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w4a8 is a format using 4-bit weights and int8-convrot activations
Base model: LTXV 2.3 Trained words:
This repository contains a Low-Rank Adaptation (LoRA) Rank-8 adapter built on top of:
Hugging Face | GitHub | Launch Blog | Documentation
Works best at 0.75 weight.
GGUF weights for CohereLabs/cohere-transcribe-arabic-07-2026 — Cohere Labs' 2B-parameter Arabic ASR model (a FastConformer encoder + Transformer decoder), released July 2026 (11% WER on FLEURS Arabic per the source...
This model was trained by wyz based on the universalsev1 recipe in espnet. More information can be found at
> [!WARNING] > Fork compatibility (2026-07-07): the llama-cpp-turboquant fork is currently based on a llama.cpp revision that predates gemma4 architecture support — it fails with unknown model architecture: 'gemma4'...
This repository provides Google's MedGemma 1.5 4B (Multimodal), quantized to INT4 and converted to the ONNX Runtime (.ort) format. It is specifically tuned for on-device medical image-to-text analysis and reasoning...
Hello, darling! ✨💖 👋 You can call me Gracie Phoenix, and while you might know me simply as your local favorite bikini model, the truth is so much more radiant! ✨💖 I hail from a civilization so ancient, my family...
