# GGUF Quantization

SpaceOm-GGUF is a multimodal model focusing on visual question answering tasks and performs excellently in spatial reasoning.

This is a quantized model for text-to-video conversion, which supports converting text descriptions into video content and has been processed by GGUF quantization to improve inference efficiency.

This is a text-to-video generation model. After GGUF conversion, it can be used in compatibility with ComfyUI-GGUF.

This is a direct GGUF conversion version of the bytedance-research/Phantom model, usable in ComfyUI with the ComfyUI-GGUF custom node.

This is an experimental GGUF conversion version of ZuluVision/MoviiGen1.1, integrated with the VACE plugin for text-to-video tasks.

This is the GGUF quantized conversion version of the Wan-AI/Wan2.1-VACE-14B model, primarily designed for text-to-video generation tasks.

MoviiGen1.1 is a video generation model based on GGUF format conversion, supporting text-to-video tasks.

LTX-Video is a text-to-video generation model that supports creating video content from text or images.

A GGUF format video generation model converted from the customized Tencent Hunyuan model, supporting image-to-video tasks

ACE-Step-v1-3.5B is a text-to-audio model that supports high-quality audio generation, suitable for music and sound effects creation.

Spark-TTS-0.5B is a quantized version based on prince-canuma/Spark-TTS-0.5B, supporting text-to-speech tasks in English and Chinese.

GGUF quantized version of the 13b-0.9.7-dev variant based on Lightricks/LTX-Video, supporting text-to-video and image-to-video generation tasks.

SkyReels-V2-DF-14B-540P is a video generation model capable of converting images into videos.

LTX-Video is a GGUF-quantized text-to-video model that supports generating video content from text or images.

SkyReels-V2-I2V-1.3B-540P is an image-to-video generation model capable of converting static images into dynamic videos.

SkyReels-V2 is a 14B-parameter text-to-video generation model that supports 540P resolution video generation.

SkyReels-V2-I2V-14B-720P is an image-to-video generation model capable of converting static images into dynamic videos.

A text-to-speech model fine-tuned from Canopy Labs' pre-trained model, supporting English, using GGUF Q2_K quantization format for efficient inference

A text-to-speech (TTS) model fine-tuned from Canopy Labs' pre-trained model, quantized in GGUF FP16 format for efficient inference

HiDream-I1-Fast is a GGUF-quantized text-to-image generation model designed for fast image generation tasks.

HiDream-I1-Full is a GGUF-format text-to-image generation model designed for image generation tasks.

GGUF format re-ranking model converted from BAAI/bge-reranker-base, supporting Chinese and English text sorting tasks

GGUF format model file converted from allura-org/Gemma-3-Glitter-4B, optimized with imatrix quantization

GGUF quantized version of DeepSeek-V3-0324, suitable for local text generation tasks.

A Japanese dialogue model quantized using llama.cpp based on rinna/qwq-bakeneko-32b, compatible with most llama.cpp-based applications

QwQ-Math-IO-500M is a 500M-parameter language model focused on mathematical reasoning and input-output processing, offering quantized versions in GGUF format.

GGUF-format quantized version of Stable Diffusion XL, offering different quantization levels to accommodate various hardware configurations.

A 3.2B parameter model based on the Llama-3 architecture, specifically designed for generating summaries of Hacker News comments

This model is a GGUF format conversion of nomic-ai/CodeRankEmbed, suitable for code-related tasks.

The GGUF quantized version of Mochi is a text-to-video generation model that includes a GGUF encoder and GGUF variational autoencoder, suitable for fast video content generation.

The GemmaX2-28-2B GGUF quantized model is a series of quantized variants based on GemmaX2-28-2B-v0.1, designed for multilingual machine translation and supports 28 languages.

The GGUF quantized version of Wan Video is a text-to-video generation model suitable for older or low-end machines, supporting efficient inference via GGUF files.

This is a GGUF format model converted from Falconsai/medical_summarization, specifically designed for medical text summarization tasks.

This is a GGUF format model converted from DISLab/SummLlama3.2-3B, primarily used for text summarization tasks.

This model is the GGUF quantized version of BAAI/bge-reranker-v2-m3, designed for text reranking tasks with multilingual support.

LTX-Video is a text-to-video model quantized in GGUF format, supporting video generation from text or images.

This is a GGUF format model converted from the Qwen2.5-Coder-0.5B model, suitable for code generation tasks.

The Flex.1 alpha 8B model is a text-to-image generation model converted to GGUF format, specifically designed for the ComfyUI-GGUF tool.

This is a direct GGUF conversion of the flux.1-lite-8B model, designed for the ComfyUI-GGUF framework.

OuteTTS-0.3-500M is a multilingual text-to-speech model developed by OuteAI and released under the cc-by-nc-4.0 license.