CSUNX233 / qwen3.8-27b-ninfer-5070tilaptop-kvmem-local-agent

RTX 5070 Ti Laptop 12GB 跑 Qwen3.8-27B：NInfer + KVMem、256K 逻辑上下文、RAM KV、MTP、快速缓存续接与 dsh 本地 Agent / 搜索 / 浏览器。含源码、Windows 部署及实测。

1115714829 / llama.cpp-v100

llama.cpp optimized for NVIDIA Tesla V100 (SM70): Qwen3.8-Flash-Next with MTP (prefill 3402 tok/s at 200K context on 6x V100-16GB; also runs on 2x V100-16GB) and Qwen3.8-27B with DFlash2 (decode up to 220 tok/s); 2-6 GPUs, 262K-512K context, multimodal, concurrent serving, built-in web UI.

zeromq / libzmq

ZeroMQ core engine in C++, implements ZMTP/3.1

JakeATX / llamAmpere

llama.cpp fork for significantly improved performance on Ampere (especially RTX 3090 / 3090 Ti): example: 95+ tok/s over a 100K-token generation at temperature 1 for qwen3.8, supporting full 262K ctx. Supports low memory (12gb) configs for 200k+ ctx

MailCore / mailcore2

MailCore 2 provide a simple and asynchronous API to work with e-mail protocols IMAP, POP and SMTP. The API has been redesigned from ground up.

whoozle / android-file-transfer-linux

Android File Transfer for Linux (and macOS!)

headpiece747 / ninfer-5090-windows

Native Windows port of NInfer engine for RTX 5090. Features Qwen3.8-27B with QUASAR and NInfer models, MTP/DFlash2 with vision and 262,144 context

Geramy / LSE

HRX, LOOM, Mac, and AMD running top speed kernels with a self optimizing engine.

omgitsbase / llmash

Ollama-compatible LLM server on a tuned llama.cpp fork. Same commands, API and model store as Ollama, up to 4x Ollama's decode speed and 2.8x vLLM's in our benchmarks, from custom CUDA kernels, MTP speculation and its own 3-bit builds. Uncensors models in one command. Windows and Linux, NVIDIA.