# Multiple Quantization Versions

Static quantized version of Qwen2-Audio-7B-Instruct model, supporting English audio-to-text conversion tasks

This is the GGUF quantized version of the Josiefied-Qwen3-4B-abliterated-v1 model, suitable for local deployment and execution.

DeepCoder-14B-Preview is a code generation model developed based on DeepSeek-R1-Distill-Qwen-14B, focusing on solving verifiable programming problems.

Beaver-7B-v3.0 is a 7B-parameter large language model based on the LLaMA architecture, focusing on safety and human feedback reinforcement learning (RLHF).

This is the static quantized version of the asif00/orpheus-bangla-tts model, supporting Bengali text-to-speech tasks.

This is a text ranking model used for sorting text by relevance.

This is a text ranking model used for reordering and scoring texts.

A 50-million-parameter text reranking model based on the Qwen2.5 architecture, suitable for information retrieval and document ranking tasks

A text reranking model based on the Qwen2.5 architecture with 0.5B parameters, suitable for reranking tasks.

Static quantized version based on kriton/greek-text-summarization, specialized for Greek text summarization tasks

SmolMaestra-1.7b-Translation is a 1.7B parameter translation model that supports translation tasks between English and Italian.

FLUX.1-Canny-dev is a text-to-image generation model focused on image generation tasks.

GGUF quantized version of Stable Diffusion 3.5 Medium, supporting text-to-image generation tasks.

LLaMA-Mesh is a text-to-3D model based on the LLaMA architecture, focusing on mesh generation tasks. This version is quantized using llama.cpp, offering multiple quantization options to suit different hardware requirements.

FLUX.1-dev is a text-to-image diffusion model developed by black-forest-labs, capable of generating high-quality images from text prompts.

Text ranking model based on Gemma 2B architecture, offering multiple quantization versions to suit different hardware needs

Mistral-7B-Instruct-v0.3 is a large language model based on Mistral-7B-v0.3 with instruction fine-tuning, supporting function calling and an expanded vocabulary.

Phi-3-mini-128k-instruct_function is a text generation model based on GGUF format quantization, supporting multiple quantization levels.