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Someone got DeepSeek-R1-0528-Qwen3-8B running on an iPhone 16 Pro using MLX. It runs but takes ages to respond, and the phone gets hot fast. 8B models on phones aren't sci-fi anymore. via u/adrgrondin on r/LocalLLaMA

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82,742 просмотров • 1 год назад •via X (Twitter)

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Apple wasn’t kidding, the iPhone 17 Pro is really built for running LLMs Here’s LFM2 8B A1B by running on-device with MLX in Locally AI - Local AI Chat, the iPhone runs the 8B model with zero struggle Thanks Prince Canuma for the port to MLX, it made the MLX Swift port possible

Apple wasn’t kidding, the iPhone 17 Pro is really built for running LLMs Here’s LFM2 8B A1B by running on-device with MLX in Locally AI - Local AI Chat, the iPhone runs the 8B model with zero struggle Thanks Prince Canuma for the port to MLX, it made the MLX Swift port possible

Adrien Grondin

493,561 просмотров • 10 месяцев назад

The new PrismML’s Bonsai 27B model running on iPhone 17 Pro Bonsai 27B is the first 27B-class model to run on a phone and it uses less than 5GB of memory Pushing the limits on what can run a phone

The new PrismML’s Bonsai 27B model running on iPhone 17 Pro Bonsai 27B is the first 27B-class model to run on a phone and it uses less than 5GB of memory Pushing the limits on what can run a phone

Adrien Grondin

67,095 просмотров • 1 месяц назад

Introducing MLX-Swift-TS An SDK for running time series foundation models fully on-device on Apple Silicon. When I joined Datadog, Inc. , I was introduced to Toto, our time series foundation model, and got excited about zero-shot forecasting across different domains. While building a health copilot app, I realized there wasn’t a simple way to run models like these locally on device. So I built one. MLX-Swift-TS exposes a common TimeSeriesForecaster interface for loading and running multiple time series architectures directly in Swift using MLX. No server required. The attached video shows on-device forecasting running inside a native Swift app. Huge thanks to Awni Hannun and the MLX team for building MLX and its Swift API, Prince Canuma for inspiration on MLX SDK patterns, and Ameet Talwalkar and the Datadog team for Toto.

Introducing MLX-Swift-TS An SDK for running time series foundation models fully on-device on Apple Silicon. When I joined Datadog, Inc. , I was introduced to Toto, our time series foundation model, and got excited about zero-shot forecasting across different domains. While building a health copilot app, I realized there wasn’t a simple way to run models like these locally on device. So I built one. MLX-Swift-TS exposes a common TimeSeriesForecaster interface for loading and running multiple time series architectures directly in Swift using MLX. No server required. The attached video shows on-device forecasting running inside a native Swift app. Huge thanks to Awni Hannun and the MLX team for building MLX and its Swift API, Prince Canuma for inspiration on MLX SDK patterns, and Ameet Talwalkar and the Datadog team for Toto.

Kunal Batra

12,585 просмотров • 5 месяцев назад

AutoGPTs are all the rage, but everyone’s running it on their MacBooks. Well, I got Toran Bruce Richards’s AutoGPT working on my iPhone using Replit ⠕! I can now summon AI agents on-the-go! Here’s how to get it up and running, without writing a line of code, in under 60 seconds!

AutoGPTs are all the rage, but everyone’s running it on their MacBooks. Well, I got Toran Bruce Richards’s AutoGPT working on my iPhone using Replit ⠕! I can now summon AI agents on-the-go! Here’s how to get it up and running, without writing a line of code, in under 60 seconds!

Nate Chan

363,603 просмотров • 3 лет назад

Apple iPhone 16 vs Pixel 9: Which one should you buy? The iPhone 16 is more of an iterative upgrade over its predecessor, but the Pixel 9 brings several notable upgrades, especially in the camera, design and chipset. While the Tensor G4 may not be as fast as the iPhone 16’s A18 chipset, it no longer heats up and is pretty fast when it comes to multitasking and completing AI-powered tasks. If you are already a part of the Apple ecosystem and have the iPhone 14 or an older device, the iPhone 16 might make sense. On the other hand, the Pixel 9 with its smart AI features, solid design and capable cameras might appeal to to those who want a phone that will get software updates for years to come and want to enjoy the clean user interface stock Android has to offer.

