Brief-details: Flux-essence is an AI model developed by lodestone-horizon, available on HuggingFace, designed for advanced language processing capabilities.
Brief Details: Stable Diffusion 3.5 ControlNets - Advanced image generation model by Stability AI with enhanced control mechanisms for precise image manipulation and generation.
Brief-details: Qwen2.5-Coder-0.5B-Instruct is a lightweight code-specific LLM with 0.5B parameters, 32K context, and support for multiple quantization formats. Built for efficient code generation and reasoning.
Brief Details: A Malaysian-focused NanoT5 model specialized in emotion analysis, capable of processing cased Malaysian text for sentiment and emotional context detection.
Brief Details: A specialized T5-based sentiment analysis model trained for Malaysian text, offering cased processing for accurate sentiment detection in Malay language content.
Brief-details: A minimal BloomForCausalLM model specifically designed for TRL library unit testing, exemplifying basic causal language modeling capabilities.
BRIEF DETAILS: KoBERT is a Korean BERT model developed by SKT Brain, optimized for Korean language understanding and NLP tasks. Pre-trained on large-scale Korean text corpora.
Brief-details: DeepSeek-Coder-V2-Lite-Instruct-Q8_0-GGUF is a GGUF-formatted coding assistant model, optimized for local deployment using llama.cpp with Q8 quantization for efficient performance.
Brief-details: Deep Compression Autoencoder (DC-AE) model optimized for SANA with 32x spatial and 32-channel compression, enabling efficient high-resolution diffusion model processing
Brief-details: AbsoluteReality v1.0 is a high-quality Stable Diffusion model optimized for photorealistic outputs, available via HuggingFace's diffusers library
Brief-details: Swin Transformer V2 model with 196.7M params, pre-trained on ImageNet-22k and fine-tuned on ImageNet-1k. Optimized for 256x256 images with adaptive window sizes.
BRIEF-DETAILS: Romanian BERT base model trained on 15GB corpus with strong performance on UPOS (98.00%), XPOS (96.46%), NER (85.88%), and LAS (89.69%) tasks.
Brief Details: A lightweight experimental variant of OLMo model architecture, created by katuni4ka and hosted on HuggingField, designed for testing and development purposes.
Brief-details: BERT multilingual model fine-tuned for English POS tagging, achieving 96.69% F1-score on Penn TreeBank dataset. Published by QCRI team.
BRIEF-DETAILS: Dolphin 3.0 is an 8B parameter open-source LLM built on Llama 3.1, designed for general-purpose local deployment with strong coding, math, and function-calling capabilities.
Brief-details: 8B parameter multilingual instruction-tuned LLM with 128K context, supporting 12 languages. Excels in long-context tasks, RAG, and achieves 71.31% avg score on HF Leaderboard V1.
Brief Details: C4AI Command R (Aug 2024) - Cohere's research-focused language model with email integration capabilities and privacy-conscious design
BRIEF DETAILS: UI-TARS-7B-SFT is a cutting-edge GUI interaction model with advanced perception and reasoning capabilities, achieving 89.5% accuracy on ScreenSpot benchmarks.
Brief-details: Qwen2.5-Coder-32B-Instruct-GPTQ-Int8 is a powerful 32B parameter code-focused LLM with 8-bit quantization, 128K context length, and state-of-the-art coding capabilities matching GPT-4.
BRIEF DETAILS: A 14B parameter LLM based on Qwen, fine-tuned for more controlled interactions while maintaining capability. Features reduced toxicity and choose-your-own-adventure style responses.
Brief Details: SciLitLLM1.5-14B is a specialized 14B parameter model fine-tuned from Qwen2.5 for scientific literature understanding, achieving superior performance on scientific benchmarks.
