repoGitHubTrust 82 · PrimaryPublished 6d agoLive · 6d ago
luojieLLMaaS/haxiv
Deep learning framework for LLMs (Llama/Gemma/Qwen) on CPU, Apple MLX, Metal, CUDA. Load PyTorch/ONNX/TF/GGUF with zero conversion. PyTorch alternative with native Apple Silicon, ONNX Runtime alternative with autograd, llama.cpp alternative with backprop. FlashAttention, tensor parallel, INT4 quant.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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newsInstead of decentralized training effort we should build the “One dataset”newsOpenAI and Broadcom announce chip designed for LLM inference at scalenewsH64LM: A 249M-parameter Mixture-of-Experts Transformer built from scratch in PyTorch [P]newsOpenAI and Broadcom unveil LLM-optimized inference chipnewsHow're you deploying LLMs in production now-a-days? What's the best and most affordable way? [D]
Related across the graph
newsOpenAI and Broadcom announce chip designed for LLM inference at scalenewsOpenAI and Broadcom unveil LLM-optimized inference chipnewsHow're you deploying LLMs in production now-a-days? What's the best and most affordable way? [D]newsH64LM: A 249M-parameter Mixture-of-Experts Transformer built from scratch in PyTorch [P]newsInstead of decentralized training effort we should build the “One dataset”
