Загрузка видео...

Не удалось загрузить видео

На главную

GLM 5.2 in Amp. Zero data retention, US and West-based inference. It's a good model. Try it now: amp update amp plugins add --auto-update @amp/glm-52-mode amp --mode glm-5.2

beyang's profile picture

Beyang

12,524 subscribers

108,214 просмотров • 22 дней назад •via X (Twitter)

Наука и технологии
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Ran 10 more tests comparing GLM 5.2 & Opus. On average, GLM 5.2 produced 2x the tokens but was still faster + 3x cheaper with similar quality! I'm open sourcing all these tests tomorrow, including the code, my prompts, and the token/cost stats.
0:16

Ran 10 more tests comparing GLM 5.2 & Opus. On average, GLM 5.2 produced 2x the tokens but was still faster + 3x cheaper with similar quality! I'm open sourcing all these tests tomorrow, including the code, my prompts, and the token/cost stats.

Hassan

66,245 просмотров • 18 дней назад

Announcing GLM Arena! A series of tests (infographics, svgs, sites, ect..) ran on GLM 5.2 and Opus 4.8, with prompts included. On average, GLM 5.2 produced 2x the tokens but was still faster + 3x cheaper with similar quality.
0:19

Announcing GLM Arena! A series of tests (infographics, svgs, sites, ect..) ran on GLM 5.2 and Opus 4.8, with prompts included. On average, GLM 5.2 produced 2x the tokens but was still faster + 3x cheaper with similar quality.

Hassan

69,052 просмотров • 17 дней назад

What if you could create stunning AI videos with zero limits, zero invite codes, and zero cost? That's GlobalGPT right now. 🎉 GLM 5.1 & Gemini 3.5 Flash are live — powering comic IPs, ads, dance & more with Happy Horse & Seedance. 👇
0:15

What if you could create stunning AI videos with zero limits, zero invite codes, and zero cost? That's GlobalGPT right now. 🎉 GLM 5.1 & Gemini 3.5 Flash are live — powering comic IPs, ads, dance & more with Happy Horse & Seedance. 👇

COLAW

70,384 просмотров • 1 месяц назад

(Z.ai) is now a model provider inside TRAE. You can BYOK and add GLM-4.6 and GLM-4.5 to TRAE IDE. GLM-4.5 supports up to 128K context and GLM-4.6 expands up to 200K context. Both deliver strong coding and reasoning performance on the benchmark and offers dual “thinking/fast” modes. Available now in the latest version.
0:10

(Z.ai) is now a model provider inside TRAE. You can BYOK and add GLM-4.6 and GLM-4.5 to TRAE IDE. GLM-4.5 supports up to 128K context and GLM-4.6 expands up to 200K context. Both deliver strong coding and reasoning performance on the benchmark and offers dual “thinking/fast” modes. Available now in the latest version.

TRAE

63,501 просмотров • 9 месяцев назад

GLM-4.7 is supported in TRAE! You can plug in GLM-4.7 via as a custom model provider and run it directly in your agentic workflows.
0:10

GLM-4.7 is supported in TRAE! You can plug in GLM-4.7 via as a custom model provider and run it directly in your agentic workflows.

TRAE

21,571 просмотров • 6 месяцев назад

This model is insane at design. I asked GLM 5.2 (left) and Opus 4.8 (right) to build me a landing page and you can't even tell the difference. GLM cost $0.06 while opus cost $0.49. More than 6x cheaper while being faster + more token efficient. Another win for open source AI.
0:11

This model is insane at design. I asked GLM 5.2 (left) and Opus 4.8 (right) to build me a landing page and you can't even tell the difference. GLM cost $0.06 while opus cost $0.49. More than 6x cheaper while being faster + more token efficient. Another win for open source AI.

Hassan

1,572,662 просмотров • 24 дней назад

Holy Smokes GLM 5.2 beats Opus in many webdev task😳 This is the best open model , according to jietang said FABLE like model from them before Q1 2027 . i can trust them , just make glm fat with vision we will have fable Left Right
0:13

Holy Smokes GLM 5.2 beats Opus in many webdev task😳 This is the best open model , according to jietang said FABLE like model from them before Q1 2027 . i can trust them , just make glm fat with vision we will have fable Left Right

