Victor M ✓
@victormustar · Paris, France · joined 27 Aug 2012
🤗 Head of Product @huggingface
30 639Followers
2 357Following
8 823Posts total
3.2MViews on collected posts
Latest posts
Looking for new posts…
@victormustar is this Pi?? 😂 https://t.co/YrRKAuIwga
868 views · 5 likes
· 0 reposts · 1 replies
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Introducing: a coding agent (Pi) running entirely in your browser using a 2B model on WebGPU 🤯
MiniCPM5-2B + Pi, powered by Transformers.js + WebGPU + 4-bit ONNX weights. All previous attempt to create this failed but MiniCPM5 seems to make it usable.
Available now on Hugging h
86K views · 1.2K likes
· 141 reposts · 71 replies
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0:23
@victormustar How you get this result? I prompted v4.1 to create 3d model of the car based on image and it returns this. https://t.co/0yleedE3CN
1.4K views · 8 likes
· 0 reposts · 9 replies
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@victormustar Do you think🐳can create a Blender clone?
782 views · 4 likes
· 0 reposts · 0 replies
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@victormustar You need to show us how you do this! 🙏
714 views · 3 likes
· 0 reposts · 0 replies
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DeepSeek V4.1 Flash can build a "mechanically accurate pickup truck" in Blender quite well - soon to be run 100% locally 👀
the 🐳 has shipped something really unique here 🫶 https://t.co/0cHL6wIvxI
64.1K views · 961 likes
· 65 reposts · 41 replies
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0:12
open source AI is unstoppable now 💛💚 https://t.co/3D99B0Xntp
6.3K views · 247 likes
· 13 reposts · 26 replies
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Is Qwen3.8-Flash-Next the current best open model with 128GB of unified memory?
(probably - looks extremely strong - I really need to try it this week :)) https://t.co/6MLyjykXd2
5.3K views · 44 likes
· 3 reposts · 10 replies
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Fable 5.1 on the Boeing 747 benchmark result - I think it's amazing and clearly better than 5.0 🔥
(sharing prompt and more details about the run below) https://t.co/XlCr34eJ61
11.7K views · 178 likes
· 10 reposts · 13 replies
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@victormustar loved the new ui, looks nice ദ്ദി(˵ •̀ ᴗ - ˵ ) ✧
71 views · 1 likes
· 0 reposts · 0 replies
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@victormustar I'm quite worried about the acquisition. Will it keep being the best place to write about ROCm, MLX, and whatnot?
78 views · 1 likes
· 0 reposts · 0 replies
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@victormustar articles hanging off the model page is such an obvious fix. stop making people hunt a blog for why a checkpoint exists
56 views · 0 likes
· 0 reposts · 0 replies
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Hugging Face is (also) the best place to write about AI.
> Your articles are now automatically linked from your model pages, so anyone looking at the model finds what you wrote about it.
> We shipped an improved UX to make writing, drafting and publishing better.
> We made it ht
17.4K views · 93 likes
· 11 reposts · 8 replies
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@victormustar It’s good but it’s far from great. Silly clickbait to call this “AGI”
(A five year old would know what the front should look like)
3.4K views · 24 likes
· 0 reposts · 2 replies
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and I thought opus 4.8 was good... what a fool
https://t.co/Fm8XNw8zAM
24.4K views · 45 likes
· 3 reposts · 1 replies
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Fable has done AGI-level job on on the Boeing 747 benchmark... it's almost scary 👀 https://t.co/MmrGy9yieb
2.7M views · 1.5K likes
· 81 reposts · 49 replies
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wow… 6 months later, Opus 4.8 nails the boeing747-using-THREEJS-primitives benchmark. Single prompt (in ultracode effort):
Built the geometry and a rig to screenshot the result from 9 angles, ran a critic per angle, debugged itself (a crash, then a wing-sweep bug that floated ht
268.1K views · 173 likes
· 16 reposts · 11 replies
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Against accounts of the same size
15 posts from the last 90 days, next to the 10K–100K follower range. shown to more people than peers of the same size.
Median views3 180this account924median for 10K–100K
Reach, %10.38%this account3.62%median for 10K–100K
Engagement, %1.28%this account1.52%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 3 180 | 924 | 3.44× |
| Reach (views ÷ followers) | 10.38% | 3.62% | 2.87× |
| Engagement rate | 1.28% | 1.52% | 0.84× |
Others in this range → Compare with another account → How these benchmarks are built →
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
561 Sep
78
71
11.7K
5.3K2 Sep
3.2K
6.3K3 Sep
64.1K13 Sep
714
782
1.4K
86K15 Sep
5.7K
868
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.00%1 Sep
1.28%
1.41%
1.72%
1.08%2 Sep
1.38%
4.66%3 Sep
1.66%13 Sep
0.42%
0.51%
1.18%
1.72%15 Sep
1.37%
0.69%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes63.2%4 652 in total
Reposts4.8%352 in total
Replies3.4%254 in total
Quotes1.2%88 in total
Bookmarks27.4%2 018 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.
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