Unsloth AI ✓

@UnslothAI · San Francisco, CA · joined 30 Nov 2023

Run and train models locally with the Unsloth Desktop app. 🦥 https://t.co/2kXqhhvdCD

96 610Followers

478Following

771Posts total

2.6MViews on collected posts

Neueste Beiträge

Unsloth AI ✓@UnslothAI2 Sep

Qwen3.8-Flash can now run 1.7× faster locally with MTP!⚡️ GGUFs can reach 170 tokens/s on a RTX PRO 6000. MTP enables Qwen3.8-Flash-Next ~1.3–1.7× faster inference with no accuracy change. GGUFs: https://t.co/vXkjO3W0fj Guide: https://t.co/LLMclyJTeL https://t.co/KuWfuLOJBR 100.3K views · 1.1K likes · 124 reposts · 60 replies Open on X →

Unsloth AI ✓@UnslothAI28 Aug

GLM-5.3 can now be run locally! The 2-bit model retains ~81% accuracy after we shrunk it from 1.51TB to 239GB (-83% size). Run on a 256GB Mac or RAM/VRAM setups. GLM-5.3 is the strongest open model to date. Guide: https://t.co/NLgb3CMB6A GGUF: https://t.co/Sqwq3xjgo5 https:// 224.1K views · 1.9K likes · 213 reposts · 100 replies Open on X →

Unsloth AI ✓@UnslothAI27 Aug

GLM-5.3-Flash can now be run locally! ✨ Run 3-bit on 128GB RAM via Unsloth GGUF. GLM-5.3-Flash (ox-alpha) rivals Claude Opus 4.8 on DeepSWE, coding & agentic benchmarks. Guide: https://t.co/oItBKYNrl9 GGUF: https://t.co/E73FKC7IKM https://t.co/V1t8fDIUtp 302.9K views · 1.7K likes · 201 reposts · 106 replies Open on X →

Unsloth AI ✓@UnslothAI26 Aug

@UnslothAI Running Qwen 3.8 Flash Next on a 12GB Android phone with unsloth gguf. 2 tok/s https://t.co/O3K1x3ksVc 4K views · 17 likes · 3 reposts · 1 replies Open on X →

Unsloth AI ✓@UnslothAI26 Aug

@UnslothAI i love that “locally” now means 75gb of ram and a small prayer 5.1K views · 37 likes · 0 reposts · 6 replies Open on X →

Unsloth AI ✓@UnslothAI26 Aug

@UnslothAI You are faster than light! Updating and downloading everything NOW!!!! 5.6K views · 42 likes · 0 reposts · 0 replies Open on X →

Unsloth AI ✓@UnslothAI26 Aug

Qwen3.8-Flash can now be run locally! 🔥 The 125B MoE model outperforms Claude-Opus-4.6 (Max). Run on 75GB RAM via Unsloth GGUFs. Qwen3.8-Flash-Next enables CPU RAM / unified mem setups to deliver near VRAM speeds. Guide: https://t.co/LLMclyJTeL GGUF: https://t.co/vXkjO3W0fj h 1.1M views · 2.5K likes · 319 reposts · 164 replies Open on X →

Unsloth AI ✓@UnslothAI11 Aug

Introducing Unsloth Desktop 🦥 The first desktop app to run and train models locally. • Open-source. Runs on Mac, Windows and Linux • Supports MLX, diffusion image/video, audio, GGUF • Connect Claude Code and Codex to local LLMs • 50% more accurate, self-healing tool calls + http 804.2K views · 4.8K likes · 634 reposts · 272 replies Open on X →

Im Vergleich zu Konten gleicher Größe

8 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.

Medianaufrufe162 198dieses Konto924Median für 10K–100K

Reichweite, %167.89%dieses Konto3.62%Median für 10K–100K

Interaktion, %0.74%dieses Konto1.52%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	162 198	924	176×
Reichweite (Aufrufe ÷ Follower)	167.89%	3.62%	46.4×
Interaktionsrate	0.74%	1.52%	0.48×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

804.2K11 Aug

1.1M26 Aug

5.6K

5.1K

302.9K27 Aug

224.1K28 Aug

100.3K2 Sep

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.73%11 Aug

0.28%26 Aug

0.75%

0.85%

0.53%

0.67%27 Aug

1.01%28 Aug

1.31%2 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes56.6%12 104 in total

Reposts7.0%1 494 in total

Replies3.3%709 in total

Quotes1.8%392 in total

Bookmarks31.3%6 694 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Neueste Beiträge

Im Vergleich zu Konten gleicher Größe

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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