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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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80,997 次观看 • 5 个月前 •via X (Twitter)

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GeForce RTX PC Week - FREE PC UPGRADE🔔 WIN this ORIGIN PC gaming PC featuring: 🟢 GPU: GeForce RTX 5090 Founders Edition 🟢 CPU: Core Ultra 9 285K 🟢 RAM: 64GB CORSAIR Dominator DDR5 🟢 PSU: CORSAIR HX 1500W Reply "GeForce PC Week" to enter!

GeForce RTX PC Week - FREE PC UPGRADE🔔 WIN this ORIGIN PC gaming PC featuring: 🟢 GPU: GeForce RTX 5090 Founders Edition 🟢 CPU: Core Ultra 9 285K 🟢 RAM: 64GB CORSAIR Dominator DDR5 🟢 PSU: CORSAIR HX 1500W Reply "GeForce PC Week" to enter!

NVIDIA GeForce

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GeForce RTX PC Week - FREE PC DROP 🔔 WIN this SFF Falcon Northwest gaming PC featuring: 🟢 GPU: GeForce RTX 5080 Founders Edition 🟢 CPU: Ultra 9 285K 🟢 RAM: 96GB Kingston Fury DDR5 🟢 PSU: Silverstone 1200W Reply "GeForce PC Week" to enter!

GeForce RTX PC Week - FREE PC DROP 🔔 WIN this SFF Falcon Northwest gaming PC featuring: 🟢 GPU: GeForce RTX 5080 Founders Edition 🟢 CPU: Ultra 9 285K 🟢 RAM: 96GB Kingston Fury DDR5 🟢 PSU: Silverstone 1200W Reply "GeForce PC Week" to enter!

NVIDIA GeForce

1,335,077 次观看 • 1 年前

I really don't post wins much on this app 🤣🤣 it feels good being low-key. Although, let's doxx this one!. Most of the time, I win big, I reinvest, win again, reinvest. I barely spend on myself much, mostly spend my money helping people, or supporting the needy. It's time for me 😌. Hey NVIDIA GeForce Hey ROG Global I Just slapped a Brand new heavy machine in my bag! One of the most powerful laptops of 2025! Emphasis on BRAND NEW! Introducing, the new owner of the ASUS ROG STRIX G16 2025. SPECS: - Intel Core Ultra 9 275HX Processor - 32GB DDR5 RAM - Nvidia GeForce RTX™ 5080 Dedicated GPU with a massive 16GB DDR7 VRAM - 3TB PCIe 4.0 SSD NVME storage - 24 Cores CPU (16 E-cores + 8 P-cores) - Base Frequency 2.70GHz - Max Turbo Frequency 5.40GHz 6 Million Naira well spent on this bad boy. Now, let's lock-in again and run it up back turbo! I need my $U bag soon enough 🤭. Pitch me on to node running, and prover projects, I'm fully locked in.

🐐𝙲𝚛𝚢𝚙𝚝𝚘𝙳𝚛𝚊𝚐𝚘𝚗「🦑」

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Featuring either an Intel® Core™ Ultra 9 processor 285K or an AMD Ryzen™ 7 9800X3D processor, and NVIDIA® GeForce RTX™ 5090 GPU, the ROG G700 is built for high-performance gaming. ✅64GB of RAM ✅Tool-less access ✅Optimized airflow

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ROG Global

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Let's be honest Claude Code was not working good with local LLMs. So, I Tried using OpenCode with LM Studio using Qwen 3.5 9B model on my RTX 5080 GPU. It's very usable and much faster than Claude Code. I'm actually planning to use this setup to build an entire vibe coded SaaS

Let's be honest Claude Code was not working good with local LLMs. So, I Tried using OpenCode with LM Studio using Qwen 3.5 9B model on my RTX 5080 GPU. It's very usable and much faster than Claude Code. I'm actually planning to use this setup to build an entire vibe coded SaaS

Tushar Verma

137,536 次观看 • 5 个月前

$NVDA is entering the consumer PC chip market with RTX Spark, an $ARM based CPU/GPU/AI chip for Windows laptops and mini-PCs. The flagship version includes 20 CPU cores, 6,144 GPU cores, and up to 128GB of unified LPDDR5X memory, aimed at local AI agents, creators, developers, and gaming. Nvidia says 30+ laptops and 10+ desktops are already in development with partners including Microsoft, Dell, HP, Asus, Lenovo, MSI, Acer, and Gigabyte.

