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made this game with GLM-5.2 (claude code) running on my 32x RTX 4090s

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26,104 görüntüleme • 1 ay önce •via X (Twitter)

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running Claude Code w/ local models on my own GPUs at home > vLLM serving GLM-4.5 Air > on 4x RTX 3090s > nvtop showing live GPU load > Claude Code generating code + docs > end-to-end on my AI cluster this is what local AI actually looks like Buy a GPU
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running Claude Code w/ local models on my own GPUs at home > vLLM serving GLM-4.5 Air > on 4x RTX 3090s > nvtop showing live GPU load > Claude Code generating code + docs > end-to-end on my AI cluster this is what local AI actually looks like Buy a GPU

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This is GLM-5.2 running on 3x DGX Sparks
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This is GLM-5.2 running on 3x DGX Sparks

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GLM-4.7-Reap running locally fixes my Claude Code setup, 61 tps
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GLM-4.7-Reap running locally fixes my Claude Code setup, 61 tps

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Using glm 4.6 in Claude Code Locally on my PC for FREE. GPU: RTX 5080 16GB RAM: 64GB DDR5 5600MHz CPU: Intel Ultra 9 275HX 20 Cores
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Using glm 4.6 in Claude Code Locally on my PC for FREE. GPU: RTX 5080 16GB RAM: 64GB DDR5 5600MHz CPU: Intel Ultra 9 275HX 20 Cores

Tushar Verma

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How to run GLM-5.2 (Or Minimax or Qwen or Deepseek or Kimi) in Claude Code No JSON editing. No vim 😮‍💨 1. Install Claude Code npm install -g Paul Jankura-ai/claude-code 2. Grab a Fireworks API key → 3. Install FireConnect + drop in your key (one line): curl -fsSL | FIREWORKS_API_KEY="fw_..." bash 4. Flip it on: fireconnect claude on 5. Switch to GLM-5.2 and bam! Swap models with: fireconnect claude model select Docs to do the same for Pi, Opencode, and Codex:
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How to run GLM-5.2 (Or Minimax or Qwen or Deepseek or Kimi) in Claude Code No JSON editing. No vim 😮‍💨 1. Install Claude Code npm install -g Paul Jankura-ai/claude-code 2. Grab a Fireworks API key → 3. Install FireConnect + drop in your key (one line): curl -fsSL | FIREWORKS_API_KEY="fw_..." bash 4. Flip it on: fireconnect claude on 5. Switch to GLM-5.2 and bam! Swap models with: fireconnect claude model select Docs to do the same for Pi, Opencode, and Codex:

Sinan Ozdemir

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I was skeptical about giving GLM-5.2 the task to build a super mario snes style game in a single HTML file so i ran the test on Opus and also on GLM-5.2 Opus didnt even try to make a game or made something but it wasn't a game GLM-5.2 one shotted a pretty functional game.. WILD
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I was skeptical about giving GLM-5.2 the task to build a super mario snes style game in a single HTML file so i ran the test on Opus and also on GLM-5.2 Opus didnt even try to make a game or made something but it wasn't a game GLM-5.2 one shotted a pretty functional game.. WILD

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GLM 5.2, open frontier-scale intelligence on Microsoft Foundry with AMD MI300X. Running a Codex goal with an open model never felt this good!
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GLM 5.2, open frontier-scale intelligence on Microsoft Foundry with AMD MI300X. Running a Codex goal with an open model never felt this good!

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GLM 5.2, Q2_K routed experts (effectively ~2.6 bits) running with SSD streaming on an M5 Max 128GB computer.
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GLM 5.2, Q2_K routed experts (effectively ~2.6 bits) running with SSD streaming on an M5 Max 128GB computer.

antirez

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We ran a test comparing GLM 5.2 vs Sonnet 5. We used the same prompt, with /design in the command code. The difference is big - effects, motion, and especially the footer. Sonnet 5 had nice hover effects, but didn't come close to GLM 5.2 GLM 5.2 wins on quality and pricing.
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We ran a test comparing GLM 5.2 vs Sonnet 5. We used the same prompt, with /design in the command code. The difference is big - effects, motion, and especially the footer. Sonnet 5 had nice hover effects, but didn't come close to GLM 5.2 GLM 5.2 wins on quality and pricing.

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Running a Hermes Agent with GLM 5.2 on a Computer the size of a Deck of Playing Cards 🔥🔥🔥
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Running a Hermes Agent with GLM 5.2 on a Computer the size of a Deck of Playing Cards 🔥🔥🔥

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INCREDIBLE SPEED running Claude Code w/ local models on my own GPUs at home > SGLang serving MiniMax-M2.1 > on 8x RTX 3090s > nvtop showing live GPU load > Claude Code generating code + docs > end-2-end on my AI cluster MiniMax-M2.1 is my favorite model to run locally nowadays
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INCREDIBLE SPEED running Claude Code w/ local models on my own GPUs at home > SGLang serving MiniMax-M2.1 > on 8x RTX 3090s > nvtop showing live GPU load > Claude Code generating code + docs > end-2-end on my AI cluster MiniMax-M2.1 is my favorite model to run locally nowadays

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Finally!! Achieved 385 tok/s with GLM 5.2 NVFP4 on 8x RTX PRO 6000. It was buggy and incredibly slow at first. It took me over a week using agents to get this far.
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Introducing TogetherLink! An open source CLI to run any open source model inside your favorite coding harness. Run GLM 5.2 directly in Codex and Claude Code.
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Introducing TogetherLink! An open source CLI to run any open source model inside your favorite coding harness. Run GLM 5.2 directly in Codex and Claude Code.