Apple iPhone 16 vs Pixel 9: Which one should you buy? The iPhone 16 is more of an iterative upgrade over its predecessor, but the Pixel 9 brings several notable upgrades, especially in the camera, design and chipset. While the Tensor G4 may not be as fast as the iPhone 16’s A18 chipset, it no longer heats up and is pretty fast when it comes to multitasking and completing AI-powered tasks. If you are already a part of the Apple ecosystem and have the iPhone 14 or an older device, the iPhone 16 might make sense. On the other hand, the Pixel 9 with its smart AI features, solid design and capable cameras might appeal to to those who want a phone that will get software updates for years to come and want to enjoy the clean user interface stock Android has to offer.

cutie 🥰

23,995 просмотров • 1 год назад

DeepSeek R1 is *the* best model available right now. It's at the level of o1, but you can use it for free, and it's much faster. A huge leap forward that nobody saw coming. No wonder so many people are throwing tantrums online trying to discredit the Chinese students who built this. You can use DeepSeek in Visual Studio Code right now: 1. Install the Qodo Gen AI extension 2. Select DeepSeek R1 from their list of models The Qodo team is hosting DeepSeek on their servers, so none of your data will go to China. I've been building a Tetris game using DeepSeek, and this is the most impressive model I've seen so far.

DeepSeek R1 is the best model available right now. It's at the level of o1, but you can use it for free, and it's much faster. A huge leap forward that nobody saw coming. No wonder so many people are throwing tantrums online trying to discredit the Chinese students who built this. You can use DeepSeek in Visual Studio Code right now: 1. Install the Qodo Gen AI extension 2. Select DeepSeek R1 from their list of models The Qodo team is hosting DeepSeek on their servers, so none of your data will go to China. I've been building a Tetris game using DeepSeek, and this is the most impressive model I've seen so far.

Santiago

1,224,264 просмотров • 1 год назад

SOMEONE BENCHMARKED 10 MODELS ON STACKING BLOCKS IN A PHYSICS SIM its basically jenga in reverse every block you place could topple the whole tower, and going higher always means more risk > opus 5 hit 11.07m using only 15 blocks, then ended its turn to lock in the score instead of gambling for one more > gpt got 30 blocks in and only reached 7.92m, kept pushing and the top of the tower buckled > deepseek went for maximum risk on every single placement, all 30 blocks, and still only got to 8.18m > kimi used all 30 blocks and finished at 4.88m > the top 3 were all claude models so the winner used half the blocks and still built the tallest thing on the board theres a genius constraint too, you can know exactly where a block will land, or exactly how fast its moving, but never both everyones asking for a jenga version next where the models sabotage each other

SOMEONE BENCHMARKED 10 MODELS ON STACKING BLOCKS IN A PHYSICS SIM its basically jenga in reverse every block you place could topple the whole tower, and going higher always means more risk > opus 5 hit 11.07m using only 15 blocks, then ended its turn to lock in the score instead of gambling for one more > gpt got 30 blocks in and only reached 7.92m, kept pushing and the top of the tower buckled > deepseek went for maximum risk on every single placement, all 30 blocks, and still only got to 8.18m > kimi used all 30 blocks and finished at 4.88m > the top 3 were all claude models so the winner used half the blocks and still built the tallest thing on the board theres a genius constraint too, you can know exactly where a block will land, or exactly how fast its moving, but never both everyones asking for a jenga version next where the models sabotage each other

Om Patel

16,272 просмотров • 12 дней назад

chat even without wi-fi and mobile data it's called protestchat it never asks for a network (repo in replies) e.g. Delhi rolled portable jammers into a protest on july 20 and cut mobile data with it so this dev built a fix 2.4 ghz stays wide open the entire time every other messenger dies the second the internet does BUT this one no > phones hand msgs to each other over bluetooth le > zero routing, every phone carries every unexpired envelope and offers it to whoever it meets > the recipient is just whoever can decrypt it > walk out of the jammed zone and your phone delivers the queue for people still stuck inside > 6 hour expiry, panic wipe, fresh key per message > 72 tests on the crypto and mesh layer > MIT and no account anywhere so if u dont have an internet or gov jammed it just use this repo to text someone how it works:

chat even without wi-fi and mobile data it's called protestchat it never asks for a network (repo in replies) e.g. Delhi rolled portable jammers into a protest on july 20 and cut mobile data with it so this dev built a fix 2.4 ghz stays wide open the entire time every other messenger dies the second the internet does BUT this one no > phones hand msgs to each other over bluetooth le > zero routing, every phone carries every unexpired envelope and offers it to whoever it meets > the recipient is just whoever can decrypt it > walk out of the jammed zone and your phone delivers the queue for people still stuck inside > 6 hour expiry, panic wipe, fresh key per message > 72 tests on the crypto and mesh layer > MIT and no account anywhere so if u dont have an internet or gov jammed it just use this repo to text someone how it works:

savip

32,690 просмотров • 23 дней назад

I loved driving on the Mumbai-Delhi Expressway. It has good roads, and the way they built stoppages, trauma centres, and toilets on the sides makes you feel like you are in some other country. Very nicely done. But the undulating roads made me sad. On such roads, you cannot keep a cup of coffee without spilling it. It was a huge disappointment because you know they won't be able to fix it anytime soon as they have already invested lakhs of crores in the construction and the final product feels like someone installed android OS in an iPhone pro max 2TB

I loved driving on the Mumbai-Delhi Expressway. It has good roads, and the way they built stoppages, trauma centres, and toilets on the sides makes you feel like you are in some other country. Very nicely done. But the undulating roads made me sad. On such roads, you cannot keep a cup of coffee without spilling it. It was a huge disappointment because you know they won't be able to fix it anytime soon as they have already invested lakhs of crores in the construction and the final product feels like someone installed android OS in an iPhone pro max 2TB

Chirag Barjatya

320,116 просмотров • 1 год назад

someone just open-sourced their own neuro-sama. and it might be better than the original. it's called airi. a fully autonomous ai companion that talks to you in real time, plays minecraft and factorio with you, chats on discord and telegram, and has a live2d/vrm avatar body. runs entirely on your machine. → real-time voice conversations, speech recognition → animated avatar with auto-blink, eye tracking, idle animations → persistent memory across sessions → local inference via webgpu, no api calls needed supports 30+ llm providers, openai, claude, gemini, deepseek, ollama, groq, mistral, xai, local models. swap the brain with a config change. runs on native cuda and apple metal for real gpu acceleration. 17.5k stars. 101 contributors. 46 releases. 100% free. open source.

Oliver Prompts

284,778 просмотров • 23 дней назад

i wish this wasn’t real, but bro!! this was my experience just this morning, this was someone i took on a date last week of december, we were meant to meet up again, but she had to leave for service(in the east) on her arrival we couldn’t talk, i texted her on snap(see first media) but she didn’t reply, two days later i texted her on whatsapp and the message didn’t tick twice, it was then i realized something is wrong, i had to call her, she explained to that her phone got bad on her arrival, she asked me for financial assistance, i sent her the money to fix the phone, days later she didn’t mention anything about the phone, then i had to ask her during one of our conversation, it was then she told me that “it’s a panel issue, it cant be fixed anymore” i sympathized with her then continued our conversation, days later she asked for another money for the same phone fixing, i explained my current situation to her, i told her about the expenses on me and i can’t spend anymore money out of budget, she grumbled and sighed, i had to apologize to her lol, just two days back i noticed she reposted a post on her ticktock and the message on whatsapp finally ticked twice, i asked her on call if she has fixed the phone, she said no, saying that the money i sent won’t be enough since it’s panel issue, i said okay,( though i was suspicious but i didn’t make a big deal out of it) lo and behold i came across her tiktok page with a new post(content) i asked her about the phone and this was her response(last media), i deleted her number and blocked her.💔💔💔

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i wish this wasn’t real, but bro!! this was my experience just this morning, this was someone i took on a date last week of december, we were meant to meet up again, but she had to leave for service(in the east) on her arrival we couldn’t talk, i texted her on snap(see first media) but she didn’t reply, two days later i texted her on whatsapp and the message didn’t tick twice, it was then i realized something is wrong, i had to call her, she explained to that her phone got bad on her arrival, she asked me for financial assistance, i sent her the money to fix the phone, days later she didn’t mention anything about the phone, then i had to ask her during one of our conversation, it was then she told me that “it’s a panel issue, it cant be fixed anymore” i sympathized with her then continued our conversation, days later she asked for another money for the same phone fixing, i explained my current situation to her, i told her about the expenses on me and i can’t spend anymore money out of budget, she grumbled and sighed, i had to apologize to her lol, just two days back i noticed she reposted a post on her ticktock and the message on whatsapp finally ticked twice, i asked her on call if she has fixed the phone, she said no, saying that the money i sent won’t be enough since it’s panel issue, i said okay,( though i was suspicious but i didn’t make a big deal out of it) lo and behold i came across her tiktok page with a new post(content) i asked her about the phone and this was her response(last media), i deleted her number and blocked her.💔💔💔