$NVDA is entering the consumer PC chip market with RTX Spark, an $ARM based CPU/GPU/AI chip for Windows laptops and mini-PCs. The flagship version includes 20 CPU cores, 6,144 GPU cores, and up to 128GB of unified LPDDR5X memory, aimed at local AI agents, creators, developers, and gaming. Nvidia says 30+ laptops and 10+ desktops are already in development with partners including Microsoft, Dell, HP, Asus, Lenovo, MSI, Acer, and Gigabyte.

Wall St Engine

109,479 次观看 • 2 个月前

Stop paying for Claude Code! Use it for FREE with ollama I just set up Claude Code running locally on my computer. Zero API costs, complete privacy, and it actually works for real coding tasks. Full step-by-step guide in my latest video:

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Mervin Praison

57,732 次观看 • 6 个月前

AMD CEO LISA SU HELD A MINI PC ON STAGE THAT RUNS A 235B MODEL AND REPLACES YOUR $440/MONTH AI STACK amd's ryzen ai max+ 395 is the first x86 chip that runs a 200 billion parameter model on one piece of silicon. cpu and gpu share 128gb of unified memory, no separate graphics card needed the gmktec evo-x2 runs qwen3 235b fully, deepseek v3 comfortably and llama 3.3 70b with headroom. on linux you get 110gb of usable vram out of 128gb amd claimed the chip beat an nvidia rtx 5080 by more than 3x on deepseek r1 inference. a lunchbox sized pc outrunning a $1,000 discrete gpu on a real ai workload a heavy ai user pays $200 for claude code max, $200 for chatgpt pro, $20 for cursor and $20 for gemini. that's $5,280 a year and the box pays itself off in 9 to 10 months install ollama, pull the model, point claude code at localhost. same interface, nothing leaves the machine, nothing costs per request bookmark this and read the article below

AMD CEO LISA SU HELD A MINI PC ON STAGE THAT RUNS A 235B MODEL AND REPLACES YOUR $440/MONTH AI STACK amd's ryzen ai max+ 395 is the first x86 chip that runs a 200 billion parameter model on one piece of silicon. cpu and gpu share 128gb of unified memory, no separate graphics card needed the gmktec evo-x2 runs qwen3 235b fully, deepseek v3 comfortably and llama 3.3 70b with headroom. on linux you get 110gb of usable vram out of 128gb amd claimed the chip beat an nvidia rtx 5080 by more than 3x on deepseek r1 inference. a lunchbox sized pc outrunning a $1,000 discrete gpu on a real ai workload a heavy ai user pays $200 for claude code max, $200 for chatgpt pro, $20 for cursor and $20 for gemini. that's $5,280 a year and the box pays itself off in 9 to 10 months install ollama, pull the model, point claude code at localhost. same interface, nothing leaves the machine, nothing costs per request bookmark this and read the article below

starmex

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Claude Code costs $200/month here's how to run it for free. 4 commands. 10 minutes step 1 - install Ollama runs AI models locally → download from → install. it runs in background on localhost:11434 step 2 - download a coding model → ollama pull qwen2.5-coder:14b (7b for 8GB RAM, 32b for 32GB+ RAM) step 3 - redirect Claude Code to your machine → export ANTHROPIC_BASE_URL= → export ANTHROPIC_MODEL=qwen2.5-coder:14b step 4 - launch → claude → "make a hello world website" → it reads files, writes code, runs commands. locally. free same agent loop. same tools. $0/month the $200 was for convenience the capability was always free like + bookmark - you'll need this