Chetaslua

22,607 просмотров • 23 дней назад

Sakana Fugu surprisingly performed near GLM 5.2 level but 17× more expensive! We gave the same prompt to 4 models: build a complete live Trader Desk with both frontend and backend components, real-time market data fetched from external APIs for 8 symbols, and a custom dark-theme UI. Outputs: Fugu Ultra — 22,225 t, $0.51 Opus 4.8 — 15,802 t, $0.31 GPT-5.5 — 11,474 t, $0.26 GLM 5.2 — 13,677 t, $0.03 Fugu created the most polished and feature-rich trading desk in the run. GLM 5.2 was very close behind, with a similarly complete multi-panel interface and live data, but at a much lower cost. Opus and GPT also performed well, delivering solid results with a better balance between quality and cost
0:17

Sakana Fugu surprisingly performed near GLM 5.2 level but 17× more expensive! We gave the same prompt to 4 models: build a complete live Trader Desk with both frontend and backend components, real-time market data fetched from external APIs for 8 symbols, and a custom dark-theme UI. Outputs: Fugu Ultra — 22,225 t, $0.51 Opus 4.8 — 15,802 t, $0.31 GPT-5.5 — 11,474 t, $0.26 GLM 5.2 — 13,677 t, $0.03 Fugu created the most polished and feature-rich trading desk in the run. GLM 5.2 was very close behind, with a similarly complete multi-panel interface and live data, but at a much lower cost. Opus and GPT also performed well, delivering solid results with a better balance between quality and cost

atomic.chat

740,917 просмотров • 19 дней назад

GLM 5.2 is now live on PRXVT AI. Z.ai's openly-released model, built for agents and long, complex coding work. A massive mixture-of-experts model with a huge context window lets it reason through multi-step tasks without losing track. Live now, fully private.
0:10

GLM 5.2 is now live on PRXVT AI. Z.ai's openly-released model, built for agents and long, complex coding work. A massive mixture-of-experts model with a huge context window lets it reason through multi-step tasks without losing track. Live now, fully private.

PRXVT

12,055 просмотров • 21 дней назад

I'm looking forward to the release of 2-bit quantization for GLM-5.2. I'll try to see how much throughput I can squeeze out of my machine.
0:11

I'm looking forward to the release of 2-bit quantization for GLM-5.2. I'll try to see how much throughput I can squeeze out of my machine.

Hikari∣LocalLLM⚡

18,643 просмотров • 24 дней назад

Here's a comparison of Amp Tab to another popular tab-edit implementation. After removing fields, Amp Tab (dark mode) tabs nicely through all follow-on edits. Cursor (light mode) suggests re-adding just-removed fields.
0:15

Here's a comparison of Amp Tab to another popular tab-edit implementation. After removing fields, Amp Tab (dark mode) tabs nicely through all follow-on edits. Cursor (light mode) suggests re-adding just-removed fields.

Beyang

11,150 просмотров • 10 месяцев назад

GLM-4.7, now live in Crush.
0:10

GLM-4.7, now live in Crush.

Charm

41,629 просмотров • 6 месяцев назад

i found a way to make UNCENSORED AI AGENT on a RTX 4090 GPU (!!!) with LOCAL 30B model weights this is GLM-4.7-Flash with abliteration, need 24GB VRAM, safety alignment surgically removed from the weights, the model has native tool calling, it actually executes bash, edits files, runs git (1) use ollama to pull weights of GLM > ollama pull huihui_ai/glm-4.7-flash-abliterated:q4_K (2) proxy it to any coding agent via ollama > ollama launch claude --model huihui_ai/glm-4.7-flash-abliterated:q4_K > ollama launch codex --model huihui_ai/glm-4.7-flash-abliterated:q4_K > ollama launch opencode --model huihui_ai/glm-4.7-flash-abliterated:q4_K (3) have fun
0:11

i found a way to make UNCENSORED AI AGENT on a RTX 4090 GPU (!!!) with LOCAL 30B model weights this is GLM-4.7-Flash with abliteration, need 24GB VRAM, safety alignment surgically removed from the weights, the model has native tool calling, it actually executes bash, edits files, runs git (1) use ollama to pull weights of GLM > ollama pull huihui_ai/glm-4.7-flash-abliterated:q4_K (2) proxy it to any coding agent via ollama > ollama launch claude --model huihui_ai/glm-4.7-flash-abliterated:q4_K > ollama launch codex --model huihui_ai/glm-4.7-flash-abliterated:q4_K > ollama launch opencode --model huihui_ai/glm-4.7-flash-abliterated:q4_K (3) have fun

chiefofautism

340,975 просмотров • 4 месяцев назад

GLM-5 is live on 0G Compute. 744B parameters. SOTA open-source. MIT license. Beats GPT-5.2 on BrowseComp and Terminal-Bench. Run the world's best open model on decentralized infrastructure. No cloud vendor. No data logging. No ToS surprises. Your prompts stay yours.
0:14

GLM-5 is live on 0G Compute. 744B parameters. SOTA open-source. MIT license. Beats GPT-5.2 on BrowseComp and Terminal-Bench. Run the world's best open model on decentralized infrastructure. No cloud vendor. No data logging. No ToS surprises. Your prompts stay yours.

