Local LLMs

Self-hosted, privacy-first inference · 38 articles

Self-hosted inference, GGUF / llama.cpp, Ollama, hardware setups and privacy-first AI stacks.

Local LLMsAug 29, 2026 2 min read

Custom llama.cpp Fork Brings KV Cache Streaming for Qwen 3.8 27B to 16GB GPUs

A specialized fork of llama.cpp introduces key-value cache streaming, enabling developers to run Qwen 3.8 27B at extended context sizes on consumer GPUs with 16GB VRAM. This reduces VRAM overhead during long-context local inference.

Why it matters

You can now run larger local models like Qwen 3.8 27B with multi-thousand token contexts on standard mid-tier hardware without running out of GPU memory.

Open full story

Local LLMsAug 26, 2026 2 min read

Apple Unveils M5 Ultra Mac Studio with 512GB RAM for Local LLMs

Apple introduced updated Mac Studio and Mac mini desktops featuring M5 Ultra and M6 chips. Offering up to 512GB of unified memory and 1.2TB/s bandwidth, the hardware targets developers running large open-weights models locally via MLX.

Why it matters

You can run 70B+ parameter open-weight models completely locally on a single desktop without cloud token fees or server cluster overhead.

Open full story

Local LLMsAug 23, 2026 2 min read

Daimon: Local Proxy Redacts Sensitive Prompts Before External Large Language Model Inference

Daimon is an open-source local proxy that intercepts LLM requests to sanitize credentials and private identifiers before sending them to external providers. Once the remote response returns, Daimon restores the original local data automatically.

Why it matters

You can now leverage cloud models like OpenAI Codex while preventing API keys, passwords, and internal identifiers from leaking over network requests.

Open full story

Open slot

One sponsor per issue

A single native, clearly labelled placement in front of engineers who build with AI, backed by transparent numbers.

Claim the slot

Local LLMsAug 19, 2026 2 min read

Liquid AI Releases LFM2.5 Q4_0 GGUF Models Using Quantization-Aware Distillation

Liquid AI has released Q4_0 GGUF 4-bit checkpoints for its LFM2.5 model series, trained using Quantization-Aware Distillation. These models recover up to 97% of accuracy lost to traditional quantization while maintaining native 4-bit speeds.

Why it matters

Developers can now run highly accurate, lightweight LFM2.5 models locally with minimal memory footprint and zero speed degradation.

Open full story

Local LLMsAug 18, 2026 2 min read

Classifying Local Maildirs with Ollama and Open Interpreter

A practical workflow demonstrates how to run local LLMs in Docker via Ollama to categorize thousands of local email files without cloud API costs or data privacy risks. Using Open Interpreter and custom Python scripts, the dual-pass pipeline processed 8,000 Maildir messages efficiently on an Nvidia RTX 4070.

Why it matters

Engineers can automate bulk local file triage without exposing sensitive personal or corporate data to external model APIs.

Open full story

Local LLMsAug 18, 2026 2 min read

Qwen 3.8 27B Matches GPT-5.6 Luna Score on Artificial Analysis Index

Qwen 3.8 27B scored 52 on the Artificial Analysis Intelligence Index, matching GPT-5.6 Luna (max) and trailing 1.7T parameter models by a single point. Developers can now leverage compact 27B parameter models for local frontier-grade reasoning tasks.

Why it matters

Engineers can run a compact 27B model locally on single-GPU hardware while reaching reasoning quality comparable to proprietary frontier endpoints.

Open full story

Local LLMs

Self-hosted, privacy-first inference · 38 articles

Self-hosted inference, GGUF / llama.cpp, Ollama, hardware setups and privacy-first AI stacks.

Local LLMsAug 29, 2026 2 min read

Custom llama.cpp Fork Brings KV Cache Streaming for Qwen 3.8 27B to 16GB GPUs

Why it matters

You can now run larger local models like Qwen 3.8 27B with multi-thousand token contexts on standard mid-tier hardware without running out of GPU memory.

Open full story

Local LLMsAug 26, 2026 2 min read

Apple Unveils M5 Ultra Mac Studio with 512GB RAM for Local LLMs

Why it matters

You can run 70B+ parameter open-weight models completely locally on a single desktop without cloud token fees or server cluster overhead.

Open full story

Local LLMsAug 23, 2026 2 min read

Daimon: Local Proxy Redacts Sensitive Prompts Before External Large Language Model Inference

Why it matters

You can now leverage cloud models like OpenAI Codex while preventing API keys, passwords, and internal identifiers from leaking over network requests.

Open full story

Open slot