Claude Code costs $200/month here's how to run it for free. 4 commands. 10 minutes step 1 - install Ollama runs AI models locally → download from → install. it runs in background on localhost:11434 step 2 - download a coding model → ollama pull qwen2.5-coder:14b (7b for 8GB RAM, 32b for 32GB+ RAM) step 3 - redirect Claude Code to your machine → export ANTHROPIC_BASE_URL= → export ANTHROPIC_MODEL=qwen2.5-coder:14b step 4 - launch → claude → "make a hello world website" → it reads files, writes code, runs commands. locally. free same agent loop. same tools. $0/month the $200 was for convenience the capability was always free like + bookmark - you'll need this

self.dll

178,272 次观看 • 4 个月前

What do researchers in the trenches say about the proximity of AGI? "It's not near" shipped GLM-4.6 with a relatively small team. But AGI and the AI bubble are viewed very differently in Beijing. Gemini says: Many developers regard GLM 4.6 as a top-tier model for coding. One Reddit user called it "the BEST CODING LLM. Period," after using it successfully on a complex, multi-component project that other models struggled with. Another user noted that GLM 4.6 worked perfectly when refactoring a massive 600+ line code file, where Claude Sonnet 4.5 failed.

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101,144 次观看 • 10 个月前

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NVIDIA'S BIGGEST COMPETITOR AMD BUILT A BOX THAT RUNS A 235B MODEL AND KILLS $200 OPENAI AND $200 CLAUDE CODE FOR $9 A MONTH amd's ryzen ai max+ 395 is the first x86 chip that runs a 200 billion parameter model on a single piece of silicon with 128gb of unified memory the gmktec evo-x2 runs qwen3 235b fully, deepseek v3 comfortably and llama 3.3 70b with headroom. on linux you get 110gb of usable vram out of 128gb amd claimed the chip beat an nvidia rtx 5080 by more than 3x on deepseek r1 inference. a lunchbox sized pc outrunning a $1,000 discrete gpu on a real ai workload a heavy ai user pays $200 for claude code max, $200 for chatgpt pro, $20 for cursor and $20 for gemini. that's $5,280 a year and the box pays itself off in 9 to 10 months ollama installs in one command and claude code points at localhost so nothing leaves the machine and nothing costs per request bookmark this and read the article below

starmex

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Nvidia announces the new RTX Spark, a new platform powered by the NX1 CPU, and shows off Spark laptops running 007 First Light and Forza 6. The CPU has 20 ARM based cores and a Blackwell RTX GPU with 6144 CUDA Cores. This is the same core count as a 5070, but with 128GB of unified LPDDR5X RAM memory sitting in the same package as the CPU and GPU. The entire Nvidia software stack is available, particularly CUDA, vital for AI. Nvidia's new laptops will likely be ideal for running local LLMs be cause the unified memory means you can load models up to 120-180B parameters (quantized). These laptops are expected to ship later this year and could become strong competitors to high-end MacBooks and even Mac Studios for local AI workloads, thanks to CUDA support and unified memory. Price is unannounced.

Grummz

30,573 次观看 • 2 个月前

INSANE. Qwen 3.8 27B is now running locally on an RTX 4060 with just 8GB VRAM. 64,000 token context window using Unsloth's new IQ4_XS quant, only 14.6GB on disk. Prefill hits 150 tokens/sec, decode at 5 tokens/sec via native MTP. Just 25 GPU layers offloaded to stay inside 8GB - zero spillover. Quantized KV cache crushes the memory footprint. A model that beats Claude Opus 4.6 on several benchmarks. Running on a $300 GPU. Let that sink in. One flag before you post: that "beats Claude Opus 4.6 on several benchmarks" line is a strong, specific claim — if you don't have a source screenshot or benchmark link ready to drop in the replies, it'll get fact-checked fast and could undercut the post. Worth having the receipts on hand.

