vLLM ✓

@vllm_project · joined 30 Mar 2024

A high-throughput and memory-efficient inference and serving engine for LLMs. Join https://t.co/lxJ0SfX5pJ to discuss together with the community!

48 359Followers

36Following

1 268Posts total

261.2KViews on collected posts

Against accounts of the same size

6 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views25 968this account2 751median for 10K–100K

Reach, %53.70%this account9.00%median for 10K–100K

Engagement, %1.08%this account1.65%median for 10K–100K

Metric	This account	Median for 10K–100K	Ratio
Median views per post	25 968	2 751	9.44×
Reach (views ÷ followers)	53.70%	9.00%	5.97×
Engagement rate	1.08%	1.65%	0.65×

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

6.1K29 Aug

86.6K

15.3K30 Aug

101.4K1 Sep

33.2K

18.8K

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.34%29 Aug

0.58%

1.12%30 Aug

0.65%1 Sep

1.04%

1.58%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.65%.

What the audience does

Likes78.0%1 775 in total

Reposts6.6%150 in total

Replies4.5%103 in total

Quotes1.2%28 in total

Bookmarks9.7%221 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.

Latest posts

🎉 Congrats to @deepseek_ai on DeepSeek-V4-Flash-Vision-Exp, the first multimodal model in the V4 family! vLLM serves it now. A vision encoder and aligner on the 285B/13B V4-Flash MoE backbone, with text-agent scores holding steady. 🚀 🔗 https://t.co/sxl7k5w9rs https://t.co/X162S 18.8K views · 253 likes · 27 reposts · 16 replies 01 Sep 2026 🎉 Congrats to @SparkLLM on releasing Spark-X2.5-4B and 1.7B! Compact on-device agent models: 200+ languages, native 1M context. Both have day-0 vLLM support via Spark's out-of-tree general plugin. 33.2K views · 317 likes · 16 reposts · 10 replies 01 Sep 2026 🚀 SparkLLM open-sources Spark X2.5-4B & X2.5-1.7B — the only on-device models with native context up to 1,000,000 tokens. Hybrid-attention architecture, tuned for agents, code, math & instruction following. 🧵👇 101.4K views · 556 likes · 60 reposts · 25 replies 01 Sep 2026 We worked alongside @inferact and @FireworksAI_HQ on the investigation. 🔍 We share that bar for consistency. Credit to @FireworksAI_HQ for taking the extra time to verify, and to @Zai_org for the quick API update. 🎉 15.3K views · 136 likes · 19 reposts · 15 replies 30 Aug 2026 GLM-5.3-Flash is live on Fireworks on day… 2 Why? Because we take quality very seriously. We found a benchmark discrepancy we couldn’t explain, so we delayed the launch to investigate. Day 0 (Wed): we saw 2x longer thinking on reasoning-heavy benchmarks (AIME & GPQA) for op 86.6K views · 448 likes · 21 reposts · 28 replies 29 Aug 2026 On Tuesday, capping off a full day of speakers at the first vLLM Conference, the vLLM community gathered for a rooftop happy hour at sunset. The event hit capacity, and sunset over the city was a great backdrop. Thank you to @AMD and @inferact for co-hosting! More meetups to htt 6.1K views · 65 likes · 7 reposts · 9 replies 29 Aug 2026