16 = 2.6135 на одном корпусе); и неожиданный мост к троичной машине «Сетунь» Н. П. Брусенцова — три состояния −1/0/+1 как предельная точка той же φ-лестницы. Без обещаний золотых гор: что измерено — измерено, что только спека — помечено. Читать про φ-форматы
https://habr.com/ru/articles/1050924/
#oldenFloat #золотое_сечение #числа_с_плавающей_точкой #GF16 #bfloat16 #троичность #Сетунь #Брусенцов #BitNet #FPGA
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Learn how to install bitnet.cpp, download the BitNet b1.58 model, and run a fully local AI chat and inference server on your machine. This beginner guide shows you how to run tiny AI models without cloud dependencies. https://www.kdnuggets.com/run-tiny-ai-models-locally-using-bitnet-a-beginner-guide #AIagent #AI #GenAI #AIInfrastructure #BitNet
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Learn how to install bitnet.cpp, download the BitNet b1.58 model, and run a fully local AI chat and inference server on your machine. This beginner guide shows you how to run tiny AI models without cloud dependencies. https://www.kdnuggets.com/run-tiny-ai-models-locally-using-bitnet-a-beginner-guide #AIagent #AI #GenAI #AIInfrastructure #BitNet
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Learn how to install bitnet.cpp, download the BitNet b1.58 model, and run a fully local AI chat and inference server on your machine. This beginner guide shows you how to run tiny AI models without cloud dependencies. https://www.kdnuggets.com/run-tiny-ai-models-locally-using-bitnet-a-beginner-guide #AIagent #AI #GenAI #AIInfrastructure #BitNet
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Learn how to install bitnet.cpp, download the BitNet b1.58 model, and run a fully local AI chat and inference server on your machine. This beginner guide shows you how to run tiny AI models without cloud dependencies. https://www.kdnuggets.com/run-tiny-ai-models-locally-using-bitnet-a-beginner-guide #AIagent #AI #GenAI #AIInfrastructure #BitNet
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Learn how to install bitnet.cpp, download the BitNet b1.58 model, and run a fully local AI chat and inference server on your machine. This beginner guide shows you how to run tiny AI models without cloud dependencies. https://www.kdnuggets.com/run-tiny-ai-models-locally-using-bitnet-a-beginner-guide #AIagent #AI #GenAI #AIInfrastructure #BitNet
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Microsoft BitNet: 100B Param 1-Bit model for local CPUs
https://github.com/microsoft/BitNet
#HackerNews #Microsoft #BitNet #100BParam #1BitModel #LocalCPUs #MachineLearning #AI
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Microsoft BitNet: 100B Param 1-Bit model for local CPUs
https://github.com/microsoft/BitNet
#HackerNews #Microsoft #BitNet #100BParam #1BitModel #LocalCPUs #MachineLearning #AI
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Microsoft BitNet: 100B Param 1-Bit model for local CPUs
https://github.com/microsoft/BitNet
#HackerNews #Microsoft #BitNet #100BParam #1BitModel #LocalCPUs #MachineLearning #AI
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Microsoft BitNet: 100B Param 1-Bit model for local CPUs
https://github.com/microsoft/BitNet
#HackerNews #Microsoft #BitNet #100BParam #1BitModel #LocalCPUs #MachineLearning #AI
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Microsoft BitNet: 100B Param 1-Bit model for local CPUs
https://github.com/microsoft/BitNet
#HackerNews #Microsoft #BitNet #100BParam #1BitModel #LocalCPUs #MachineLearning #AI