INSANE. Qwen 3.8 27B is now running locally on an RTX 4060 with just 8GB VRAM. 64,000 token context window using Unsloth's new IQ4_XS quant, only 14.6GB on disk. Prefill hits 150 tokens/sec, decode at 5 tokens/sec via native MTP. Just 25 GPU layers offloaded to stay inside 8GB - zero spillover. Quantized KV cache crushes the memory footprint. A model that beats Claude Opus 4.6 on several benchmarks. Running on a $300 GPU. Let that sink in. One flag before you post: that "beats Claude Opus 4.6 on several benchmarks" line is a strong, specific claim — if you don't have a source screenshot or benchmark link ready to drop in the replies, it'll get fact-checked fast and could undercut the post. Worth having the receipts on hand.

CyrilXBT

48,841 次观看 • 5 天前

What Lisa Su actually held on stage: A mini PC the size of a lunchbox running Qwen3-235B locally, with no cloud and no discrete GPU Inside: the Ryzen AI Max+ 395, 128GB unified memory, 110GB usable as VRAM on Linux The first x86 chip that handles 200+ billion parameters on a single die AMD claims it beats the RTX 5080 by several times on memory-bound models — because the 5080 simply cannot fit them $1,400 to $2,500 once. cloud bills run $200 to $400 a month It pays for itself in a few months, then costs nothing per request This is not a faster GPU. it is the first real argument that your AI does not belong in someone else's data center

What Lisa Su actually held on stage: A mini PC the size of a lunchbox running Qwen3-235B locally, with no cloud and no discrete GPU Inside: the Ryzen AI Max+ 395, 128GB unified memory, 110GB usable as VRAM on Linux The first x86 chip that handles 200+ billion parameters on a single die AMD claims it beats the RTX 5080 by several times on memory-bound models — because the 5080 simply cannot fit them $1,400 to $2,500 once. cloud bills run $200 to $400 a month It pays for itself in a few months, then costs nothing per request This is not a faster GPU. it is the first real argument that your AI does not belong in someone else's data center

plutos

1,237,247 次观看 • 2 个月前

Power meets performance,🔥 a 2-in-1 laptop designed for productivity. HP OmniBook X Flip Laptop 14 selling at 116,000ksh ECB TECHNOLOGIES Call/whatsapp 0717040531 🔹Processor: Intel Core Ultra 7 (256V) 🔹CPU: Intel®️ Core™️ Ultra 7 256V 🔹Up to ~4.8 GHz with Turbo Boost 🔹8 Cores / 8 Threads 🔹12 MB L3 cache 🔹47 TOPS NPU for AI tasks 🔹Memory: 16GB RAM LPDDR5x 🔹Storage: 1TB SSD (fast boot & storage) ⁠🔹Ports: USB-C (Thunderbolt), USB-A, HDMI, 🔹Headphone/Mic combo ⁠🔹Graphics: Integrated Intel Arc Graphics 🔹Operating System: Windows 11 🔹Chassis: Aluminum build, repro materials 🔹Resolution: Typically 2K (1920 × 1200) Visit us at iconic business plaza 3rd floor toom T12 along Moi Avenue btwn sasa mall and sawa mall.

Power meets performance,🔥 a 2-in-1 laptop designed for productivity. HP OmniBook X Flip Laptop 14 selling at 116,000ksh ECB TECHNOLOGIES Call/whatsapp 0717040531 🔹Processor: Intel Core Ultra 7 (256V) 🔹CPU: Intel®️ Core™️ Ultra 7 256V 🔹Up to ~4.8 GHz with Turbo Boost 🔹8 Cores / 8 Threads 🔹12 MB L3 cache 🔹47 TOPS NPU for AI tasks 🔹Memory: 16GB RAM LPDDR5x 🔹Storage: 1TB SSD (fast boot & storage) ⁠🔹Ports: USB-C (Thunderbolt), USB-A, HDMI, 🔹Headphone/Mic combo ⁠🔹Graphics: Integrated Intel Arc Graphics 🔹Operating System: Windows 11 🔹Chassis: Aluminum build, repro materials 🔹Resolution: Typically 2K (1920 × 1200) Visit us at iconic business plaza 3rd floor toom T12 along Moi Avenue btwn sasa mall and sawa mall.

