Hackernews posts about LLaMA

LLaMA is an AI model developed by Facebook that generates human-like text responses to user input.

1. Quantized Llama models with increased speed and a reduced memory footprint (ai.meta.com)
   508 points by egnehots 28 days ago | 122 comments
2. Llama 3.1 405B now runs at 969 tokens/s on Cerebras Inference (cerebras.ai)
   425 points by benchmarkist 3 days ago | 155 comments
3. Llama-OCR: Document to Markdown (llamaocr.com)
   293 points by lapnect 5 days ago | 96 comments
4. Ollama 0.4 is released with support for Meta's Llama 3.2 Vision models locally (ollama.com)
   182 points by BUFU 15 days ago | 25 comments
5. Cerebras Inference now 3x faster: Llama3.1-70B breaks 2,100 tokens/s (cerebras.ai)
   147 points by campers 27 days ago | 84 comments
6. Go library for in-process vector search and embeddings with llama.cpp (github.com)
   114 points by kelindar 24 days ago | 29 comments
7. Show HN: LlamaPReview – AI GitHub PR reviewer that learns your codebase (github.com)
   102 points by Jet_Xu 22 days ago | 42 comments
8. Cerebras Trains Llama Models to Leap over GPUs (www.nextplatform.com)
   64 points by rbanffy 26 days ago | 33 comments
9. HuggingFace - Tencent launches Hunyuan Large which outperforms Llama 3.1 405B (huggingface.co)
   23 points by janik-io 16 days ago | 1 comments
10. Nvidia presents Llama-Mesh: Generating 3D Mesh with Llama 3.1 8B (research.nvidia.com)
    20 points by BUFU 4 days ago | 1 comments
11. LlamaChunk: Better RAG Chunking Than LlamaIndex (github.com)
    15 points by npip99 6 days ago | 5 comments
12. Chinese researchers develop AI model for military use on back of Meta's Llama (www.reuters.com)
    11 points by fnordpiglet 20 days ago | 1 comments
13. Meta is using more than 100k Nvidia H100 AI GPUs to train Llama-4 (www.tomshardware.com)
    8 points by turtlegrids 19 days ago | 1 comments
14. Scaling Automatic Neuron Description (Describing Every Neuron in Llama 3) (transluce.org)
    8 points by ekzhang 29 days ago | 1 comments
15. Defense Llama: The LLM Purpose-Built for American National Security (scale.com)
    8 points by ushakov 16 days ago | discuss
16. Cerebras runs Llama 3.1 70B at 2,100 tokens per second, live demo available (twitter.com)
    6 points by modeless 28 days ago | discuss
17. Cerebras Inference now runs Llama 3.1-70B at 2100 tokens/s (cerebras.ai)
    6 points by cs-fan-101 28 days ago | discuss
18. Chinese researchers develop AI model for military use on back of Meta's Llama (www.reuters.com)
    5 points by consumer451 19 days ago | 1 comments
19. Pdf-extract-API – OCR with marker-pdf and transform with Llama – single API call (github.com)
    5 points by pkarwatka 23 days ago | 1 comments
20. Meta to let US national security agencies and defense contractors use Llama AI (www.theguardian.com)
    5 points by c420 16 days ago | discuss
21. Chinese researchers build military AI using Meta's open-source Llama model (www.tomshardware.com)
    5 points by AnhTho_FR 17 days ago | discuss
22. Llama-Mesh: Unifying 3D Mesh Generation with Language Models (research.nvidia.com)
    4 points by lnyan 6 days ago | discuss
23. Show HN: Fast and Cheap Llama-405B (centml.ai)
    4 points by akbarnur 17 days ago | discuss
24. LLama3.2-vision as almost perfect OCR? (demo.doctractor.com)
    3 points by pkarwatka 3 days ago | 1 comments
25. Chat with Llama 3.1 8B (yosunai.com)
    3 points by vijayst 5 days ago | 1 comments
26. PRC Adapts Meta's Llama for Military and Security AI Applications (jamestown.org)
    3 points by IndrekR 16 days ago | discuss
27. Help needed to improve Haskell port of Andrej Karpathy's llama2.c (github.com)
    3 points by CertumIter 24 days ago | discuss
28. Llama 405B up to 142 tok/s on Nvidia H200 SXM (old.reddit.com)
    2 points by avianion 24 days ago | 1 comments
29. Show HN: LlamaPReview – AI code reviewer trusted by 2000 repos, 40%+ effective (jetxu-llm.github.io)
    2 points by Jet_Xu 2 days ago | discuss
30. CurlDuck, curl script for DuckDuckGo LLMs like Llama3 (github.com)
    2 points by zoobab 4 days ago | discuss