✳flâneur — a map of the web's best reading
Predict Memory - a Hugging Face Space by nanotron
huggingface.co · 22 words · saved by 1 readers
You can paste a YAML or JSON model configuration or fill in the parameters manually. The app calculates the total number of parameters, estimates memory consumption for each component, and predicts...
Predict Memory - a Hugging Face Space by nanotron nanotron / predict_memory like 111 Fetching metadata from the HF Docker repository... Refreshing
Explore this link on the map →related reading
- The Ultra-Scale Playbook - a Hugging Face Space by nanotronhuggingface.co
- LLM Visualizationbbycroft.net
- AI Model & API Providers Analysis | Artificial Analysisartificialanalysis.ai
- GitHub - brexhq/prompt-engineering: Tips and tricks for working with Large Language Models like OpenAI's GPT-4. · GitHubgithub.com
- Branches · HazyResearch/intelligence-per-watt · GitHubgithub.com
- Perplexityperplexity.ai
- GitHub - mem0ai/mem0: Universal memory layer for AI Agents · GitHubgithub.com
- GitHub - getmetal/motorhead: 🧠 Motorhead is a memory and information retrieval server for LLMs. · GitHubgithub.com
- Parsed | Custom, interpretable AI systems that continuously learnparsed.com
- GitHub - x1xhlol/system-prompts-and-models-of-ai-tools: FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Tragithub.com
- GitHub - ccusage/ccusage: npx ccusage · GitHubgithub.com
- GitHub - google-research/tuning_playbook: A playbook for systematically maximizing the performance of deep learning models. · GitHubgithub.com