CLI/GUI tool for efficient and easy safetensors and gguf model conversion
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Updated
Sep 24, 2026 - Zig
CLI/GUI tool for efficient and easy safetensors and gguf model conversion
GGUF Quantization support for native ComfyUI models
Evolution process to find the best quant tensor weights to build the most optimal GGUF options for an AI model.
Análise Avançada de Dados com Causalidade e Aprendizado por Reforço
Fatrocu e-arşiv faturalarınızı, yazar kasa fişlerinizi ve makbuzlarınızı dakikalar içerisinde %100 lokalde çalışan AI ile excel formatına çevirir ve manuel veri girişini büyük bi oranda azaltır.
Which language models will actually run well on your machine. Measured, not looked up. Free, offline, for Windows, macOS and Linux.
Auto GGUF Converter for HuggingFace Hub Models with Multiple Quantizations (GGUF Format)
Gemma-4-It fine-tuned on PubMedQA using SFT & RLVR
Convert and quantize llm models
Run large language models locally on Windows. A native Rust desktop app and local LLM API server for GGUF models fully offline, no Python, no Docker, no cloud account. It measures your GPU and the model file, then loads a configuration that fits. Tuned on an 8 GB laptop card.
Convert Safetensor weights to GGUF format using google colab and HuggingFace. Use the power of AI locally :)
Convert Hugging Face models to GGUF with xet support.
A 501M-parameter language model trained from scratch on 20B tokens: custom BPE tokenizer, original Llama-style architecture, training and SFT pipeline, and unattended cloud orchestration. 54 hours on one H100 for about $165.
High-performance LLM compression engine using SVD matrix decomposition, INT8 quantization, and output caching training acceleration.
AI Toolchain in Pure Zig, No Python, No C++
Quantize LLMs automatically.
Autonomous, Sovereign & Zero-Cloud Local Generative AI Workstation
Train any LLM model locally on your Windows PC. Add or refine skills to meet your needs. Free for non-commercial use.
Power up your projects with Glyvex: All-in-one open-source AI suite for automation and innovation.
go-mlx native inference, training and research tooling.
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