BRIEF-DETAILS: A lightweight version of GPT-2 created by sshleifer, designed for efficient text generation and educational purposes. Ideal for resource-constrained environments.
Brief Details: NVILA-8B is an efficient visual language model supporting multi-image/video processing with 8B parameters, optimized for both accuracy and computational efficiency.
Brief-details: EvoLLM-JP-v1-7B is a 7B-parameter Japanese LLM created through evolutionary model merging, combining Shisa Gamma, WizardMath, and Abel models for enhanced performance.
Brief-details: A compact 15M parameter language model based on Llama 2 architecture, trained on TinyStories dataset. Optimized for lightweight applications and simple text generation.
BRIEF DETAILS: Vision-Language Transformer model fine-tuned on COCO dataset for image-text retrieval tasks. Eliminates need for convolution/region supervision.
Brief-details: Optimized version of Meta's Llama 3.1 70B model with Unsloth's efficiency improvements - 70% less memory usage and up to 2.4x faster training performance
Brief-details: A minimal dummy BERT model implementation with 10 layers, 20 attention heads, and tiny dimensions - useful for testing and educational purposes
Brief Details: 24B parameter instruction-tuned LLM, AWQ-quantized to INT4. Strong multilingual capabilities, 32k context, best-in-class performance vs similar sized models.
Brief-details: A numerical model developed by Ejada with limited public documentation. Purpose and capabilities require more information. Available on Hugging Face Hub.
Brief Details: Arabic numerical processing model by Ejada - focuses on numerical text handling in Arabic language contexts. Limited public documentation available.
Brief-details: Ejada's 'reason' model - A transformers-based model available on Hugging Face Hub. Details about architecture and specific capabilities pending further documentation.
Brief Details: Arabic language model by Ejada hosted on Hugging Face Hub. Details limited but appears focused on Arabic NLP tasks. Implementation specifics pending documentation.
Brief-details: An AI model from Ejada with limited public information. Documentation indicates it's a Transformers-based model but specific capabilities and parameters are not disclosed.
BRIEF-DETAILS: State-of-the-art small embedding model (140M params) with 65.58 MTEB score, using innovative two-stage architecture for contextual document embedding
BRIEF DETAILS: VTuber-RVC is a specialized voice conversion model designed for VTuber-style voice transformations, created by dacoolkid44 and hosted on HuggingFace.
Brief Details: GhostMix is an AI model by drnighthan hosted on HuggingFace, designed for specialized text generation and processing tasks.
BRIEF-DETAILS: A custom model collection by AnaNoSleep hosted on HuggingFace, featuring specialized AI models curated by dalcefo for various tasks.
Brief-details: SEC-BERT-SHAPE is a financial domain BERT model trained on SEC filings, featuring number shape preservation (e.g., "53.2" → "[XX.X]") for enhanced numeric processing.
Brief-details: SEC-BERT-NUM is a specialized BERT model for financial text analysis that uniformly handles numeric expressions by replacing them with [NUM] tokens. 110M parameters, trained on SEC filings.
Brief-details: SEC-BERT-BASE is a BERT model fine-tuned on 260K+ financial documents from SEC filings, optimized for financial NLP tasks with 110M parameters
Brief-details: BERT model specialized for EU legislation, pre-trained on 116K legal documents. 12-layer architecture with 110M parameters optimized for legal NLP tasks.
