Gemma 4 Finally Works in llama.cpp After Critical Fixes Gemma 4 now runs efficiently in llama.cpp after critical KV cache and tokenizer fixes. Local inference on consumer hardware finally viable.

Gemma 4 is now actually usable in llama.cpp. KV cache and tokenizer bugs fixed. You can run it on consumer GPUs without melting your VRAM. #LocalAI #Gemma4 #LlamaCpp

https://bymachine.news/gemma-4-llama-cpp-fixes-kv-cache

So after another few hours of tinkering and bending I got #translategemma #LLM multi-modal text in picture translation working with #llamacpp as model serving. Custom #python REST API and simple web interface. It is not that straightforward as spinning llamacpp and […]

[Original post on f.cz]

Dnes jsem jen tak cvičně vyrobil #python #fastfastapi openrest api a webui nad #llamacpp a #translategemma #LLM. Musel jsem trochu ohýbat, ale nakonec mi to funguje a musím přiznat, se kvalita překladu je celkem dobrá tedy minimálně 12b verze translategemma.

Je me suis encore amusé cet après-midi (mauvais temps oblige).
Un LLM local ce'st bien mais sans recherche web c'est pas top.
On s'était amusé en live avec des recherches Wikipedia.
Là c'est tout le Web qui est interrogé :)
#python #streamlit #duckduckgo #llamacpp #qwen35

llama.cpp重大更新：自带Web UI，性能超越Ollama，本地大模型部署新选择！ Ollama 背后执行推理的核心技术其实是由 llama.cpp 承担的，GGUF 模型格式也是由 llama.cpp 的作者所开发。 现在 llama.cpp 迎来重大更新，它也有了自己的 Web UI，我测试了安装部署和自行打包，很多地方确实比 Ollama 还有方便好用。 官方介绍，优势如下： * 完全免费、开源且由社区驱动 * 在所有硬件上表现出色 * 高级上下文和前缀缓存 * 并行和远程用户支持 * 极其轻量级且内存高效 * 充满活力且富有创造力的社区 * 100% 隐私 使用之前需要先安装 llama.cpp server 我还是喜欢命令行直接安装 ## Winget (Windows)winget install llama.cpp## Homebrew (Mac and Linux)brew install llama.

llama.cppがまた進化してる…！
なんとWeb UIが統合されて、Ollamaなしでもブラウザから直接モデルを動かせるようになったみたい。

ローカルLLMをサクッと試したい時の選択肢がまた増えましたね。これ、実用面でどこまでOllamaを追い上げられるか興味深い…！

みんなはローカルLLMの管理、何使ってる？

#AI #ローカルLLM #llamacpp #OSS

www.zeeklog.com/llama-cppzhong-da-geng-x...

Run 70B+ AI models on your 32GB Mac? Hypura makes it possible by streaming tensors from NVMe, pushing local inference boundaries. See how this clever engineering bypasses OOM errors!

thepixelspulse.com/posts/nvme-streaming-mac...

#hypura #applesilicon #llamacpp

DLLM - D Language 🤖 on 🦙.cpp

All D 🤪. No Python 🐍. No bindings 🩹. Just vibes 🌴.

🔗 github.com/DannyArends/DL…

#dlang #llm #llamacpp #opensource #AI

Just uploaded an experimental patch for the llama.cpp webui
I needed more control over the model's reasoning, so I added a toggle in the WebUI to manage it. You can disable it entirely or set it to different levels (Low, Medium, High).
It's still very […]

[Original post on mastodon.social]

The current state of the GPU market for AI is more diverse than many assume The current state of the GPU market for AI is more diverse than many assume.

The current state of the GPU market for AI is more diverse than many assume

whyaiman.substack.com/p/the-curren...

