Tag: llama.cpp
-
The Register: <em>El Reg’s</em> essential guide to deploying LLMs in production
Source URL: https://www.theregister.com/2025/04/22/llm_production_guide/ Source: The Register Title: <em>El Reg’s</em> essential guide to deploying LLMs in production Feedly Summary: Running GenAI models is easy. Scaling them to thousands of users, not so much Hands On You can spin up a chatbot with Llama.cpp or Ollama in minutes, but scaling large language models to handle real workloads…
-
Docker: Run LLMs Locally with Docker: A Quickstart Guide to Model Runner
Source URL: https://www.docker.com/blog/run-llms-locally/ Source: Docker Title: Run LLMs Locally with Docker: A Quickstart Guide to Model Runner Feedly Summary: AI is quickly becoming a core part of modern applications, but running large language models (LLMs) locally can still be a pain. Between picking the right model, navigating hardware quirks, and optimizing for performance, it’s easy…
-
Hacker News: Heap-overflowing Llama.cpp to RCE
Source URL: https://retr0.blog/blog/llama-rpc-rce Source: Hacker News Title: Heap-overflowing Llama.cpp to RCE Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a detailed, technical exploration of exploiting a remote code execution vulnerability within the Llama.cpp framework, specifically focusing on a heap-overflow issue and its associated mitigations. It offers insights into the unique memory…
-
Hacker News: A Practical Guide to Running Local LLMs
Source URL: https://spin.atomicobject.com/running-local-llms/ Source: Hacker News Title: A Practical Guide to Running Local LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the intricacies of running local large language models (LLMs), emphasizing their applications in privacy-critical situations and the potential benefits of various tools like Ollama and Llama.cpp. It provides insights…
-
Hacker News: >8 token/s DeepSeek R1 671B Q4_K_M with 1~2 Arc A770 on Xeon
Source URL: https://github.com/intel/ipex-llm/blob/main/docs/mddocs/Quickstart/llamacpp_portable_zip_gpu_quickstart.md Source: Hacker News Title: >8 token/s DeepSeek R1 671B Q4_K_M with 1~2 Arc A770 on Xeon Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a comprehensive guide on using the llama.cpp portable zip to run AI models on Intel GPUs with IPEX-LLM, detailing setup requirements and configuration steps.…