Hackernews posts about Llama 3

Llama 3 is an AI-powered chatbot that uses pure NumPy to generate human-like conversations in a browser-based interface.

1. Second Brain – A free, invisible AI interview copilot (Groq and Llama 3) (github.com)
   3 points by hi2brain 2 days ago | discuss
2. Show HN: Thaw – Git branch for a running LLM (fork agents, skip prefill) (github.com)
   3 points by nilsmatteson 23 days ago | discuss
3. Show HN: PyTorch on Java (github.com)
   2 points by pdsminer 11 days ago | discuss
4. Show HN: Language1 – Benchmarking LLM comprehension of vague prompts via Taboo (language1.app)
   1 points by kaandemirel 5 days ago | discuss
5. Show HN: EzziwebTools – A collection of 30 free tools (ezziwebtools.com)
   1 points by Ezzymd 12 days ago | discuss
6. Ollama v0.30.0-rc23: "directly support llama.cpp" & "compatibility with GGUF" (github.com)
   3 points by theanonymousone 28 days ago | discuss
7. Show HN: Best setup local LLM found for a 5090 (llama.cpp fork + turboquant) (local-llm.utop.workers.dev)
   2 points by utopman 16 days ago | 2 comments
8. The AI Conundrum: We are living in highly subsidized, interesting times
   10 points by pyeri 1 day ago | 1 comments
9. Show HN: Selora – local model for Home Assistant (github.com)
   7 points by bayshark 5 days ago | 4 comments
10. Ask HN: What are some good/fast coding models for Apple Silicon?
    2 points by LoganDark 7 days ago | 3 comments
11. Offres D'emploi EN RDC – Disponibles Sur Kivuhub Emplois (Kivuhub.net) June 2026
    1 points by kivuhub 18 days ago | discuss
12. Show HN: I am running 3 coding agents non-stop over the last 3 days. Here is how
    10 points by sermakarevich 9 days ago | 3 comments
13. I Replaced My AI Agent's Flat Fact Store with a Graph Database
    10 points by grawl_dorgiers 20 days ago | 4 comments
14. Show HN: Scholar Sidekick – citation verifier for the "real DOI, wrong paper" (scholar-sidekick.com)
    2 points by ProductivePhys 20 days ago | 3 comments
15. Hybrid local and cloud LLM stack for regulated financial document processing?
    2 points by rem_cam 24 days ago | 2 comments
16. Show HN: Matrix Engine WGPU – focus on mobile] (maximumroulette.com)
    1 points by zla 5 days ago | discuss
17. Llama 3.2: Revolutionizing edge AI and vision with open, customizable models (ai.meta.com)
    924 points by nmwnmw over 1 year ago | 328 comments
18. Show HN: Llama 3.2 Interpretability with Sparse Autoencoders (github.com)
    579 points by PaulPauls over 1 year ago | 99 comments
19. Llama 3.1 (llama.meta.com)
    437 points by luiscosio almost 2 years ago | 269 comments
20. Llama 3.1 405B now runs at 969 tokens/s on Cerebras Inference (cerebras.ai)
    427 points by benchmarkist over 1 year ago | 156 comments
21. Llama-3.3-70B-Instruct (huggingface.co)
    425 points by pr337h4m over 1 year ago | 219 comments
22. Show HN: Llama 3.1 70B on a single RTX 3090 via NVMe-to-GPU bypassing the CPU (github.com)
    395 points by xaskasdf 4 months ago | 101 comments
23. g1: Using Llama-3.1 70B on Groq to create o1-like reasoning chains (github.com)
    334 points by gfortaine almost 2 years ago | 148 comments
24. Llama 3.1 Omni Model (github.com)
    304 points by taikon almost 2 years ago | 41 comments
25. DeepDive in everything of Llama3: revealing detailed insights and implementation (github.com)
    222 points by therealoliver over 1 year ago | 14 comments
26. I Self-Hosted Llama 3.2 with Coolify on My Home Server (geek.sg)
    221 points by whitefables over 1 year ago | 90 comments
27. Llama 3.1 in C (github.com)
    212 points by AMICABoard almost 2 years ago | 36 comments
28. Show HN: Llama 3.3 70B Sparse Autoencoders with API access (www.goodfire.ai)
    201 points by trq_ over 1 year ago | 51 comments
29. Meta's Llama 3.1 can recall 42 percent of the first Harry Potter book (www.understandingai.org)
    191 points by aspenmayer about 1 year ago | 305 comments
30. Show HN: Tune LLaMa3.1 on Google Cloud TPUs (github.com)
    189 points by felarof almost 2 years ago | 52 comments
31. Ollama 0.4 is released with support for Meta's Llama 3.2 Vision models locally (ollama.com)
    182 points by BUFU over 1 year ago | 25 comments
32. Implementing LLaMA3 in 100 Lines of Pure Jax (saurabhalone.com)
    167 points by jxmorris12 over 1 year ago | 22 comments
33. Longwriter – Increase llama3.1 output to 10k words (github.com)
    154 points by taikon over 1 year ago | 29 comments
34. Cerebras Inference now 3x faster: Llama3.1-70B breaks 2,100 tokens/s (cerebras.ai)
    147 points by campers over 1 year ago | 84 comments
35. Hermes 3: The First Fine-Tuned Llama 3.1 405B Model (lambdalabs.com)
    146 points by mkaic almost 2 years ago | 67 comments
36. Cerebras launches inference for Llama 3.1; benchmarked at 1846 tokens/s on 8B (twitter.com)
    95 points by _micah_h almost 2 years ago | 42 comments
37. Llama 3.2 released: Multimodal, 1B to 90B sizes (www.llama.com)
    89 points by modeless over 1 year ago | 19 comments
38. Karpathy/Nano-Llama31 (github.com)
    74 points by tim_sw almost 2 years ago | 1 comments
39. How to Run Llama 3 405B on Home Devices? Build AI Cluster (b4rtaz.medium.com)
    71 points by b4rtazz almost 2 years ago | 26 comments
40. Why Llama 3.1 is Important (timkellogg.me)
    56 points by tkellogg almost 2 years ago | 23 comments
41. How to Fine-Tune Llama 3 for Customer Service (symbl.ai)
    50 points by makaimc almost 2 years ago | 2 comments
42. GPU-accelerated Llama3.java inference in pure Java using TornadoVM (github.com)
    48 points by pjmlp about 1 year ago | discuss
43. Llama-3.1 supports tool calls via prompting (www.braintrust.dev)
    35 points by ankrgyl almost 2 years ago | 4 comments
44. Meta's Llama 3.1 can recall 42 percent of the first Harry Potter book (www.understandingai.org)
    35 points by zdw about 1 year ago | 1 comments
45. Coding with Llama 3.1, New DeepSeek Coder and Mistral Large (aider.chat)
    32 points by anotherpaulg almost 2 years ago | 7 comments
46. Meta releases an open-weights GPT-4-level AI model, Llama 3.1 405B (arstechnica.com)
    32 points by davoneus almost 2 years ago | 3 comments