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0xSero

@0xSero • 58,033 subscribers

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Codex nooooooo I can't close this popup

Codex nooooooo I can't close this popup

135,833 просмотров

What 4 concurrency on GLM sounds like. So gosh damn loud, open air frames are easier to build but so gosh darn loud

What 4 concurrency on GLM sounds like. So gosh damn loud, open air frames are easier to build but so gosh darn loud

11,809 просмотров

GLM-5.2-REAP-NVFP4 This experiment I calibrated the model on 30,000+ samples of my agent sessions, tweets, writing, and codebases. Pretty charming, every dataset produced something different.

GLM-5.2-REAP-NVFP4 This experiment I calibrated the model on 30,000+ samples of my agent sessions, tweets, writing, and codebases. Pretty charming, every dataset produced something different.

22,535 просмотров

The fact that a 284B parameter model is able to in a single 400K token session - ssh into my Homelab to find docs - ssh into lambda / prime intellect - rewrite reap to support the DS4 attention - download models & datasets - run tests to check it works

The fact that a 284B parameter model is able to in a single 400K token session - ssh into my Homelab to find docs - ssh into lambda / prime intellect - rewrite reap to support the DS4 attention - download models & datasets - run tests to check it works

22,762 просмотров

Asking Codex (GPU) to find and kill Codex (Cerebras)

Asking Codex (GPU) to find and kill Codex (Cerebras)

24,131 просмотров

Videos

Anya Rossi

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GLM-5.2 Nvidia NVFP4 No pruning, no quantising, exact same model card. 110 tok/s single stream. My friend is a genius, holy fudge. Here's the repo, he got full DS4-Flash on a 5090 + DDR5 at 38.5 tok/s This is a breakthrough.

GLM-5.2 Nvidia NVFP4 No pruning, no quantising, exact same model card. 110 tok/s single stream. My friend is a genius, holy fudge. Here's the repo, he got full DS4-Flash on a 5090 + DDR5 at 38.5 tok/s This is a breakthrough.

155,785 просмотров • 10 дней назад

GLM-5.2 on 4x 6000s in ZCode /goal build a nintendo ds emulator in C++, do not use a ready made emulator. Don't stop until you can run the Mario 64 DS rom.

GLM-5.2 on 4x 6000s in ZCode /goal build a nintendo ds emulator in C++, do not use a ready made emulator. Don't stop until you can run the Mario 64 DS rom.

38,993 просмотров • 12 дней назад

Kimi IS COOKING holy mackerel this is way better than anything I can get out of opus or GPT Has some bugs.. but looks soooo unique and well into my brand, for 1 shot I can't complain.

235,591 просмотров • 5 месяцев назад

Exo No more worrying about it. Best model best config best harness for your hardware based on local . ai benchmarks just: exo run

Exo No more worrying about it. Best model best config best harness for your hardware based on local . ai benchmarks just: exo run

43,386 просмотров • 1 месяц назад

. is continuing to grow and improve, it's gotten to a place where I'm very proud of it. Now to release it.

. is continuing to grow and improve, it's gotten to a place where I'm very proud of it. Now to release it.

11,221 просмотров • 7 дней назад

I promise this is the last pleometric video I drop on you.

I promise this is the last pleometric video I drop on you.

131,800 просмотров • 3 месяцев назад

Here's my conversation with Philip Kiely. A deep dive into inference engineering, his book his available online for free, and it's worth reading. Inference is becoming more important to people and organisations by the day, learning about the topic will prepare you well.

Here's my conversation with Philip Kiely. A deep dive into inference engineering, his book his available online for free, and it's worth reading. Inference is becoming more important to people and organisations by the day, learning about the topic will prepare you well.

24,290 просмотров • 18 дней назад

It's not a dream anymore, this is frontier at home. My next mission is to make this cheaper to run. Do you see the length of the session? Do you see the successful tool calls?

It's not a dream anymore, this is frontier at home. My next mission is to make this cheaper to run. Do you see the length of the session? Do you see the successful tool calls?

31,883 просмотров • 24 дней назад

If you're a frontend dev let me make your life easier: 1. Pay for mobbin. 2. Setup mobbin MCP 3. Model will be able to pull all designs off the screens 4. Basically tons of free Figma designs

If you're a frontend dev let me make your life easier: 1. Pay for mobbin. 2. Setup mobbin MCP 3. Model will be able to pull all designs off the screens 4. Basically tons of free Figma designs

73,323 просмотров • 2 месяцев назад

Holy moly, MiniMax-M2.7 is amazing, watch till the end.