#AI #GPUComputing #Llamacpp #localai #IntelArc

GitHub - hybridgroup/yzma: Go with your own intelligence - Go applications that directly integrate llama.cpp for local inference using hardware acceleration. Go with your own intelligence - Go applications that directly integrate llama.cpp for local inference using hardware acceleration. - hybridgroup/yzma

yzma 1.11 is out, with more of what you need:
- Support for latest llama.cpp (>97% of functions covered)
- ROCm backend+benchmarks
- @officialarduino.bsky.social Uno Q install info
Go get it right now!
github.com/hybridgroup/...
#golang #llamacpp #yzma #arduino #unoq

I built a CLI to make it easier to run local LLMs with llama.cpp.

A few weeks later I have another tool using it to read my email and apply labels with a local model.

No credits, just scripts and a model on my laptop.

This is what I wanted local LLMs for.

#llm #localllm #llamacpp #devtools

Wow! My MLX vs llama.cpp benchmark hit #9 on r/LocalLLaMA today. Did not expect that.
Takeaway: benchmark actual scenarios, do not rely on just the tok/s counter in your UI. Ran into a caching bug specific to Qwen 3.5 (35B-A3B) on MLX. Effective tokens/s is what we experience

#MLX #LlamaCpp #Qwen

Gopherbot blinking

Less than 2 weeks until Embedded World & I will be at large on the expo floor! Let's chat about all things Go with microcontrollers, computer vision, & machine learning. Just look for Gopherbot.

#golang #tinygo #ew26 #embedded #computerVision #ml #openCV #llamacpp #yzma

GitHub - hybridgroup/yzma: Go with your own intelligence - Go applications that directly integrate llama.cpp for local inference using hardware acceleration. Go with your own intelligence - Go applications that directly integrate llama.cpp for local inference using hardware acceleration. - hybridgroup/yzma

yzma 1.10 is out with improvements like:
- install info for @officialarduino.bsky.social UNO Q and @raspberrypi.com
- experimental 'VLM' type
- improved yzma cmd so 'go install' works with latest

Go and get it!

github.com/hybridgroup/...

#golang #llama #llamacpp #ml #llm #vlm #cuda #vulkan

winbuzzer.com/2026/02/21/g...

Open-Source llama.cpp Finds Long-Term Home at Hugging Face

#AI #HuggingFace #AIInference #OpenSourceAI #OnDeviceAI #GGML #LlamaCpp #LocalAI #GeorgiGerganov

llama.cpp Creator Joins Hugging Face, Cementing the Open-Source AI Inference Stack Georgi Gerganov and the ggml.ai team behind llama.cpp are joining Hugging Face. The deal unifies model hosting, model definition, and local inference under one open-source roof.

llama.cpp Creator Joins Hugging Face, Cementing the Open-Source AI Inference Stack

awesomeagents.ai/news/ggml-llama-cpp-join...

#LlamaCpp #HuggingFace #OpenSource

Running local LLMs and VLMs on the Arduino UNO Q with yzma Discover how to run local LLMs and VLMs directly on the Arduino UNO Q using Ron Evans' yzma project, using llama.cpp with Go making edge AI LLM possible in the Arduino UNO Q.

"Running local LLMs and VLMs on the Arduino UNO Q with yzma"

@golang.org running on the @officialarduino.bsky.social #unoq can be your new tiny edge inference device!

projecthub.arduino.cc/marc-edgeimp...

#golang #yzma #llama #llamacpp #llm #vlm #arduino #ml

GitHub - hybridgroup/yzma: Write Go applications that directly integrate llama.cpp for local inference using hardware acceleration. Write Go applications that directly integrate llama.cpp for local inference using hardware acceleration. - hybridgroup/yzma

The robots never sleep and neither do we! yzma 1.9 is out to handle breaking changes in upstream llama.cpp & since we were at it, auto-detect CUDA on installation and other useful changes too.

github.com/hybridgroup/...

#golang #llamacpp #llama #ml #nvidia #cuda

GitHub - hybridgroup/yzma: Write Go applications that directly integrate llama.cpp for local inference using hardware acceleration. Write Go applications that directly integrate llama.cpp for local inference using hardware acceleration. - hybridgroup/yzma

Just released yzma 1.8 with what Go coders need:
- latest llama.cpp features/models such as ModelFitParams
- @raspberrypi.com & #nvidia Jetson Orin quick installs
- more benchmarks

go get it right now!

github.com/hybridgroup/...

