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Showing 10 results from 1,345
gege-circle/.github
GitHub่ฟ้ๆฏGitHub็่ๅบ๏ผไนๆฏๆๆๅ็ฑๅฅฝ่ ็ไบคๆตๅฐ๏ผไธป่ฆ่ฎจ่ฎบๅจๆผซใๆธธๆใ็งๆใไบบๆใ็ๆดป็ญๆๆ่ฏ้ข๏ผๆฌข่ฟๅไฝๅฐไผไผดไปฌๅจๆญค่ฎจ่ฎบ่ถฃไบใThis is GitHub grassland, and the community place for Gege circle lovers, mainly discusses anime, games, technology, lifing and other topics. You are welcome to share interest things here. ใใใใใใใใใใใใใใใใใใใใใใใใใใใใใใใใใใใใใใใใใใ... Read more
External source
GitHub
chronoxor/CppServer
GitHub C++ MIT LicenseUltra fast and low latency asynchronous socket server & client C++ library with support TCP, SSL, UDP, HTTP, HTTPS, WebSocket protocols and 10K connections problem solution
External source
GitHub
gotzmann/llama.go
GitHub Go Otherllama.go is like llama.cpp in pure Golang!
External source
GitHub
RahulSChand/gpu_poor
GitHub JavaScriptCalculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization
External source
GitHub
noonghunna/club-3090
GitHub Python Apache License 2.0Community recipes for serving LLMs on RTX 3090/4090/5090 CUDA gpus. Multi-engine (vLLM, llama.cpp, ik_llama) and model-agnostic. Currently shipping Qwen3.6-27B Qwen3.6 35B Gemma 4 26B Gemma 4 31B configs for 1ร and 2ร cards.
External source
GitHub
milanglacier/minuet-ai.nvim
GitHub Lua GNU General Public License v3.0๐ Dance with Intelligence in Your Code. Minuet offers code completion as-you-type from popular LLMs including OpenAI, Gemini, Claude, Ollama, Llama.cpp, Codestral, and more.
External source
GitHub
Cylix/cpp_redis
GitHub C++ MIT LicenseC++11 Lightweight Redis client: async, thread-safe, no dependency, pipelining, multi-platform - NO LONGER MAINTAINED - Please check https://github.com/cpp-redis/cpp_redis
External source
GitHub
sybil-solutions/vllm-studio
GitHub TypeScript Apache License 2.0Control panel for VLLM, Sglang, llama.cpp, exllamav3
External source
GitHub
ngxson/wllama
GitHub TypeScript MIT LicenseWebAssembly binding for llama.cpp - Enabling on-browser LLM inference
External source
GitHub
scrya-com/rotorquant
GitHub PythonKV cache compression via block-diagonal rotation. Beats TurboQuant: better PPL (6.91 vs 7.07), 28% faster decode, 5.3x faster prefill, 44x fewer params. Drop-in llama.cpp integration.
External source
GitHub
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