Hugging Face's logo
John Smith's picture
In a Training Loop 🔄
525 2293 27709

John Smith PRO

John6666
ReallyFloppyPenguin's profile picture KarthikChittoor's profile picture Ultronprime's profile picture
·

AI & ML interests

None yet

Recent Activity

reacted to eaddario's post with ❤️ about 9 hours ago
Experimental global target bits‑per‑weight quantization of ServiceNow-AI/Apriel-1.6-15b-Thinker and zai-org/GLM-4.6V-Flash Unlike standard llama.cpp quantizations that rely on fixed type heuristics (e.g., Q4_K_M), the Target BPW approach optimizes per-tensor precision where it matters the most, and produces high quality models that meet a precise global file size target. Key Advantages: - VRAM Maximization: Can generate high quality models sized exactly to fit hardware constraints (e.g., fitting the model into exactly 24GB VRAM). - Data-Driven Precision: Quantization mix is determined by actual weight error sensitivity rather than hardcoded rules, often yielding better PPL/KLD size trade-offs. Full benchmarks (PPL, KLD, ARC, MMLU, etc.) and methodology in the models' cards https://huggingface.co/eaddario/Apriel-1.6-15b-Thinker-GGUF https://huggingface.co/eaddario/GLM-4.6V-Flash-GGUF
upvoted a collection about 9 hours ago
Arabic Speech Datasets
reacted to MohamedRashad's post with ❤️ about 9 hours ago
I have update my https://huggingface.co/collections/MohamedRashad/arabic-speech-datasets with new datasets, making the full audio data more than 3000 hours of good arabic speech. Feel Free to use it in your new innovations, And happy new year!
View all activity

Organizations

Glide's profile picture open/ acc's profile picture Solving Real World Problems's profile picture FashionStash Group meeting's profile picture No More Copyright's profile picture XORTRON - Criminal Computing's profile picture