Ishaaka

706,530 просмотров • 7 месяцев назад

Why is my Elgato game capture lagging in OBS? I've dealt with this for years. It's infuriating and I just need help fixing it. I've changed nearly EVERY SINGLE SETTING. 🖥️ PC • Threadripper 9970x • 5090 • 256gb DDR5 ECC RAM 📹 Capture Card • 4K60 Mk2 • Tried 4K Pro / 4K X ⬇️ More I've tried to fix this on and off for literal years. I've changed numerous things, and nothing seems to solve it. OBS is running in Admin, high priority, and I've even tried setting it to "Realtime" in the Task Manager. I'm outputting my Gaming PC to my monitor via DP, but then use HDMI to clone to the capture card. This clearly isn't an issue as the video is showing up fine in the 4K Capture Utility. I've tried using the 4K X and even the 4K Pro, but it just didn't fix the problem. Nor did completely resetting OBS. Someone PLEASE HELP ME, I'm losing my damn mind.

Why is my Elgato game capture lagging in OBS? I've dealt with this for years. It's infuriating and I just need help fixing it. I've changed nearly EVERY SINGLE SETTING. 🖥️ PC • Threadripper 9970x • 5090 • 256gb DDR5 ECC RAM 📹 Capture Card • 4K60 Mk2 • Tried 4K Pro / 4K X ⬇️ More I've tried to fix this on and off for literal years. I've changed numerous things, and nothing seems to solve it. OBS is running in Admin, high priority, and I've even tried setting it to "Realtime" in the Task Manager. I'm outputting my Gaming PC to my monitor via DP, but then use HDMI to clone to the capture card. This clearly isn't an issue as the video is showing up fine in the 4K Capture Utility. I've tried using the 4K X and even the 4K Pro, but it just didn't fix the problem. Nor did completely resetting OBS. Someone PLEASE HELP ME, I'm losing my damn mind.

Expel

120,593 просмотров • 14 дней назад

Big win for open-source LLMs! DeepSeek V4 Pro holds the top open-weights score on SWE-bench Verified, in the GPT-5.5 range. GLM 5.2 leads the open-weight intelligence index and sits near the closed frontier on long-horizon coding. But this leaderboard number is a weak proxy for real performance. It comes from one task set, run through one harness, served at one precision. The same weights can even score differently across providers, since many hosts quantize activations to fp8 and drift the model off its reference weights. Real performance is determined based on whether a model can read a repo, make coordinated edits across files, run the tests, and recover when one breaks. By that measure, the top open models hold up, but only inside the right harness. The teams that actually put DeepSeek V4 into production pipelines as a frontier substitute got there through the harness they built around the model, not by picking a stronger model. If you want to see this in practice, Cline (64k+ stars) has actually built that harness around open models, tuned so they run at production quality. And it's tuned so that these LLMs can run at production quality, with plan and act modes, checkpoints, and terminal feedback. ClinePass is the new access layer on top of it. It runs a curated set of those models inside Cline, narrowed to the ones tested for coding-agent use, with 2 to 5x the standard rate limits and no separate provider accounts, keys, or billing to track. The video below shows the setup, and I worked with the team to put this together. It runs alongside custom keys and local models as well, not in place of them.