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🚀 Want to run BitNet-b1.58-2B-4T locally? The new setup_env.py script automates a CMake build of the C++ backend, turning Python-driven setup into a fast inference engine. Perfect for hobbyists and researchers eager to experiment with large AI models offline. Dive into the details and see how easy open-source deployment can be! #BitNet #Python #CMake #LocalInference
🔗 https://aidailypost.com/news/python-setupenvpy-builds-bitnet-b158-2b-4t-c-backend-via-cmake
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🚀 Want to run BitNet-b1.58-2B-4T locally? The new setup_env.py script automates a CMake build of the C++ backend, turning Python-driven setup into a fast inference engine. Perfect for hobbyists and researchers eager to experiment with large AI models offline. Dive into the details and see how easy open-source deployment can be! #BitNet #Python #CMake #LocalInference
🔗 https://aidailypost.com/news/python-setupenvpy-builds-bitnet-b158-2b-4t-c-backend-via-cmake
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🚀 Want to run BitNet-b1.58-2B-4T locally? The new setup_env.py script automates a CMake build of the C++ backend, turning Python-driven setup into a fast inference engine. Perfect for hobbyists and researchers eager to experiment with large AI models offline. Dive into the details and see how easy open-source deployment can be! #BitNet #Python #CMake #LocalInference
🔗 https://aidailypost.com/news/python-setupenvpy-builds-bitnet-b158-2b-4t-c-backend-via-cmake
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Tạo động cơ LLM 1.58-bit chạy 117 token/giây trên 1 nhân CPU với Rust và AVX-512, nhưng bị lỗi ở lớp Activation khiến đầu ra luôn là <unk>. Cần hỗ trợ về: (1) Weight tying trong BitNet – thiếu hệ số tỉ lệ? (2) Cách scale tích lũy nguyên từ VPOPCNTDQ trước khi đưa vào RMSNorm/SiLU. Dự án mã nguồn mở, zero-copy, không heap allocation. #Rust #AVX512 #LLM #MachineLearning #AI #R3Engine #BitNet #LocalAI #HPC #Inference #trítuệnhân tạo #môhìnhtonngẫu #xửlýsongsong #tinhoccao
https://www.reddit.
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Chúng ta đang chuyển từ thời đại MatMul sang “AI cộng dồn” với BitNet (trọng số ternary), L‑Mul (thêm thay cho nhân) và mHC (đảm bảo ổn định quy mô). Nếu chạy mô hình 70B+ chỉ dùng 1/100 năng lượng, GPU hiện tại sẽ trở thành lạc hậu, cần ASIC chuyên cộng. Các bạn có nghĩ nên dừng mua GPU và tập trung vào kiến trúc cộng không? #AI #AdditiveAI #BitNet #L_Mul #mHC #CôngNghệ #TríTuệNhânTạo
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Episódio 166 – 30 anos de Internet comercial no Brasil – Parte A
https://retropolis.com.br/2025/08/06/episodio-166-parte-a/
#Podcast #3270 #Alternex #ARPA #ARPANET #ASCIIArt #BITNET #BobKhan #CETEL #CGIBr #ControlData #DARPA #DEC #Embratel #enlace #FakeNews #FAPESP #Fermilab #GuerraFria #GuiaDaInternetBr #IBASE #IBM #internet #JosephLickner #Kremvax #LinhaCruzada #LNCC #Londres #MIT #modem #MTP #NCP #NICBr #PDP #rede #RedeRio #Registrobr #retrocomputing #retrogaming #Retrpolis #revista #RN
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Episódio 166 – 30 anos de Internet comercial no Brasil – Parte A
https://retropolis.com.br/2025/08/06/episodio-166-parte-a/
#Podcast #3270 #Alternex #ARPA #ARPANET #ASCIIArt #BITNET #BobKhan #CETEL #CGIBr #ControlData #DARPA #DEC #Embratel #enlace #FakeNews #FAPESP #Fermilab #GuerraFria #GuiaDaInternetBr #IBASE #IBM #internet #JosephLickner #Kremvax #LinhaCruzada #LNCC #Londres #MIT #modem #MTP #NCP #NICBr #PDP #rede #RedeRio #Registrobr #retrocomputing #retrogaming #Retrpolis #revista #RN