Holy moly, MiniMax-M2.7 is amazing, watch till the end.

110,349 просмотров • 4 месяцев назад

GLM-5.1-478B-NVFP4 Running on: - 4x RTX Pro 6000 - Sglang - 370,000 max tokens (1.75x full context) - p10 27.7 | p90 45.6 tok/s decode (gen) - 1340 tok/s prefill I could get 2x decode if I limit to 64k context (100 tok/s) In this video it operates Figma (:

GLM-5.1-478B-NVFP4 Running on: - 4x RTX Pro 6000 - Sglang - 370,000 max tokens (1.75x full context) - p10 27.7 | p90 45.6 tok/s decode (gen) - 1340 tok/s prefill I could get 2x decode if I limit to 64k context (100 tok/s) In this video it operates Figma (:

74,772 просмотров • 3 месяцев назад

GLM-5.2 running under my desk, modifying GGUFs to enable MTP on the Spark. What a world we live in, where you can have a megamind running off electrons going really fast.

GLM-5.2 running under my desk, modifying GGUFs to enable MTP on the Spark. What a world we live in, where you can have a megamind running off electrons going really fast.

23,422 просмотров • 24 дней назад

Local AI can be so good, but you’d need about 12k USD to get it. Then it’s not so great Here’s a Q4 of Qwen3.5-262B-REAP Weights 131GB KVCache 50GB 256,000 context 350 tokens/s prefill warmup 4,000 tokens/s prefill cache 36 tokens/s generation Vision enabled REAP is good

Local AI can be so good, but you’d need about 12k USD to get it. Then it’s not so great Here’s a Q4 of Qwen3.5-262B-REAP Weights 131GB KVCache 50GB 256,000 context 350 tokens/s prefill warmup 4,000 tokens/s prefill cache 36 tokens/s generation Vision enabled REAP is good

87,959 просмотров • 3 месяцев назад

MiniMax-M3 running locally 100+ tok/s Good questions not often that models ask good questions.

MiniMax-M3 running locally 100+ tok/s Good questions not often that models ask good questions.

32,537 просмотров • 1 месяц назад

Finally, full precision MiniMax-M2.7 running at home. 100 tokens/s decode 5050 tokens/s prefill

Finally, full precision MiniMax-M2.7 running at home. 100 tokens/s decode 5050 tokens/s prefill

72,465 просмотров • 3 месяцев назад

OAI has to be prioritising low/no thinking GPT-5.5 inference, it's so fast. I think this is better than high thinking, so much less annoying, so much more token efficient.

OAI has to be prioritising low/no thinking GPT-5.5 inference, it's so fast. I think this is better than high thinking, so much less annoying, so much more token efficient.

65,255 просмотров • 2 месяцев назад

Guess who got GLM-5.2 at home? You can't deny I'm elite at inference.

Guess who got GLM-5.2 at home? You can't deny I'm elite at inference.

27,083 просмотров • 1 месяц назад

Let me save you hours of testing frontends. If you're ever working on a front-end, instead of writing tests, and adding puppeteer slop to your repo 1. Get an llm to write you with whatever needs to be tested 2. Copy that, go to browser 3. Open localhost with your selected app 4. Use Claude Chrome Extension or Parchi 5. Send it the prompt 6. QA engineering, there you go. Use models results and pass it back to your coding agent to fix whatever is flagged.

Let me save you hours of testing frontends. If you're ever working on a front-end, instead of writing tests, and adding puppeteer slop to your repo 1. Get an llm to write you with whatever needs to be tested 2. Copy that, go to browser 3. Open localhost with your selected app 4. Use Claude Chrome Extension or Parchi 5. Send it the prompt 6. QA engineering, there you go. Use models results and pass it back to your coding agent to fix whatever is flagged.

109,943 просмотров • 5 месяцев назад

I yapped about LLM Compression for 40 minutes, how much misinformation did i spread this time (,:

I yapped about LLM Compression for 40 minutes, how much misinformation did i spread this time (,:

35,181 просмотров • 1 месяц назад

I LOVE Deepseek-v4-flash, incredibly reliable and capable, logical. It's lacking in frontend but I have MiMo for that. I would recommend any company spending 100k+ a year on AI to purchase 8-10~ 6000s and have a few of the works to have them blind test these models for work.

I LOVE Deepseek-v4-flash, incredibly reliable and capable, logical. It's lacking in frontend but I have MiMo for that. I would recommend any company spending 100k+ a year on AI to purchase 8-10~ 6000s and have a few of the works to have them blind test these models for work.

51,035 просмотров • 2 месяцев назад