Hugging Face's logo
DICKSON's picture

DICKSON

dicksondickson
16 5 17
Jovie's profile picture
·
https://dicksonchow.com/

AI & ML interests

Local AI

Recent Activity

reacted to eaddario's post with 🔥 1 day ago
Experimental global target bits‑per‑weight quantization of openbmb/MiniCPM5-1B and openbmb/MiniCPM5-2B. Unlike standard llama.cpp quantization that rely on fixed type heuristics (e.g., Q4_K_M), the Target BPW approach automatically optimizes per-tensor precision where it matters the most, and produces high quality models that meet a precise global 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, GPQA, MMLU, etc.) and methodology in the model's card. https://huggingface.co/eaddario/MiniCPM5-1B-GGUF https://huggingface.co/eaddario/MiniCPM5-2B-GGUF
new activity 3 days ago
garnermccloud/Qwen3.8-Flash-Next-MLX-SSD-Stream:Can I use this model with mainline mlx-serve?
liked a model 5 days ago
antirez/deepseek-v4.1-flash-gguf
View all activity

Organizations

None yet