Unsloth AI✓ Add us as a preferred source on Google

X @unslothai

⚔ Compare ☆ Follow Own this channel?

🔄 Data last refreshed 1 month ago

🤝

Make a deal with Unsloth AI

🔒 Paid proposals held safely in escrow — released only when the work's approved.

Followers

87.2K

Posts

722

Following

479

Account age

2 yrs

🎁 Free analysisfor Unsloth AI

🕵️Fake Followers CheckReal-audience % & bot risk→ 📊Engagement rateBenchmarked vs. peers→ 💰What they chargeFair sponsored-post price→

Known for

We’re releasing new Qwen3.8-27B GGUFs with 10% higher accuracy.

Unsloth Dynamic V3 outperforms others by >10% on Div-300, KLD & more benchmarks.

We also release 1-bit quants that retain 77% accuracy. Run on 8GB RAM.

Blog: https://t.co/tHsBexyh2K
GGUF: https://t.co/xIdNwm7CLQ

1.2M views We’re releasing new Qwen3.8-27B GGUFs with 10% higher accuracy. Unsloth Dynamic V3 outperforms others by >10% on Div-300, KLD & more benchmarks. We also release 1-bit quants that retain 77% accuracy. Run on 8GB RAM. Blog: https://t.co/tHsBexyh2K GGUF: https://t.co/xIdNwm7CLQ

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

1.1M views 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

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 +

803.1K views 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 +

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

302.2K views 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

📊 Post performance

156.4K

Avg views / post

1.8×

Reach vs followers

Nov 2023

On X since

🔥 Top post: We’re releasing new Qwen3.8-27B GGUFs with 10% higher accuracy. · 1.2M views

📊 Activity & format

Posting cadence

3.2 / week

Posts several times a week.

Content mix

Mostly images

Recent: 2 video · 8 image · 0 text.

Follower / following

182×

Follows 479 back. A strong ratio — an audience that follows them, not a follow-for-follow network.

Verification

✓ X Premium

A paid X Premium (Blue) verified account.

Recent posts

View on X ↗

🔥 Top post We’re releasing new Qwen3.8-27B GGUFs with 10% higher accuracy. Unsloth Dynamic V3 outperforms others by >10% on Div-300, KLD & more benchmarks. We also release 1-bit quants that retain 77% accuracy. Run on 8GB RAM. Blog: https://t.co/tHsBexyh2K GGUF: https://t.co/xIdN… 1.2M❤ 5.2K🔁 840

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… 66.7K❤ 801🔁 129

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/NLgb3CMB… 222.6K❤ 1.9K🔁 312

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 302.2K❤ 1.7K🔁 305

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/L… 1.1M❤ 2.5K🔁 481

You can now fine-tune Qwen3.8-27B for free with our notebook! 🔥 Local training works on 24GB VRAM. Unsloth trains Qwen3.8-27B 1.5x faster with 50% less VRAM. GitHub: https://t.co/aZWYAtakBP Qwen3.8-27B Notebooks + Guide: https://t.co/3G… 156.4K❤ 2K🔁 309

Qwen3.8-27B Unsloth GGUF is now the #2 trending model on Hugging Face with 2.7M downloads! 💗 Unsloth also reached #3 trending on GitHub! Thanks so much for the love! Model: https://t.co/xIdNwm7CLQ GitHub: https://t.co/aZWYAtakBP 130.1K❤ 1.5K🔁 134

Qwen3.8-27B GGUF has reached 1,000 likes in less than 24 hours! ❤️ It's now the #3 trending model on Hugging Face with 1M overall downloads. Run on 17GB RAM/VRAM setups via Unsloth! Model: https://t.co/xIdNwm7CLQ GitHub: https://t.co/aZ… 55.9K❤ 1.5K🔁 160

▶ Share your results from Qwen3.8-27B! 👇 Here's 4-bit Qwen3.8-27B GGUF generating an interactive volcano simulation with geology, thermodynamics, fluid flow, buoyancy/drag, projectiles, cooling, groundwater interaction, and environmental ef… 70.6K❤ 845🔁 120

▶ 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… 803.1K❤ 4.8K🔁 904

💡 Facts

🗓️Joined X in 2023 — 2 years ago.

👁️Averages 156.4K views per post.

📤Posts about 3.2× per week.

💬3.03% engagement rate.

🏅Earned the 10K Followers for passing 10K followers.

🕵️ Fake follower check

Estimated

64/100

Good Credibility score

80%

Real Real audience

Low Fake-follower risk

High Data confidence

Est. 80% real, active audience · Low fake-follower risk.
Engagement (~1.8× of followers engage each post) is around typical for X.
Organic base — far more followers than accounts it follows.
Verified account.
3.03% engagement — below the ~18% typical for this size.

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

Train and run models locally! 🦥 https://github.com/unslothai/unsloth

📸 Gallery

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

Delt4 El inbaneable 15%

DigiLocker 15%

Call Me By Your Name 14%

XSplit 12%

Poynter 10%

Kollywood Cinima 10%

More like this

Frequently asked questions

How much does Unsloth AI charge for a sponsorship?

Unsloth AI hasn't published fixed prices yet. Send a proposal through SocialDB and agree terms directly — your payment is held in escrow until the work is approved.

How do I contact Unsloth AI for a brand deal or collaboration?

Send a paid deal or collab request right here on SocialDB — we notify Unsloth AI, and once they accept, your payment is held safely in escrow and released when the work is approved. You don't need to track down an email.

How many followers does Unsloth AI have?

Unsloth AI has 87,195 followers on X.

Auto-generated from X's public data — no affiliation with or endorsement by SocialDB. Is this you? Claim it · Remove

Unsloth AI✓ Add us as a preferred source on Google

Make a deal with Unsloth AI

Known for

📊 Post performance

📊 Activity & format

Recent posts

💡 Facts

🕵️ Fake follower check

About

📸 Gallery

🔀 Audience overlap

More like this

Frequently asked questions

✉ Message Unsloth AI

🎤 Event / appearance with Unsloth AI