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we asked GLM 5.2 and Claude Opus 4.8 to find and fix the bugs in two different scripts while Opus 4.8 finished a few seconds faster in both tests, GLM 5.2 burned roughly 17k–38k fewer tokens and absolutely crushed it on cost, coming in 15x to 22x cheaper! Test 1: GLM 5.2 ($0.068) vs. Opus 4.8 ($1.06) Test 2: GLM 5.2 ($0.045) vs. Opus 4.8 ($1.02)
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we asked GLM 5.2 and Claude Opus 4.8 to find and fix the bugs in two different scripts while Opus 4.8 finished a few seconds faster in both tests, GLM 5.2 burned roughly 17k–38k fewer tokens and absolutely crushed it on cost, coming in 15x to 22x cheaper! Test 1: GLM 5.2 ($0.068) vs. Opus 4.8 ($1.06) Test 2: GLM 5.2 ($0.045) vs. Opus 4.8 ($1.02)

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I asked Claude to help me build a humorous game called Luddite where your job is to destroy AI and stop it from spreading (similar to Plague Inc). Claude hit me with an "Acceptable Use" violation and threatened to restrict my account. So I had to build the game with GLM 5.2.
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I asked Claude to help me build a humorous game called Luddite where your job is to destroy AI and stop it from spreading (similar to Plague Inc). Claude hit me with an "Acceptable Use" violation and threatened to restrict my account. So I had to build the game with GLM 5.2.

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Frontier-level agentic capabilities and long-horizon coding, open source and fully private. That's GLM 5.2, now on Venice. Here's a full walkthrough to build a retro video game with GLM 5.2 and OpenCode, starting from a single prompt:
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Frontier-level agentic capabilities and long-horizon coding, open source and fully private. That's GLM 5.2, now on Venice. Here's a full walkthrough to build a retro video game with GLM 5.2 and OpenCode, starting from a single prompt:

Venice

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Timelapse #156 (36 hrs) - Worked with the tiny corp on getting GLM 5.2 running on 8xMI300X (sglang won here) - Launched KernelBench-Mega and updated Kernelbench-Hard with h100 and b200 sweeps - Took care of boring business stuff - Did some training sweeps for specialized technical vocab audio model - Some bugs with putting kernelbench-mega and hard on cloud instances so had to do some reruns. Learned a lot though - Setting up my own local rl infra and profiling concurrency 128 rollouts with vllm. Became clear to me that I need to serve in nvfp4, use MoE only for throughput, reap so training doesn’t OOM, dig into the vllm kernel graph itself to not underutilize my hardware from poor flashinfer/cutlass selections for my rtx pro 6000 sm120 architecture - Might do online distillation from glm 5.2 but for now taking it one step at a time - Slept for a bit then woke up and showered - Fixed an issue with SGLang tensor parallel deadlock on GLM 5.2 architecture with MTP enabled - GLM 5.2 inference is 2-3x faster than coding plans and running on amd boxes - Spent time with family - Hung out with some friends - Recorded some yoctogpt lectures with the revamped notebook (high taste btw) - Setting up dflash training for GLM 5.2
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Timelapse #156 (36 hrs) - Worked with the tiny corp on getting GLM 5.2 running on 8xMI300X (sglang won here) - Launched KernelBench-Mega and updated Kernelbench-Hard with h100 and b200 sweeps - Took care of boring business stuff - Did some training sweeps for specialized technical vocab audio model - Some bugs with putting kernelbench-mega and hard on cloud instances so had to do some reruns. Learned a lot though - Setting up my own local rl infra and profiling concurrency 128 rollouts with vllm. Became clear to me that I need to serve in nvfp4, use MoE only for throughput, reap so training doesn’t OOM, dig into the vllm kernel graph itself to not underutilize my hardware from poor flashinfer/cutlass selections for my rtx pro 6000 sm120 architecture - Might do online distillation from glm 5.2 but for now taking it one step at a time - Slept for a bit then woke up and showered - Fixed an issue with SGLang tensor parallel deadlock on GLM 5.2 architecture with MTP enabled - GLM 5.2 inference is 2-3x faster than coding plans and running on amd boxes - Spent time with family - Hung out with some friends - Recorded some yoctogpt lectures with the revamped notebook (high taste btw) - Setting up dflash training for GLM 5.2

Elliot Arledge

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MiniMax M2.1 vs Opus 4.5 vs GLM-4.7 built an interactive 3D solar system from scratch. Running on 3 Claude Code in parallel. The winner is: 🥇 GLM-4.7! 🥈 Opus 4.5 (slowest) 🥉 M2.1 (fastest) GLM-4.7 design capabilities are another level vs 4.6!
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MiniMax M2.1 vs Opus 4.5 vs GLM-4.7 built an interactive 3D solar system from scratch. Running on 3 Claude Code in parallel. The winner is: 🥇 GLM-4.7! 🥈 Opus 4.5 (slowest) 🥉 M2.1 (fastest) GLM-4.7 design capabilities are another level vs 4.6!

Ivan Fioravanti ᯅ

81,630 görüntüleme • 7 ay önce

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.
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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.

0xSero

23,422 görüntüleme • 1 ay önce

CLAUDE CODE IS NOW ACTUALLY FREE. Not a trial, not a workaround, just a full coding agent stack running with models like GLM 5.1, Gemma 4, and Elephant Alpha.
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CLAUDE CODE IS NOW ACTUALLY FREE. Not a trial, not a workaround, just a full coding agent stack running with models like GLM 5.1, Gemma 4, and Elephant Alpha.

0xMarioNawfal

131,111 görüntüleme • 4 ay önce