Unsloth AI✓ Add us as a preferred source on Google
🔄 Data last refreshed 2 months ago
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Make a deal with Unsloth AI
👋 Unclaimed listing — auto-generated from public data; rates are estimates, not set by the creator. 🔒 Paid proposals held safely in escrow — released only when the work's approved.
👤Unclaimed listing
Auto-generated from Unsloth AI’s publicly available X info.
Unsloth AI hasn’t claimed, verified, or endorsed it, and is not affiliated with, sponsored by, or a partner of SocialDB. Any rates shown are estimates, not set by the creator.
Followers
87.2K
Posts
722
Following
479
Account age
2 yrs
💰 Suggested sponsorship rate
$488 – $793 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🎁 Free analysisfor Unsloth AI
Known for
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
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
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 +
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
Recent posts · views
Aug 11latest
156.4K
Avg views / post
70.6K–803.1K
Typical post (views)
1.8×
Reach vs followers
54/100
Consistent reach
Nov 2023
On X since
Half of recent posts land between 70.6K and 803.1K views (median 222.6K) — a dependable floor a sponsored post can count on.
🔥 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…
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…
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…
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
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…
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…
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
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…
▶
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…
▶
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…
💡 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
Estimated64/100
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 ~8.8% 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
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
Lenia Batres
16%
Call Me By Your Name
14%
XSplit
12%
Poynter
10%
Kollywood Cinima
10%
Devin Hayes
10%
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Find more →
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.
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Unsloth AI isn't on SocialDB yet
Unsloth AI hasn't claimed this listing yet, so they can't accept sponsorships, collabs or other deals here. The prices shown are estimates.
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