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Episódio 166 – 30 anos de Internet comercial no Brasil – Parte A
https://retropolis.com.br/2025/08/06/episodio-166-parte-a/
#Podcast #3270 #Alternex #ARPA #ARPANET #ASCIIArt #BITNET #BobKhan #CETEL #CGIBr #ControlData #DARPA #DEC #Embratel #enlace #FakeNews #FAPESP #Fermilab #GuerraFria #GuiaDaInternetBr #IBASE #IBM #internet #JosephLickner #Kremvax #LinhaCruzada #LNCC #Londres #MIT #modem #MTP #NCP #NICBr #PDP #rede #RedeRio #Registrobr #retrocomputing #retrogaming #Retrpolis #revista #RN
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Episódio 166 – 30 anos de Internet comercial no Brasil – Parte A
https://retropolis.com.br/2025/08/06/episodio-166-parte-a/
#Podcast #3270 #Alternex #ARPA #ARPANET #ASCIIArt #BITNET #BobKhan #CETEL #CGIBr #ControlData #DARPA #DEC #Embratel #enlace #FakeNews #FAPESP #Fermilab #GuerraFria #GuiaDaInternetBr #IBASE #IBM #internet #JosephLickner #Kremvax #LinhaCruzada #LNCC #Londres #MIT #modem #MTP #NCP #NICBr #PDP #rede #RedeRio #Registrobr #retrocomputing #retrogaming #Retrpolis #revista #RN
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Episódio 166 – 30 anos de Internet comercial no Brasil – Parte A
https://retropolis.com.br/2025/08/06/episodio-166-parte-a/
#Podcast #3270 #Alternex #ARPA #ARPANET #ASCIIArt #BITNET #BobKhan #CETEL #CGIBr #ControlData #DARPA #DEC #Embratel #enlace #FakeNews #FAPESP #Fermilab #GuerraFria #GuiaDaInternetBr #IBASE #IBM #internet #JosephLickner #Kremvax #LinhaCruzada #LNCC #Londres #MIT #modem #MTP #NCP #NICBr #PDP #rede #RedeRio #Registrobr #retrocomputing #retrogaming #Retrpolis #revista #RN
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#LLM on a #Pentium2 with 128MB of ram? Yes. Up to 15M parameters, using #bitnet architecture, which uses ternary weights (-1, 0, 1) to reduce computational complexity.
#AI #retro #retrocomputing #LLM #llama
From: https://mastodon.social/@mindsConnected/114727256228518845 -
#LLM on a #Pentium2 with 128MB of ram? Yes. Up to 15M parameters, using #bitnet architecture, which uses ternary weights (-1, 0, 1) to reduce computational complexity.
#AI #retro #retrocomputing #LLM #llama
From: https://mastodon.social/@mindsConnected/114727256228518845 -
#LLM on a #Pentium2 with 128MB of ram? Yes. Up to 15M parameters, using #bitnet architecture, which uses ternary weights (-1, 0, 1) to reduce computational complexity.
#AI #retro #retrocomputing #LLM #llama
From: https://mastodon.social/@mindsConnected/114727256228518845 -
#LLM on a #Pentium2 with 128MB of ram? Yes. Up to 15M parameters, using #bitnet architecture, which uses ternary weights (-1, 0, 1) to reduce computational complexity.
#AI #retro #retrocomputing #LLM #llama
From: https://mastodon.social/@mindsConnected/114727256228518845 -
Weird thing is that I am on a martial arts mailing list (originally created to mock the newbie rec.martial-arts poseurs) that I have been on since 1987 and I am by far the youngest member of the group. I have no idea why they invited me, weird old croaks probably just wanted a youngster perspective. Everyone on there is still alive and kicking though - not very high kicking, but still!
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Weird thing is that I am on a martial arts mailing list (originally created to mock the newbie rec.martial-arts poseurs) that I have been on since 1987 and I am by far the youngest member of the group. I have no idea why they invited me, weird old croaks probably just wanted a youngster perspective. Everyone on there is still alive and kicking though - not very high kicking, but still!