Big win for open-source LLMs! DeepSeek V4 Pro holds the top open-weights score on SWE-bench Verified, in the GPT-5.5 range. GLM 5.2 leads the open-weight intelligence index and sits near the closed frontier on long-horizon coding. But this leaderboard number is a weak proxy for real performance. It comes from one task set, run through one harness, served at one precision. The same weights can even score differently across providers, since many hosts quantize activations to fp8 and drift the model off its reference weights. Real performance is determined based on whether a model can read a repo, make coordinated edits across files, run the tests, and recover when one breaks. By that measure, the top open models hold up, but only inside the right harness. The teams that actually put DeepSeek V4 into production pipelines as a frontier substitute got there through the harness they built around the model, not by picking a stronger model. If you want to see this in practice, Cline (64k+ stars) has actually built that harness around open models, tuned so they run at production quality. And it's tuned so that these LLMs can run at production quality, with plan and act modes, checkpoints, and terminal feedback. ClinePass is the new access layer on top of it. It runs a curated set of those models inside Cline, narrowed to the ones tested for coding-agent use, with 2 to 5x the standard rate limits and no separate provider accounts, keys, or billing to track. The video below shows the setup, and I worked with the team to put this together. It runs alongside custom keys and local models as well, not in place of them.

Avi Chawla

44,124 просмотров • 1 месяц назад

Seokjin is born to be on stage. He shared the same thought during Run Seokjin tour. He truly values his time with Army🥹 🐹As we r doing our best (in rain), can our dear Army also put down the cellphones and just go all out &have an absolutely crazy fun time together today? Ok? If u pick up ur phone, it’s cheating! Got it? #JIN #방탄소년단진

Seokjin is born to be on stage. He shared the same thought during Run Seokjin tour. He truly values his time with Army🥹 🐹As we r doing our best (in rain), can our dear Army also put down the cellphones and just go all out &have an absolutely crazy fun time together today? Ok? If u pick up ur phone, it’s cheating! Got it? #JIN #방탄소년단진

Jiniya지니야_RunSeokjin

17,185 просмотров • 4 месяцев назад

Microsoft's new Outlook takes more than 10 seconds to open an email via notifications, while Outlook Classic opens instantly on Windows 11! The funniest part? If I ignore the notification, open Outlook manually, find the email myself, and click it, I can finish faster than the notification flow. It's all because Outlook for Windows is literally Microsoft Edge running Outlook .com in a browser window. New Outlook runs through WebView2 with around 10 separate processes: GPU process, service worker, utility processes, manager, and more. It uses roughly 490MB to 636MB RAM while idle, compared to Outlook Classic sitting around 117MB to 148MB. CPU usage is also worse: around 4% idle on new Outlook versus under 1% on Classic in my testing. Microsoft shut down Mail and Calendar, keeps pushing enterprises toward this web wrapper, and still wants people to believe it is the future of email on Windows. SHAME!

Microsoft's new Outlook takes more than 10 seconds to open an email via notifications, while Outlook Classic opens instantly on Windows 11! The funniest part? If I ignore the notification, open Outlook manually, find the email myself, and click it, I can finish faster than the notification flow. It's all because Outlook for Windows is literally Microsoft Edge running Outlook .com in a browser window. New Outlook runs through WebView2 with around 10 separate processes: GPU process, service worker, utility processes, manager, and more. It uses roughly 490MB to 636MB RAM while idle, compared to Outlook Classic sitting around 117MB to 148MB. CPU usage is also worse: around 4% idle on new Outlook versus under 1% on Classic in my testing. Microsoft shut down Mail and Calendar, keeps pushing enterprises toward this web wrapper, and still wants people to believe it is the future of email on Windows. SHAME!

Windows Latest

101,801 просмотров • 2 месяцев назад

Holy shit... Microsoft open sourced an inference framework that runs a 100B parameter LLM on a single CPU. It's called BitNet. And it does what was supposed to be impossible. No GPU. No cloud. No $10K hardware setup. Just your laptop running a 100-billion parameter model at human reading speed. Here's how it works: Every other LLM stores weights in 32-bit or 16-bit floats. BitNet uses 1.58 bits. Weights are ternary just -1, 0, or +1. That's it. No floats. No expensive matrix math. Pure integer operations your CPU was already built for. The result: - 100B model runs on a single CPU at 5-7 tokens/second - 2.37x to 6.17x faster than llama.cpp on x86 - 82% lower energy consumption on x86 CPUs - 1.37x to 5.07x speedup on ARM (your MacBook) - Memory drops by 16-32x vs full-precision models The wildest part: Accuracy barely moves. BitNet b1.58 2B4T their flagship model was trained on 4 trillion tokens and benchmarks competitively against full-precision models of the same size. The quantization isn't destroying quality. It's just removing the bloat. What this actually means: - Run AI completely offline. Your data never leaves your machine - Deploy LLMs on phones, IoT devices, edge hardware - No more cloud API bills for inference - AI in regions with no reliable internet The model supports ARM and x86. Works on your MacBook, your Linux box, your Windows machine. 27.4K GitHub stars. 2.2K forks. Built by Microsoft Research. 100% Open Source. MIT License.

