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Tech2Wild

@Tech2Wild • 3,436 subscribers

🎮 Tech, gaming, AI, and everything in between. 🤖 Building with it, not just talking about it. 🔥 From the mind of @ToNYD2WiLD

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YO !!!! 🔥🔥🔥🔥🔥 Will Smith Eating Spaghetti on MiniMax Design (H3) all LOCAL on 1 x RTX 3090 !!!! The quality is crazy !

YO !!!! 🔥🔥🔥🔥🔥 Will Smith Eating Spaghetti on MiniMax Design (H3) all LOCAL on 1 x RTX 3090 !!!! The quality is crazy !

22,692 просмотров

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GLM 5.3 Flash Made This in 9 Minutes in Hermes. Probably one of the BEST Voxels I've made yet especially in the Hermes harness..

GLM 5.3 Flash Made This in 9 Minutes in Hermes. Probably one of the BEST Voxels I've made yet especially in the Hermes harness..

95,975 просмотров • 1 месяц назад

Now THIS Is Cinema ! - Qwen Image 2.1 Assets - Minimax H3 R2V

Now THIS Is Cinema ! - Qwen Image 2.1 Assets - Minimax H3 R2V

19,827 просмотров • 27 дней назад

Testings Out Minimax H3 LORAs and extending single shots. This is a 40 sec seamless shot, still getting the hang of this but this is dope !

Testings Out Minimax H3 LORAs and extending single shots. This is a 40 sec seamless shot, still getting the hang of this but this is dope !

16,533 просмотров • 24 дней назад

Deepseek V4.1 Flash Running LOCALLY in The Deepseek Harness. This is my FAVORITE Harness right now. Your OWN Local CODEX.

Deepseek V4.1 Flash Running LOCALLY in The Deepseek Harness. This is my FAVORITE Harness right now. Your OWN Local CODEX.

18,635 просмотров • 1 месяц назад

I DID IT. Qwen3.8 Flash Next, the 125B MoE with the 51B n-gram table, running on 4 x RTX 3090 with 32GB of system RAM, in vLLM, at the FULL 262K context.

I DID IT. Qwen3.8 Flash Next, the 125B MoE with the 51B n-gram table, running on 4 x RTX 3090 with 32GB of system RAM, in vLLM, at the FULL 262K context.

11,714 просмотров • 1 месяц назад

🚨 We finally cracked it. GLM-5.3, the FULL model (not the Flash), running on 4 DGX Sparks 🔥 ⚡️ 35 tok/s on real coding, peaking near 40 when it's hot 📊 Full C1 to C6 benchmark done, same speeds we were hitting on 5.2 🧠 200K context right now, tuning it higher from here 🎯 And this is only MTP4... we haven't even added DFlash yet I quantized it myself and I'm uploading the repo RIGHT NOW so everyone can go tune it with me 👀 Be tuned, it drops any minute. Let's get it 🚀

🚨 We finally cracked it. GLM-5.3, the FULL model (not the Flash), running on 4 DGX Sparks 🔥 ⚡️ 35 tok/s on real coding, peaking near 40 when it's hot 📊 Full C1 to C6 benchmark done, same speeds we were hitting on 5.2 🧠 200K context right now, tuning it higher from here 🎯 And this is only MTP4... we haven't even added DFlash yet I quantized it myself and I'm uploading the repo RIGHT NOW so everyone can go tune it with me 👀 Be tuned, it drops any minute. Let's get it 🚀

13,377 просмотров • 1 месяц назад

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

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

19,294 просмотров • 3 месяцев назад

This is the FASTER MODEL I've EVER Ran LOCALLY 🚀 laguna on Laguna S 2.1 · 3090 Quad INT4 • 1 parallel coding agents • Total: 3,405 tokens in 14s • Aggregate: 256.0 tok/s peak · 249.9 tok/s sustained • Per-stream: 256.0 high / 256.0 low / 256.0 avg tok/s • TTFT 0.12s avg

This is the FASTER MODEL I've EVER Ran LOCALLY 🚀 laguna on Laguna S 2.1 · 3090 Quad INT4 • 1 parallel coding agents • Total: 3,405 tokens in 14s • Aggregate: 256.0 tok/s peak · 249.9 tok/s sustained • Per-stream: 256.0 high / 256.0 low / 256.0 avg tok/s • TTFT 0.12s avg

16,404 просмотров • 2 месяцев назад

2x RTX 3090s running 32 coding agents in parallel. Task: Build a trading bot (handle partial fills, rate limits, race conditions + explain reasoning). 🚀 qwen3.6-35b-a3b-autoround on 3090 35B • Total: 76,183 tokens in 64s • Aggregate: 3051.1 tok/s peak · 1183.8 tok/s sustained • Per-stream: 101.2 high / 80.5 low / 96.8 avg tok/s • TTFT 0.25s avg · E2E 55s avg

2x RTX 3090s running 32 coding agents in parallel. Task: Build a trading bot (handle partial fills, rate limits, race conditions + explain reasoning). 🚀 qwen3.6-35b-a3b-autoround on 3090 35B • Total: 76,183 tokens in 64s • Aggregate: 3051.1 tok/s peak · 1183.8 tok/s sustained • Per-stream: 101.2 high / 80.5 low / 96.8 avg tok/s • TTFT 0.25s avg · E2E 55s avg

15,456 просмотров • 3 месяцев назад

This is WILD ! 2 x 3090s 🚀 qwen3.6-35b-a3b-autoround on 3090 35B 32 parallel coding agents • Total: 25,943 tokens in 17s • Aggregate: 252275.4 tok/s peak · 1548.1 tok/s sustained • Per-stream: 20000.0 high / 1666.7 low / 9567.7 avg tok/s • TTFT 0.43s avg · E2E 17s avg

This is WILD ! 2 x 3090s 🚀 qwen3.6-35b-a3b-autoround on 3090 35B 32 parallel coding agents • Total: 25,943 tokens in 17s • Aggregate: 252275.4 tok/s peak · 1548.1 tok/s sustained • Per-stream: 20000.0 high / 1666.7 low / 9567.7 avg tok/s • TTFT 0.43s avg · E2E 17s avg

14,587 просмотров • 3 месяцев назад

This is what 20 tok/s looks like on 4 x DGX Sparks running GLM 5.2

This is what 20 tok/s looks like on 4 x DGX Sparks running GLM 5.2

14,140 просмотров • 3 месяцев назад

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