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Weird thing is that I am on a martial arts mailing list (originally created to mock the newbie rec.martial-arts poseurs) that I have been on since 1987 and I am by far the youngest member of the group. I have no idea why they invited me, weird old croaks probably just wanted a youngster perspective. Everyone on there is still alive and kicking though - not very high kicking, but still!
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Weird thing is that I am on a martial arts mailing list (originally created to mock the newbie rec.martial-arts poseurs) that I have been on since 1987 and I am by far the youngest member of the group. I have no idea why they invited me, weird old croaks probably just wanted a youngster perspective. Everyone on there is still alive and kicking though - not very high kicking, but still!
-
Weird thing is that I am on a martial arts mailing list (originally created to mock the newbie rec.martial-arts poseurs) that I have been on since 1987 and I am by far the youngest member of the group. I have no idea why they invited me, weird old croaks probably just wanted a youngster perspective. Everyone on there is still alive and kicking though - not very high kicking, but still!
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🔬🤯 Modele 1-bitowe to rewolucja w AI! Wagi sieci neuronowej zapisujemy tylko 1 bitem – zamiast 32 czy 16. To nawet 16x mniejszy rozmiar i ogromne oszczędności energii, przy zachowaniu jakości klasycznych LLM. Przyszłość AI jest lekka! 🚀#AI #LLM #quantization #BitNet
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🔬🤯 Modele 1-bitowe to rewolucja w AI! Wagi sieci neuronowej zapisujemy tylko 1 bitem – zamiast 32 czy 16. To nawet 16x mniejszy rozmiar i ogromne oszczędności energii, przy zachowaniu jakości klasycznych LLM. Przyszłość AI jest lekka! 🚀#AI #LLM #quantization #BitNet
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🔬🤯 Modele 1-bitowe to rewolucja w AI! Wagi sieci neuronowej zapisujemy tylko 1 bitem – zamiast 32 czy 16. To nawet 16x mniejszy rozmiar i ogromne oszczędności energii, przy zachowaniu jakości klasycznych LLM. Przyszłość AI jest lekka! 🚀#AI #LLM #quantization #BitNet
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🔬🤯 Modele 1-bitowe to rewolucja w AI! Wagi sieci neuronowej zapisujemy tylko 1 bitem – zamiast 32 czy 16. To nawet 16x mniejszy rozmiar i ogromne oszczędności energii, przy zachowaniu jakości klasycznych LLM. Przyszłość AI jest lekka! 🚀#AI #LLM #quantization #BitNet
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#Microsoft has introduced #BitNet b1.58 2B4T, the largest-scale 1-bit #AI model to date with 2 billion parameters and the ability to run efficiently on #CPU - It's openly available under an MIT license https://huggingface.co/microsoft/bitnet-b1.58-2B-4T
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#Microsoft has introduced #BitNet b1.58 2B4T, the largest-scale 1-bit #AI model to date with 2 billion parameters and the ability to run efficiently on #CPU - It's openly available under an MIT license https://huggingface.co/microsoft/bitnet-b1.58-2B-4T
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#Microsoft has introduced #BitNet b1.58 2B4T, the largest-scale 1-bit #AI model to date with 2 billion parameters and the ability to run efficiently on #CPU - It's openly available under an MIT license https://huggingface.co/microsoft/bitnet-b1.58-2B-4T
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#Microsoft has introduced #BitNet b1.58 2B4T, the largest-scale 1-bit #AI model to date with 2 billion parameters and the ability to run efficiently on #CPU - It's openly available under an MIT license https://huggingface.co/microsoft/bitnet-b1.58-2B-4T
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#Microsoft has introduced #BitNet b1.58 2B4T, the largest-scale 1-bit #AI model to date with 2 billion parameters and the ability to run efficiently on #CPU - It's openly available under an MIT license https://huggingface.co/microsoft/bitnet-b1.58-2B-4T
