
Local LLMを中心に、AI技術系の投稿とネタツイ Tesla v100 32GB×2枚と共に生きる。 最近はFlash Nextちゃんと遊んでいます アイコンは羊野郎さん@maton_3110
Qwen3.8 27Bから浮気中
Joined August 2019
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完成!!!!!
僕のVRAM 64GB ヘッドレスAIマシンです!!
マザボ:ASUS Z170-A
CPU: intel core i7 6700k
GPU: Nvidia v100 32GB + PG500-216 32GB
RAM: corsair ddr4 3200mhz 32gb
PSU: CGR GDN-850
SSD: Fanxiang S501 512GB
総額25万円弱でした
なお、メモリは去年買ったので今この構成作るともっと高いかも。
Ryu retweeted
Hy-SimulMT is now open source! 🚀
Tencent HY’s real-time Chinese ↔ English Simultaneous Interpreting Model.
Key features:
⚡ Low latency (~3s)
🎯 High accuracy
🎙️ Real-time voice cloning
🏆 Outperforms most open-source models and commercial APIs
Download, try, and build with it! 👇:
Hugging Face: huggingface.co/collections/t…
ModelScope: modelscope.cn/collections/Te…
GitHub: github.com/Tencent-Hunyuan/H…
Ryu retweeted
Nanbeige4.3-33B is here with 512K context and strong agentic performance in a 33B dense model.
🤖 modelscope.ai/models/nanbeig…
🏆 SOTA agentic performance at the 30B scale: Nanbeige4.3-33B leads most benchmarks in the team’s comparison with open models including Qwen3.8-27B, Muse-Glimmer-30B, and Gemma4-31B.
💻 Agentic coding: Scores 80.9 on Terminal-Bench 2.1 and 65.5 on DeepSWE, compared with 73.0 and 42.5 for Qwen3.8-27B.
🧰 Professional workflows: Reaches 54.2 on Automation Bench and 44.8 on JobBench, covering tasks across tools, occupations, and industries.
🧠 Flexible reasoning and tool use: Switch between thinking and non-thinking modes, and retain previous reasoning for multi-turn agent workflows.
🔬 A teacher for smaller agents: Nanbeige4.3-33B is the flagship teacher model for the team’s planned distillation into smaller models.
📜 Apache 2.0. Supports Transformers, SGLang, and vLLM.
これ、超当たり前だけど知能って別にテキストである必要ないのか
そもそもテキストが人間の思考形式とはまるで別物だし、範囲を広げればいくらでも作れそうだな?
それこそLLM内部表現とかの話はなぜか当たり前に受け入れてたけど、
音声だけで思考、画像だけで思考みたいなのって出力形式が対人間になればいくらでも実現可能ってことだな
つまり、“LLMを介さずに”画像生成や動画生成のAIと筆談で疎通するとかも...
筆談AIの記憶はキャンバス内のメモゾーンに描いておき、情報更新のたびに消して書き直す。
↑これできたらめっちゃおもろそう
Ryu retweeted
Maya's KV streaming trick is 5 head
Old limit was long conversations would just fill vram
Their fix was to keep conversation history in RAM and only a recent windows in VRAM
Result = 1M context fits a single 3090
github.com/mw00/project-maya
忘れてた112コミットをリリース...!
まだβテストです 引き続きissueや改善点などぜひお願いします
github.com/kuraneko1/dsh-mob…
Ryu retweeted
ギガチャドQwenカピバラくんでワロタ
People are on the hunt for an alternative to Qwen 3.6 35B A3B.
Here's a list of quite fresh models you could test, this is my to do list and it constantly grows, all the models I want to test out which are in that rage, many of them are very recent.
So far Tiel Coder and Ornith 1.5 35B from @ornith_ are the best Qwen 3.6 alternatives I've tried but as you see the list is quite long so there's a chance you find something interesting there.
I will be testing them all in real app building mostly as 4bit or 6bit anyway.
> Flint 40B A2.5B from @Recursive_SI : huggingface.co/RecursiveSI/f…
> Raon-1 mini 30B A4B from @Krafton_AI : huggingface.co/KRAFTON/Raon-…
> Sage-A1.5 35B A3B :huggingface.co/InternScience…
> MiniCPM-V 4.7 35B A3B from @OpenBMB : huggingface.co/openbmb/MiniC…
>LFM2.5 24B A2B from @liquidai : huggingface.co/LiquidAI/LFM2…
> Apodex 1.1 mini 35B A3B from @Apodex_AI : huggingface.co/apodex/Apodex…
> K2 Horizon 36B A4B from @IFM_AI : huggingface.co/IFM/K2-Horizo…
> Xing 4.0 29B A4B from Xing Chen AGI : huggingface.co/XingChen-AGI/…
>Nex N2.5 Mini 35B from @NexEcosystem : huggingface.co/nex-agi/Nex-N…
> Bigbang v1 35B A3B from @EFrontierLabs : huggingface.co/endless-front…
Ryu retweeted
contributorsとしてチマチマやってます
めちゃくちゃイイですこのプラグイン
このせいで僕のこのプロジェクトがいらない子になりました
github.com/AliceSaikawa/dsh-…
Replying to @_ryu15_
Ryu retweeted
めちゃくちゃ使いやすくなって感動してる…
DshのWebUIにスマホで接続してる方は本当におすすめ
github.com/kuraneko1/dsh-mob…
Ryuさん(@_ryu15_ )に深く感謝( ᴗ ᴗ)⁾⁾
