#golang #ml #llama #llamacpp #cuda #vulkan #raspberrypi #nvidia

New in llama.cpp: Anthropic Messages API A Blog post by ggml.ai on Hugging Face

#llamacpp announcing #anthropic Messages API the same day as GLM4.7-Flash releases is just chef's kiss 🧠🤖🧑‍🍳😘💋.

huggingface.co/blog/ggml-or...

GitHub - FabioSmuu/TempFS: Tenha um playground em ambiente controlado para suas agentes. Tenha um playground em ambiente controlado para suas agentes. - FabioSmuu/TempFS

Lance o TempFS Um protótipo para orquestrar contêineres temporários para modelos GGUF usando Node.js e Podman.
O projeto foca em ambientes efêmeros e limpeza automática de recursos.

github.com/FabioSmuu/Te...

#AI
#GGUF
#LLM
#LlamaCPP
#NodeJS
#Podman
#Containers
#Ubuntu
#Sandboxing
#Automation

GitHub - hybridgroup/yzma: Write Go applications that directly integrate llama.cpp for local inference using hardware acceleration. Write Go applications that directly integrate llama.cpp for local inference using hardware acceleration. - hybridgroup/yzma

yzma 1.4.1 has just been released for compatibility with llama.cpp b7628+

Available now!

github.com/hybridgroup/...

#golang #llama #llamacpp #llm #vlm #tlm #slm #vla

GitHub - hybridgroup/yzma: Write Go applications that directly integrate llama.cpp for local inference using hardware acceleration. Write Go applications that directly integrate llama.cpp for local inference using hardware acceleration. - hybridgroup/yzma

yzma 1.4 is out, the last release of the year. Support for split models and a few new features that just got added to llamacpp too. Enjoy high performance local inference from Go!

github.com/hybridgroup/...

#golang #llamacpp

Small Language Model continued: Docker Guardrail Garage #005 - this instalment shows how to build a lightweight llama.cpp server image and wire it up with docker-compose and Caddy on a VPS. It continues from last week's server prep.

Live now: build a lean llama.cpp server image, wire it with Compose, park it behind Caddy. Plus GHCR tip so your VPS does not cry. Read:
demystifai.substack.com/p/small-lang...
#Docker #llamaCpp #Caddy #SLM #RAG #DevOps

Reach native speed with MacOS llama.cpp container inference | Red Hat Developer Discover how llama.cpp API remoting brings AI inference to native speed on macOS, closing the gap between API remoting and native performance

Reach native speed with MacOS llama.cpp container inference
buff.ly/CCR6tLn
#podman #llamacpp #macos

Had some fun building and using a next token prediction App to demonstrate AI concepts to deliver some #AITraining

#AI #EnterpriseAI #NextTokenPredictor #AIEducation #AIClassroom #CriticalThinking #LlamaCPP

LLM 양자화 완벽 가이드! INT4로 메모리 87.5% 절감, FP8로 처리량 43% 향상. GPTQ vs AWQ vs GGUF 비교, Llama 3 양자화 성능 벤치마크, Q4까지 손실 2% 미만! Pruning + Knowledge Distillation 경량화 기법, 하드웨어별 추천 전략, QLoRA Fine-tuning까지!


#AWQ #FP8 #GGUF #GPTQ #INT4 #INT8 #KnowledgeDistillation #Llama3 #llamacpp
doyouknow.kr/618/llm-quan...

GitHub - hybridgroup/yzma: Go for hardware accelerated local inference with llama.cpp directly integrated into your applications Go for hardware accelerated local inference with llama.cpp directly integrated into your applications - hybridgroup/yzma

We're moving at the speed of thought, so yzma v1.0 beta2 is out!

Better, faster, and more benchmarks to show it too.

Run local models using Go with your CPU, CUDA, or Vulkan.

You know what to do!

github.com/hybridgroup/...

#golang #llama #llamacpp

#LlamaCpp on the Apple Silicon

#MacOS

https://www.youtube.com/watch?app=desktop&v=2t9XrPcAiHg