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NFTCID

NFTCID
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liked a model 24 days ago
LiquidAI/LFM2.5-VL-450M
reacted to Crownelius's post with 👍 29 days ago
[DAY ONE] PROJECT CROWFEATHER 4/30/2026 ...The day I forgot to attach wandb.ai Just dropped Crowfeather-50m, the first checkpoint in a series, and yeah, no graphs. https://huggingface.co/Crowfeather/Crowfeather-50m 54.5M params. Pretrain only. 17,500 steps banked on FineWeb-edu before Thunder credits ran dry. About 2.3B tokens, no SFT yet. Architecture: Gemma-4 alternating sliding/global attention (1024 window, last layer always global) plus DeepSeek-V4 Muon optimizer plus WSD scheduler plus Gemma-2 logit soft-cap plus PaLM z-loss. Recipe in the model card. What it can do: writes grammatical English. Knows that France has Rhine-adjacent monasteries (it picked Rouen instead of Paris but the vocabulary is in there). Tells stories about Mr. Fabien. What it can't do yet: facts, code, math. Base LM, no SFT, no instruction tuning. The series: Every additional training run becomes another model card here Every model card gets a matching post on this profile Continuation goes to Colab next, picking up from step 17500 out of 100k Limited to one post a day on Hugging Face, so updates will trickle out at that pace. Follow [@Crownelius](https://huggingface.co/Crownelius) and [@Crowfeather](https://huggingface.co/Crowfeather) if you want to watch this thing learn in public. Next drop will either come with the finished pre-train or whatever step I land on before the bank takes my credit card away. Graphs will be available on my NEXT model lol -Shane
reacted to sequelbox's post with 👀 29 days ago
EARLY SNEAK PREVIEW of our first DeepSeek-V4-Pro dataset, Tachibana 4! Tachibana 4 is our upcoming agentic coding dataset: - Questions prioritize real-world, challenging agentic coding tasks across a variety of programming languages and topics. - Areas of focus include back-end and front-end development, systems programming, distributed systems, performance optimization, data structures, databases and data engineering, game and mobile development, security engineering, compiler design, custom tooling, task automation, practical bugfixes, and more! - A wide variety of emphasized languages improves development capability: Python, C, C++, C#, Go, TypeScript, Java, JavaScript, Rust, Haskell, SQL, Shell, R, Ruby, assembly code, and more! - Synthethic prompts utilize a variety of personas, experience levels, and styles of communication to maximize real-world flexibility and usability. Get it now: https://huggingface.co/datasets/sequelbox/Tachibana4-DeepSeek-V4-Pro-PREVIEW These agentic datasets will power the upcoming Esper 4, and whatever you can build! We'll have more finetunes on the way as well! :) we're going to make open source better and better for your work! If you would like to see Esper 4 and these datasets faster, this is the best way you can help us: https://huggingface.co/spaces/sequelbox/SupportOpenSource for freedom, with love, allegra
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