llamacpp
for ai engineers
Why this scored 0
every term, weightedIts fastest-moving item, measured against the pace of its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities its own items come from
Decays to zero over 14 days, counted from when we first saw it
Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it
Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology
Outlook
high confidence · estimate, not a guarantee7-day
~0
range 0–12
14-day
~0
range 0–14
30-day
~0
range 0–19
Signal history
7-day window (free)projected trajectory (estimate, not a guarantee)
The evidence
The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.
- 130
Georgi Gerganov on llama.cpp/ggml future after Nvidia acquisition of HuggingFace
Georgi Gerganov discusses llama.cpp/ggml roadmap after Nvidia buys HuggingFace. · for AI researchers, devs
hackernewsSteady 2 · llamacppai4d ago - 225
The Complete Guide to Local LLM Inference Tools in July 2026: llama.cpp, Ollama, vLLM, SGLang, and Beyond
Local LLM tools compared · for ai devs, researchers
devtoEmergingai53d ago - 317
Apple Silicon and macOS VMs: Faster LLM Inference with llama.cpp
Faster LLM inference · for ai devs
hackernewsSteadyai30d ago - 414
LiquidAI/LFM2.5-2.6B-GGUF (text-generation)
Text generation model · for ai platform teams
huggingfaceSteady 2 · llamacppai−12 saturated36d ago - 510
The Stack Under the Model: oMLX, llama.cpp, Hermes, and Why There Are So Many
Understanding ai model stacks · for ai researchers
devtoSteady 2 · hermesai47d ago - 69
Jackrong/Qwopus3.8-27B-Flash-GGUF (image-text-to-text)
Introduces a 27B multimodal model in GGUF format usable via llama.cpp for image-text tasks. · for ai engineers
huggingfaceSteadyai−8 saturated5d ago - 77
JonathanColetti/Qwen3.8-27B-Uncensored-GGUF (text-generation)
Provides Qwen 3.8B uncensored model in GGUF format for llama.cpp inference. · for AI researchers, ML engineers
huggingfaceSteady 2 · llamacppai−18 saturated25d ago - 84
@isdk/ai-tool-llm-llamacpp — llama.cpp LLM Provider
isdk package wraps llama.cpp to run local LLMs with minimal setup. · for ml engineers, backend devs
npmSteady 2 · llamacppai−21 saturated20d ago - 90
peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF (image-text-to-text)
Releases a 35B multimodal model in GGUF format for image-to-text generation. · for ml engineers
huggingfaceSteadyai−15 saturated12d ago - 100
XHToken/Spark-X2.5-4B-GGUF (text-generation)
Introduces Spark 2.5B GGUF model compatible with llama.cpp, Ollama, and LM-Studio. · for ml engineers
huggingfaceSteadyai−14 saturated20h ago