0G Labs (Home of Infinite AI)

77,923 просмотров • 4 месяцев назад

🤗 GLM-4.7-Flash is now live on Hugging Face , powered by Novita. Try it yourself 👇
0:11

🤗 GLM-4.7-Flash is now live on Hugging Face , powered by Novita. Try it yourself 👇

Novita AI

29,994 просмотров • 5 месяцев назад

GLM 5.2 dynamic 1-bit GGUF one shot Flappy Bird with 0 syntax errors whilst being 86% smaller! I was very surprised since normally 1-bit quants get syntax errors & you have to say "Fix bugs". UD 1-bit retained 76.2% top-1% accuracy whilst being 86% smaller vs BF16!
0:15

GLM 5.2 dynamic 1-bit GGUF one shot Flappy Bird with 0 syntax errors whilst being 86% smaller! I was very surprised since normally 1-bit quants get syntax errors & you have to say "Fix bugs". UD 1-bit retained 76.2% top-1% accuracy whilst being 86% smaller vs BF16!

Daniel Han

49,225 просмотров • 23 дней назад

Cool: Hugging Face is now supported in opencode, select your favorite model from the Hub and it will consume your inference quota directly. I recommend starting with GLM-4.5 (great at coding + awesome at agentic tasks)
0:14

Cool: Hugging Face is now supported in opencode, select your favorite model from the Hub and it will consume your inference quota directly. I recommend starting with GLM-4.5 (great at coding + awesome at agentic tasks)

Victor M

50,554 просмотров • 11 месяцев назад

👑 New Game Mode 🪜 Trophy Road Rework 👥 New Legendary & Evolution AND MORE! Check out Clash Royale's latest update!
0:19

👑 New Game Mode 🪜 Trophy Road Rework 👥 New Legendary & Evolution AND MORE! Check out Clash Royale's latest update!

Clash Royale

1,434,807 просмотров • 1 год назад

This free model just beat every closed-source AI on coding benchmarks. Open weights. 6x cheaper than Opus. The labs don't want you to know it exists. > GLM-5.2 from Zai just topped Code Arena - the first open-weights model to ever hold the #1 coding spot. Not a leaked weight, not a fine-tune. A fully open model beating GPT and Claude on their own turf. It's live on Hugging Face Inference API right now. 5 providers: Novita, Together AI, Fireworks, Deepinfra, Zai. OpenAI-compatible client. → Go to huggingface(.)co → grab HF_TOKEN from account settings → plug into any OpenAI-compatible client 6x cheaper than Opus. Companies bleeding on AI bills are already routing to this for orchestration, caching, and token optimization. The smart money moved before the headline dropped. > Now you know. huggingface(.)co/zai-org/GLM-5.2 Bookmark this before everyone else figures it out.
0:11

This free model just beat every closed-source AI on coding benchmarks. Open weights. 6x cheaper than Opus. The labs don't want you to know it exists. > GLM-5.2 from Zai just topped Code Arena - the first open-weights model to ever hold the #1 coding spot. Not a leaked weight, not a fine-tune. A fully open model beating GPT and Claude on their own turf. It's live on Hugging Face Inference API right now. 5 providers: Novita, Together AI, Fireworks, Deepinfra, Zai. OpenAI-compatible client. → Go to huggingface(.)co → grab HF_TOKEN from account settings → plug into any OpenAI-compatible client 6x cheaper than Opus. Companies bleeding on AI bills are already routing to this for orchestration, caching, and token optimization. The smart money moved before the headline dropped. > Now you know. huggingface(.)co/zai-org/GLM-5.2 Bookmark this before everyone else figures it out.

Atenov int.

12,395 просмотров • 22 дней назад

Whoa, GLM-5.2 is INSANE for UI/UX with the right prompting. Open models have finally closed the gap. You have to push it, but it's super creative. I just asked for a beautiful personal site; this was all the model's idea (multiple turns):
0:16

Whoa, GLM-5.2 is INSANE for UI/UX with the right prompting. Open models have finally closed the gap. You have to push it, but it's super creative. I just asked for a beautiful personal site; this was all the model's idea (multiple turns):

Anshu

177,734 просмотров • 25 дней назад