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jaithree

jaithree
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AI & ML interests

[gemma]: Does it feel like you're building a personal "operating system" for thought? [me]: no, you are just a smart ass grep for thoughts

Recent Activity

reacted to sequelbox's post with 👍 19 minutes ago
NEW RELEASES for the new Muse Glimmer 30B! - Esper 4, our flagship agentic coder: specialist in coding, architecture, DevOps, and MLOps! - Tachibana-Agent, trained only on code for dedicated, predictable deployment! GET OUR NEW MODELS: https://huggingface.co/ValiantLabs/Muse-Glimmer-30B-Esper4 https://huggingface.co/sequelbox/Muse-Glimmer-30B-Tachibana-Agent Get the datasets for your own training: https://huggingface.co/datasets/sequelbox/Titanium4-DeepSeek-V4-Pro https://huggingface.co/datasets/sequelbox/Mitakihara2-DeepSeek-V4-Pro https://huggingface.co/datasets/sequelbox/Tachibana4-DeepSeek-V4-Pro We'll be expanding Esper 4 to more models and releasing new models as funding allows - donate for more, faster, better models and datasets: https://huggingface.co/spaces/sequelbox/SupportOpenSource Also, starting work on the SV4 datasets :) More to come soon! love, allegra
liked a model about 4 hours ago
Ateron/Gemma-4-Dark-Thoughts-V2-31B
reacted to maglun's post with 🔥 about 4 hours ago
Inspect model quantization in the browser, without download Curious how models on Hugging Face spend their "bit budget"? A few days ago I shared the first version of a little tool I built out of my own curiosity (and for fun). Since then, thanks in large part to great feedback from people here, a lot has changed. New in the last few days: - GGUF support - handy with all the new great GGUF quants - Decode for AWQ, GPTQ, NF4, mxfp4 packed experts, packed-int32, and additive-codebook formats - Improved comparison view for diffing two quants of the same model - Built-in anonymous report-issue button connecting a report to specific model - plus many small fixes After my first post I got great feedback from several community members, and some issues were fixed within hours. I'm planning an acknowledgments section on the site, and when you report an issue you get a receipt ID you can keep to claim credit later. (reports are anonymous by design; I store no identity, so the receipt hash works like a bearer token for your find) It's still very much a side project I hope others find useful. Explore any HF model in the browser without downloading it, the webpage reads from the safetensors header via a range request, and only tensors you click stream, and large ones are sampled, not downloaded in full. And there is a report button right in the tool when things don’t look right. Feedback very welcome, especially models that break it :) Or ideas on what is missing. https://tensorlens.dev (screenshot attached from viewing one of Unsloth's GGUF quants)
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