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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.

DigiLocker 15%

Call Me By Your Name 14%

True Facts by Ze Frank 13%

XSplit 12%

Poynter 10%

Kollywood Cinima 10%

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True Facts by Ze Frank

@zefrank

87.2K Followers

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Unsloth AI has 87,195 followers on X.

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Known for

📊 Post performance

📊 Activity & format

Recent posts

💡 Facts

🕵️ Fake follower check

About

📸 Gallery

🔀 Audience overlap

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