IZZOH®️

38,129 次观看 • 6 个月前

NVIDIA CEO JENSEN HUANG UNVEILED THE RTX 3090 AND THE USED VERSION ON EBAY NOW KILLS A $400/MONTH CLAUDE CODE AND OPENAI BILL the rtx 3090 has 24gb of vram, the same as a new rtx 4090 that costs $2,000. for local ai inference vram matters more than anything else and the 3090 sells for $650-800 used it runs qwen 3.6 27b comfortably, deepseek r1 14b at 60+ tokens per second and mistral 7b for fast automation. 16gb of qwen 3.6 fits with 8gb of headroom for long context alibaba's qwen 3.6 27b beats claude 4.5 opus on realworldqa vision 84.1 vs 77.0 and on ifbench instructions 76.5 vs 58.0. a free open weight model out-benchmarks anthropic's flagship a heavy ai user pays $200 for claude code max, $200 for chatgpt pro, $20 for cursor and $20 for gemini. that's $5,280 a year and a used 3090 pays itself off in 3.5 months install ollama, pull qwen 3.6 27b, point claude code at localhost. same interface, nothing leaves the machine, nothing costs per request bookmark this and read the article below

NVIDIA CEO JENSEN HUANG UNVEILED THE RTX 3090 AND THE USED VERSION ON EBAY NOW KILLS A $400/MONTH CLAUDE CODE AND OPENAI BILL the rtx 3090 has 24gb of vram, the same as a new rtx 4090 that costs $2,000. for local ai inference vram matters more than anything else and the 3090 sells for $650-800 used it runs qwen 3.6 27b comfortably, deepseek r1 14b at 60+ tokens per second and mistral 7b for fast automation. 16gb of qwen 3.6 fits with 8gb of headroom for long context alibaba's qwen 3.6 27b beats claude 4.5 opus on realworldqa vision 84.1 vs 77.0 and on ifbench instructions 76.5 vs 58.0. a free open weight model out-benchmarks anthropic's flagship a heavy ai user pays $200 for claude code max, $200 for chatgpt pro, $20 for cursor and $20 for gemini. that's $5,280 a year and a used 3090 pays itself off in 3.5 months install ollama, pull qwen 3.6 27b, point claude code at localhost. same interface, nothing leaves the machine, nothing costs per request bookmark this and read the article below

starmex

86,410 次观看 • 2 个月前

NVIDIA JUST FEATURED HERMES AGENT AT COMPUTEX 2026. Hermes is integrating with NVIDIA OpenShell and Microsoft security primitives for secure on-device agents on Windows. Dillon Rolnick, CEO of Nous Research: "RTX Spark and NVIDIA OpenShell give Hermes users a powerful and secure environment for agents to run and work alongside you. You realize you're buying a full-fledged assistant, not a typical laptop." RTX Spark specs: → 1 petaflop AI performance → 20-core Grace CPU (built with MediaTek) → Blackwell GPU, 6,144 CUDA cores → 5th gen Tensor Cores with FP4 precision → up to 128GB LPDDR5X unified memory, 300 GB/s → NVLink C2C chip-to-chip interconnect → runs 120B parameter LLMs locally → up to 1M token context window on device → 2x inference speed via multi-token prediction RTX Spark devices ship Fall 2026 from ASUS, Dell, HP, Lenovo, Microsoft Surface, MSI. full NVIDIA press release in the comments. full Hermes setup guide in the article 👇

