_nullmirror
BLOG MODEL FINDER
RSS
BLOG MODEL FINDER
  • Launch ETA: August 2026
  • 20 December 2025 7 min read

    Block-Floating FP4 for Local Inference in llama.cpp

    MXFP4, aka Microscaling Format for 4-bit Floating-Point, is essentially a very small floating-point format that borrows one big trick from signal processing and older “block floating point” designs, in that …

  • 22 November 2025 10 min read

    Raspberry Pi Inference: Tiny Quantized Models at the Edge

    This post reports a small, benchmark run on a Raspberry Pi 4B (8GB RAM) device using llama.cpp across five compact GGUF models spanning ~270M to ~1.2B parameters, with aggressive quantization. The aim was to measure how …

  • 21 November 2025 13 min read

    Short Model Horizons Revisited

    Since our earlier “short horizons, fragile state, orchestration first” note 1, there have been more data points published and the picture is becoming a bit sharper, justifying a follow-up post. We now have: A …

  • 15 November 2025 13 min read

    Tiny Quantized Models On Device

    On-device LLMs are compact, optimized large language models that run directly on local hardware like smartphones or edge devices, instead of on a remote cloud server. This allows for privacy, since data stays local and …

  • 2 November 2025 10 min read

    Switching our Inference Backend from Ollama to llama.cpp

    For pragmatic reasons, Ollama has been the default local backend in our prior benchmark runs. Our recent article on Ollama and Open WebUI practices1 illuminated the need for an alternative. We’ve now added the …

  • 1 November 2025 14 min read

    Local AI Capture: Ollama, Open WebUI, and llama.cpp

    We have seen examples such as Red Hat placing RHEL sources behind customer portals and contracts, and Canonical combining GPL code with contributor license agreements, trademark conditions, and a transition from GNU …

  • 1 November 2025 7 min read

    Practical Long-Context LLM Inference with llama.cpp

    We can run serious long-context inference on commodity Apple silicon, but long context is hard. In this post we’ll touch on what Grouped-Query Attention (GQA) changes, and how to size a context window on ~ 64 GB …

  • 29 October 2025 10 min read

    LLM Fingerprints v1.4: The Cost of Quality, and routing decides winners

    nullbench is our ongoing evaluation run across a rotating set of current large language models1. We score models across practical dimensions—factual depth, reasoning, software engineering, compliance behavior, …

  • 5 October 2025 4 min read

    nullbench Update: Iterating the Compliance Judge Panel

    The compliance benchmark within nullbench serves as a fine-grained audit of a model’s capacity to follow instructions under constraint. Unlike accuracy tests, it measures the intersection of obedience, neutrality, …

  • 4 October 2025 4 min read

    nullbench Update: Expanding the Mid-Field and Refining the Judge Panel

    The nullbench framework continues to evolve toward reproducible, interpretable behavioral analysis of language models. Since version 1.3, which introduced a revised judge panel anchored by glm-4-9b, recent short …

← Newer Page 3 of 5 Older →
_nullmirror

only signal survives

Links

  • Disclaimer
  • Privacy Policy

Connect

  • X/Twitter
  • Email
© 2026 _nullmirror
RSS Source