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Meta AI Unveils Llama 3.0 Open‑Source Model, 70B Parameters

This story is from 2026-09-10. It is preserved in the archive; the latest stories are on the live feed.

Meta AI Unveils Llama 3.0 Open‑Source Model, 70B Parameters Meta AI announced on July 10, 2024 the release of Llama 3.0, a new open‑source large language model (LLM) that scales to 70 billion parameters. The model is available under a permissive Apache 2.0 license and comes with pre‑trained checkpo…

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  1. 2026-09-10 22:15 · DEV Community — AI
    Meta AI Unveils Llama 3.0 Open‑Source Model, 70B Parameters

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  1. Qwen3.8-Flash-Next-Heretic2-IQ4XS on Halogen Flash Server vs llama-server on Strix Halo: 2.3-7.7x prefill speedup with half the VRAM (+ vision works on BYO GGUF) — r/LocalLLM
  2. M2 Mac ultra128gb Qwen flash next — r/LocalLLM
  3. Multi-hour llama.cpp optimization experiments on Qwen MoE models, patches, benchmarks, and reproduction guides — r/LocalLLM
  4. I benchmarked 13 model/quant configs on a GPU with no tensor cores (Vega iGPU + Vulkan) and wrote it up as a measurement study — the quant encoding suffix matters more than you'd think — r/LocalLLM
  5. M1 Max 32GB, trying to run Qwen 3.8 27B at decent speeds and context — r/LocalLLaMA
  6. I turned an asymetric pair of Tesla V100s PCIe both (16 GB + 32 GB) into a surprisingly capable local LLM lab — 1.38k prompt tok/s, 40 decode tok/s with qwen3.8 27B Q6 and Q8... — r/LocalLLaMA
  7. [Guide / Weights] Qwen 3.8 27B on Intel Arc: Why IQ quants crawl at 8 tok/s, why Q4_K outpaces sub-4bpw on Battlemage, and clean RCO GGUFs (16GB & 24GB) — r/LocalLLM
  8. My Version of Jev running locally, playing doom. — r/LocalLLM

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