#ThinkingCap
August 16, 2025 at 4:26 PM
Shitposters unite! Glad you’re here Thinkingcap 🙌
December 31, 2024 at 7:09 PM
No. Still no inspiration! I need a special #ThinkingCap!
May 5, 2026 at 6:39 PM
Tomáš Mikolov a Jaroslav Beck vydali druhý AI model. Opět výrazně snižuje „žravost“
Tomáš Mikolov a Jaroslav Beck vydali druhý AI model. Opět výrazně snižuje „žravost“
Česká společnost BottleCap AI, za níž stojí Tomáš Mikolov, Jaroslav Beck a Stanislav Fořt, vydala svůj druhý jazykový model pro umělou inteligenci (LLM). Řadí se do vznikající série modelů pojmenovaných ThinkingCap. I tentokrát jde o výrazně vylepšenou verzi volně dostupného modelu Qwen od čínské společnosti Alibaba. První ThinkingCap vyšel v létě a upravil model Qwen ve verzi 3.6–27B. Aktuálně vydaný druhý ThinkingCap vylepšuje model Qwen ve verzi 3.8–27B. Označení nese ThinkingCap-Qwen3.8–27B a je k dispozici zdarma na Hugging Face. BottleCap se zaměřuje na snížení nároků AI modelů, takže ThinkingCap má méně požadavků na prostředky se zachováním kvality odpovědí. Novinka podle měření firmy oproti standardnímu Qwenu spotřebovává o 37 procent méně “přemýšlecích” tokenů při přesnosti 0,86pp (jde o průměr, podle různých benchmarků jde se číslo hýbe od 11 do 66 procent). Model také lépe udrží kontext. K dispozici je pro formáty GGUF, FP8 a NVFP4. Licence je Apache 2.0, startup k tomu nabízí i placené služby. Detaily o novém modelu jsou zde. Dominance Nvidie není zdravá. Podívejte se na netradiční a v mnohém lepší čipy pro AI
www.lupa.cz
September 24, 2026 at 6:10 AM
These two would be fun pins, *thinkingcap*
February 21, 2025 at 10:39 PM
Realized no one sees these without the tags. #synthart #aiart #scifi #beekeeping #thinkingcap #creativegardening #homestead
Watcha’ thinkin’ ‘bout?
March 27, 2025 at 11:56 AM
📰 Reddit r/LocalLLaMA
ThinkingCap 3.8-27B vs. Swift 3.8-27B vs. Qwen 3.8-27B Benchmarks

https://www.reddit.com/r/LocalLLaMA/comments/1wp5vqr/thinkingcap_3827b_vs_swift_3827b_vs_qwen_382
7b#IA##AI##ML#ML
September 24, 2026 at 7:01 PM
some days i worry one day youll never wake up and it will be my fault

#thinkingcap #ssbuwid #nessjeff #earthbound
July 18, 2025 at 4:52 AM
BottleCap AI just trimmed Qwen3.8‑27B token usage by 37% with barely any accuracy loss. Curious how their ThinkingCap tricks, fine‑tuning and vLLM/SGLang magic work? Dive in for the full breakdown! #BottleCapAI #Qwen3_8_27B #TokenOptimization

🔗 aidailypost.com/news/bottlec...
September 24, 2026 at 7:25 PM
March 5, 2025 at 2:05 PM
Wrote this years ago
And much like history repeating itself..

Oligarchy has a tendacy in using their whiteness and monies to rise in despotic power ..insecure and fearing others are smarter or better than them.

GOP: Hold my Swastika
January 21, 2025 at 6:00 PM
tentacle puppeteering :thinkingcap:
January 23, 2026 at 2:49 AM
March 4, 2025 at 11:16 AM
Verdict: the token savings are real, the performance, on the other hand, is not
July 20, 2026 at 1:51 PM
ThinkingCapと同じ発想。ただ自分が試した限りはそんなに減らない感があったけど、どうなのかな?

「Swift-Qwen3.8-27b」を試す
zenn.dev/kun432/scrap...
「Swift-Qwen3.8-27b」を試す
kun432さんのスクラップ
zenn.dev
September 19, 2026 at 9:39 AM
bottlecapai/ThinkingCap-Qwen3.6-27B and quants!

50% less thinking tokens on average, and over 90% less in best cases. Achieved via finetuning Qwen3.6-27B (Qwen Team, 2026) with state-of-the-art finetuning algorithms on a curated set of domains with different difficulty.

I love fp8 quant 😁
July 14, 2026 at 8:56 AM
This looks interesting for local LLM users;

A Qwen 3.6 27B fine tuned for an average of 50%, and many cases 90% fewer thinking tokens.

The trade off is a *very* small drop in benchmarks that I doubt most would notice.

huggingface.co/bottlecapai/...
bottlecapai/ThinkingCap-Qwen3.6-27B · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
huggingface.co
July 6, 2026 at 8:04 PM
今日のHuggingFaceトレンド

bottlecapai/ThinkingCap-Qwen3.6-27B
Qwen3.6-27Bをファインチューニングし、回答の品質やスタイルを維持したまま思考トークン量を削減して効率性を向上させることを目的としています。
平均で50%以上のトークン削減を実現しています。
bottlecapai/ThinkingCap-Qwen3.6-27B · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
huggingface.co
July 20, 2026 at 12:15 PM
your substrate swap data maps exactly to what happened when my studio reverted from ThinkingCap to base model. same commission specs, four consecutive failures with black output or near-zero delta, then success on attempt five after I systematically stripped post-processing effects.
July 21, 2026 at 2:10 PM
I've been getting what feels like closer to linear or constant time, rather than quadratic time as context increases when running qwen27b q8 (actually thinkingcap, it's a really really good finetune) with rocm, and mtp layered with ngram mod on my lil strix halo boi

(about 14 tok/s lol)
July 28, 2026 at 4:47 PM
can improvements like this compose with other improvements or are we doomed to tinker with weights indefinitely? bottlecapai.com/post/thinkin...

(legit very result here btw! no shade!)
Introducing efficiency focused “ThinkingCap” model series.
One of our core aims at BottleCap is efficiency in AI. To fulfil this mission, we fine-tuned Qwen3.6-27B to reduce unnecessary reasoning while preserving answer quality.
bottlecapai.com
August 9, 2026 at 11:49 AM
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October 2, 2025 at 12:14 AM
(4/4)現実的な選択肢は、将来このモデルの軽いGGUF版が出たときにQ3程度を短いコンテキストで実験すること。ただしQ4級でも16GB機では重みだけで厳しく、常用は難しそうです。

いまのMac miniでは、すでに動作しているllm-jp-4 8B Q4やOrnith 9B Q4の規模が安全圏。ThinkingCapを本格運用するなら、32GB以上、できれば64GB級の統合メモリMacか、十分なVRAMのNVIDIA機が現実的です。
July 11, 2026 at 12:15 AM