Holy shit... Microsoft open sourced an inference framework that runs a 100B parameter LLM on a single CPU. It's called BitNet. And it does what was supposed to be impossible. No GPU. No cloud. No $10K hardware setup. Just your laptop running a 100-billion parameter model at human reading speed. Here's how it works: Every other LLM stores weights in 32-bit or 16-bit floats. BitNet uses 1.58 bits. Weights are ternary just -1, 0, or +1. That's it. No floats. No expensive matrix math. Pure integer operations your CPU was already built for. The result: - 100B model runs on a single CPU at 5-7 tokens/second - 2.37x to 6.17x faster than llama.cpp on x86 - 82% lower energy consumption on x86 CPUs - 1.37x to 5.07x speedup on ARM (your MacBook) - Memory drops by 16-32x vs full-precision models The wildest part: Accuracy barely moves. BitNet b1.58 2B4T their flagship model was trained on 4 trillion tokens and benchmarks competitively against full-precision models of the same size. The quantization isn't destroying quality. It's just removing the bloat. What this actually means: - Run AI completely offline. Your data never leaves your machine - Deploy LLMs on phones, IoT devices, edge hardware - No more cloud API bills for inference - AI in regions with no reliable internet The model supports ARM and x86. Works on your MacBook, your Linux box, your Windows machine. 27.4K GitHub stars. 2.2K forks. Built by Microsoft Research. 100% Open Source. MIT License.

Guri Singh

2,180,357 просмотров • 5 месяцев назад

Flappy Bird w/ DeepSeek V4 Pro vs GLM 5.2 vs Fable 5 I ran a small experiment: same game, same prompt, three different models. Test setup was simple: /𝚍𝚎𝚜𝚒𝚐𝚗 in Command Code. The thing I cared about was not UI. UI is now relatively easy for models to imitate. I cared more about UX: whether the model understands the interaction, the flow, the hierarchy, the little product decisions that make something feel usable. 𝙲𝚘𝚜𝚝𝚜: 𝙳𝚎𝚎𝚙𝚂𝚎𝚎𝚔 𝚟𝟺 𝙿𝚛𝚘: $𝟶.𝟶𝟶𝟶𝟾 𝙶𝙻𝙼 𝟻.𝟸: $𝟶.𝟶𝟺𝟾 𝙵𝚊𝚋𝚕𝚎 𝟻: $𝟶.𝟺𝟸 The surprising result was that Fable 5 did not produce a meaningfully better UX. It was good, but not good enough to justify the pricing delta for this kind of design task. Open-source models are getting very interesting here. They are much cheaper, competitive on UI, and increasingly good enough on UX. The gap is closing fast.

Flappy Bird w/ DeepSeek V4 Pro vs GLM 5.2 vs Fable 5 I ran a small experiment: same game, same prompt, three different models. Test setup was simple: /𝚍𝚎𝚜𝚒𝚐𝚗 in Command Code. The thing I cared about was not UI. UI is now relatively easy for models to imitate. I cared more about UX: whether the model understands the interaction, the flow, the hierarchy, the little product decisions that make something feel usable. 𝙲𝚘𝚜𝚝𝚜: 𝙳𝚎𝚎𝚙𝚂𝚎𝚎𝚔 𝚟𝟺 𝙿𝚛𝚘: $𝟶.𝟶𝟶𝟶𝟾 𝙶𝙻𝙼 𝟻.𝟸: $𝟶.𝟶𝟺𝟾 𝙵𝚊𝚋𝚕𝚎 𝟻: $𝟶.𝟺𝟸 The surprising result was that Fable 5 did not produce a meaningfully better UX. It was good, but not good enough to justify the pricing delta for this kind of design task. Open-source models are getting very interesting here. They are much cheaper, competitive on UI, and increasingly good enough on UX. The gap is closing fast.

Ahmad Awais

26,918 просмотров • 1 месяц назад