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Microsoft Releases BitNet b1.58 2B4T, a 1.58-Bit AI Model That Runs on Standard CPUs
#AI #Microsoft #LLMs #BitNet #OpenSource #MachineLearning #CPU #DeepLearning #1bitLLM #GenAI
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Microsoft Releases BitNet b1.58 2B4T, a 1.58-Bit AI Model That Runs on Standard CPUs
#AI #Microsoft #LLMs #BitNet #OpenSource #MachineLearning #CPU #DeepLearning #1bitLLM #GenAI
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Microsoft Releases BitNet b1.58 2B4T, a 1.58-Bit AI Model That Runs on Standard CPUs
#AI #Microsoft #LLMs #BitNet #OpenSource #MachineLearning #CPU #DeepLearning #1bitLLM #GenAI
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Microsoft Releases BitNet b1.58 2B4T, a 1.58-Bit AI Model That Runs on Standard CPUs
#AI #Microsoft #LLMs #BitNet #OpenSource #MachineLearning #CPU #DeepLearning #1bitLLM #GenAI
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🎉🎊 Behold, the groundbreaking 587th iteration of #BitNet, where #buzzwords meet their ultimate destiny: "Technical Report"! A riveting tale of acronyms, citations, and a plea for #donations, all while you desperately try to figure out if those numbers actually mean anything 📊🤯. Remember, it's not a real tech report without a job ad and some grateful acknowledgments for funding! 💰👏
https://arxiv.org/abs/2504.12285 #TechnicalReport #TechNews #HackerNews #ngated -
🎉🎊 Behold, the groundbreaking 587th iteration of #BitNet, where #buzzwords meet their ultimate destiny: "Technical Report"! A riveting tale of acronyms, citations, and a plea for #donations, all while you desperately try to figure out if those numbers actually mean anything 📊🤯. Remember, it's not a real tech report without a job ad and some grateful acknowledgments for funding! 💰👏
https://arxiv.org/abs/2504.12285 #TechnicalReport #TechNews #HackerNews #ngated -
🎉🎊 Behold, the groundbreaking 587th iteration of #BitNet, where #buzzwords meet their ultimate destiny: "Technical Report"! A riveting tale of acronyms, citations, and a plea for #donations, all while you desperately try to figure out if those numbers actually mean anything 📊🤯. Remember, it's not a real tech report without a job ad and some grateful acknowledgments for funding! 💰👏
https://arxiv.org/abs/2504.12285 #TechnicalReport #TechNews #HackerNews #ngated -
🎉🎊 Behold, the groundbreaking 587th iteration of #BitNet, where #buzzwords meet their ultimate destiny: "Technical Report"! A riveting tale of acronyms, citations, and a plea for #donations, all while you desperately try to figure out if those numbers actually mean anything 📊🤯. Remember, it's not a real tech report without a job ad and some grateful acknowledgments for funding! 💰👏
https://arxiv.org/abs/2504.12285 #TechnicalReport #TechNews #HackerNews #ngated -
BitNet b1.58 2B4T Technical Report
https://arxiv.org/abs/2504.12285
#HackerNews #BitNet #b1.58 #2B4T #Technical #Report #arxiv #research #machinelearning #AI
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BitNet b1.58 2B4T Technical Report
https://arxiv.org/abs/2504.12285
#HackerNews #BitNet #b1.58 #2B4T #Technical #Report #arxiv #research #machinelearning #AI
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BitNet b1.58 2B4T Technical Report
https://arxiv.org/abs/2504.12285
#HackerNews #BitNet #b1.58 #2B4T #Technical #Report #arxiv #research #machinelearning #AI
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BitNet b1.58 2B4T Technical Report
https://arxiv.org/abs/2504.12285
#HackerNews #BitNet #b1.58 #2B4T #Technical #Report #arxiv #research #machinelearning #AI
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https://www.europesays.com/uk/26828/ Microsoft researchers say they’ve developed a hyper-efficient AI model that can run on CPUs #AI #ArtificialIntelligence #bitnet #Microsoft #Technology #UK #UnitedKingdom
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