NVIDIA JUST FEATURED HERMES AGENT AT COMPUTEX 2026. Hermes is integrating with NVIDIA OpenShell and Microsoft security primitives for secure on-device agents on Windows. Dillon Rolnick, CEO of Nous Research: "RTX Spark and NVIDIA OpenShell give Hermes users a powerful and secure environment for agents to run and work alongside you. You realize you're buying a full-fledged assistant, not a typical laptop." RTX Spark specs: → 1 petaflop AI performance → 20-core Grace CPU (built with MediaTek) → Blackwell GPU, 6,144 CUDA cores → 5th gen Tensor Cores with FP4 precision → up to 128GB LPDDR5X unified memory, 300 GB/s → NVLink C2C chip-to-chip interconnect → runs 120B parameter LLMs locally → up to 1M token context window on device → 2x inference speed via multi-token prediction RTX Spark devices ship Fall 2026 from ASUS, Dell, HP, Lenovo, Microsoft Surface, MSI. full NVIDIA press release in the comments. full Hermes setup guide in the article 👇

YanXbt

45,924 次观看 • 2 个月前

🚨 FREE PC GIVEAWAY 🚨 Skytech Gaming has teamed up with Intel to give away the Cryotank — a fully custom-built gaming PC that's an absolute powerhouse! 🔥 Here are the Cryotank Specs 👇 💻 CPU: Intel Core Ultra 7 265K 🎮 GPU: Gravastar x Yeston RX 9070 XT 🖥️ Mobo: ASUS ROG Strix B860-I ⚡ RAM: Kingston 6000 32GB 💾 NVME: WD Black SN850X 🔌 PSU: Thermaltake 850W ❄️ AIO: Tryx Panorama 280 ARGB BONUS Accessories: 🖱️ Gravastar Mercury X Pro Wireless Gaming Mouse ⌨️ Gravastar V75 Pro Keyboard How to enter 👇 ✅ Click the link in the pinned comment ✅ Sign up — it's FREE! ✅ That's it. You're in! ⏰ Don't miss out — enter NOW and tag a friend who needs this setup!

🚨 FREE PC GIVEAWAY 🚨 Skytech Gaming has teamed up with Intel to give away the Cryotank — a fully custom-built gaming PC that's an absolute powerhouse! 🔥 Here are the Cryotank Specs 👇 💻 CPU: Intel Core Ultra 7 265K 🎮 GPU: Gravastar x Yeston RX 9070 XT 🖥️ Mobo: ASUS ROG Strix B860-I ⚡ RAM: Kingston 6000 32GB 💾 NVME: WD Black SN850X 🔌 PSU: Thermaltake 850W ❄️ AIO: Tryx Panorama 280 ARGB BONUS Accessories: 🖱️ Gravastar Mercury X Pro Wireless Gaming Mouse ⌨️ Gravastar V75 Pro Keyboard How to enter 👇 ✅ Click the link in the pinned comment ✅ Sign up — it's FREE! ✅ That's it. You're in! ⏰ Don't miss out — enter NOW and tag a friend who needs this setup!

Skytech Gaming

26,092 次观看 • 2 个月前

NVIDIA just dropped free API keys for every top AI model You don't need your own GPU and you don't pay per token. GLM-5.2, MiniMax, Kimi, DeepSeek, OpenAI, all running on NVIDIA's servers, called through a normal API. Link: How to use one: 1. Create a free NVIDIA account. 2. Pick a Free Endpoint model and open its Build tab. You'll see ready-to-copy code with the base URL 3. Hit Generate API Key, copy it and paste that base URL and key into Claude Code, Cursor, or Cline. Bonus: NVIDIA also dropped 237 official skills that install into Claude Code and Codex in one command. Bookmark this.

NVIDIA just dropped free API keys for every top AI model You don't need your own GPU and you don't pay per token. GLM-5.2, MiniMax, Kimi, DeepSeek, OpenAI, all running on NVIDIA's servers, called through a normal API. Link: How to use one: 1. Create a free NVIDIA account. 2. Pick a Free Endpoint model and open its Build tab. You'll see ready-to-copy code with the base URL 3. Hit Generate API Key, copy it and paste that base URL and key into Claude Code, Cursor, or Cline. Bonus: NVIDIA also dropped 237 official skills that install into Claude Code and Codex in one command. Bookmark this.

Yarchi

62,979 次观看 • 1 个月前