Brief-details: GGUF-optimized version of OLMo-2-0325-32B-Instruct, a 32B parameter instruction-tuned language model by Allen AI, offering efficient deployment capabilities
Brief-details: Gemma-3 12B multimodal model from Google DeepMind, supporting text+image input with 128K context. Available in multiple quantized formats for different hardware configs.
BRIEF-DETAILS: Gemma 3 27B quantized model optimized for inference, featuring 4-bit precision, multimodal capabilities with 128K context window and support for 140+ languages.
Brief-details: "Inflate" - A specialized LoRA for Wan2.1 14B I2V 480p that creates inflation effects in videos, trained on 30s of inflation footage over 20 epochs. Supports various objects and scenes.
Brief-details: Gemma3-1B-IT is an instruction-tuned variant of Google's 1B parameter language model, requiring explicit license acceptance through Hugging Face for access.
BRIEF-DETAILS: A 4B parameter upscaled version of Gemma 2B, optimized for modern techniques with multiple format availability (GGUF, iMatrix) and Discord community support.
Brief-details: A comprehensive quantized version of QwQ-32B model offering multiple GGUF variants from 9GB to 35GB, optimized for different RAM/performance trade-offs
Brief Details: A compact variant of Microsoft's Phi-3 architecture, created by katuni4ka. Designed for experimentation with smaller-scale language modeling capabilities.
Brief-details: Repeat is an AI model by unslothai hosted on HuggingFace, designed for sequence processing and pattern recognition tasks. Limited public information available.
BRIEF DETAILS: ContentVec model for Hugging Face Transformers, focusing on audio processing with HuBERT architecture and custom final projection layer implementation.
Brief Details: A 14B parameter GGUF-quantized language model optimized for dialogue generation using chain-of-thought prompting, running at Q4 precision.
BRIEF-DETAILS: Meta's 70B parameter instruction-tuned LLaMA model, optimized for following instructions and engaging in dialogue with enhanced capabilities.
Brief-details: Mistral-Large-Instruct-2407 is Mistral AI's latest instruction-tuned large language model, featuring enhanced capabilities for following complex instructions and generating high-quality responses.
Brief Details: A LoRA model trained on Replicate using flux-dev-lora-trainer, designed for text-to-image generation with the trigger word "zehra". Built for the diffusers library integration.
Brief-details: Step-Video-TI2V is a state-of-the-art text-driven image-to-video generation model capable of transforming static images into dynamic videos with parallel processing support and high-quality output.
BRIEF-DETAILS: Specialized LoRA model for creating flat color animations without lineart, focused on smooth video generation with emphasis on anime-style characters and scenes
Brief Details: bc8-alpha is an AI model by ionet-official available on HuggingFace, though limited public information suggests it may be an experimental or alpha-stage development model.
Brief Details: A logging-focused model by unslothai that tracks environment statistics for AWS implementations, emphasizing monitoring and debugging capabilities.
Brief-details: A compact Vision Transformer (ViT) variant converted from timm weights, offering efficient image processing with 16x16 patches and 224x224 input resolution.
Brief-details: mcontriever-msmarco is a dense retrieval model by Facebook, fine-tuned on MS MARCO, designed for efficient passage retrieval and information search tasks.
Brief Details: A 32B parameter Japanese language model fine-tuned using Chat Vector and ORPO, built on Qwen2.5-bakeneko for superior reasoning and instruction-following capabilities
