CodeLlama
PulseAugur coverage of CodeLlama — every cluster mentioning CodeLlama across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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Best GPUs for Running Local Coding LLMs in 2026
For developers seeking to run coding Large Language Models (LLMs) locally, the choice of GPU is critical. The NVIDIA RTX 4090 with 24GB of VRAM is recommended for running advanced models like DeepSeek Coder 33B, offerin…
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Guide: Run LLMs Locally with Ollama in 5 Steps
This guide details how to set up and run Large Language Models (LLMs) locally using Ollama. The process involves five main steps: downloading and installing Ollama, selecting and downloading a specific LLM model like ll…
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AI tools advance code generation, UI design, and LLM inference
Several recent articles explore advancements and practical applications in AI for code generation and development workflows. One piece introduces Orthrus, a method for parallel token generation in LLMs that maintains ou…
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Open WebUI offers ChatGPT-like interface for local LLMs
Open WebUI is a new self-hosted interface designed to provide a ChatGPT-like experience for local large language models. It offers features such as document chat via RAG, image generation integration, voice input, and m…
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Guides detail local LLM setup with llama.cpp and Ollama
This series of guides details how to set up and run large language models (LLMs) locally on Linux systems. It covers framework comparisons, focusing on llama.cpp and Ollama, and provides step-by-step installation instru…
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Ollama VRAM Guide: 8GB for 7B models, 16GB for 13B, 24GB+ for 34B
This guide details Ollama's VRAM requirements for running various large language models in 2026. It explains that Ollama automatically quantizes models to fit available VRAM, but insufficient memory leads to slow CPU of…
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Hacker News commenters rank top coding models by performance
A recent analysis of Hacker News comments reveals that while models like GPT-4 and Claude 3 Opus are highly regarded for their coding capabilities, they are not perceived as the absolute state-of-the-art. Users frequent…
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New research tackles LLM factuality, safety, and complex task performance
Researchers are developing new methods to improve the reliability and safety of large language models (LLMs). Google Research introduced SLED, a decoding strategy that uses all LLM layers to enhance factual accuracy wit…
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LLMs advance code editing, generation, and bug detection with new techniques
Researchers are exploring various methods to enhance Large Language Models (LLMs) for code-related tasks. One study evaluates locally deployed LLMs like LLaMA 3.2 and Mistral for Python bug detection, finding they can i…