Brief Details: A powerful sentence embedding model with 1.24B parameters, converting text to 768-dimensional vectors. Optimized for sentence similarity tasks.
Brief-details: Efficient 70.8M parameter reranking model optimized for search enhancement, achieving 43.9 NDCG@10 on BEIR benchmarks. Smallest in MixedBread's reranker family.
Brief-details: SpeechT5 TTS is a unified encoder-decoder model for text-to-speech synthesis, fine-tuned on LibriTTS with MIT license. Popular with 135K+ downloads.
Brief-details: SOLAR-10.7B-Instruct-v1.0 is a powerful 10.7B parameter LLM optimized for single-turn conversations, outperforming larger models up to 30B parameters.
Brief Details: T5-11B is Google's powerful 11-billion parameter language model capable of text-to-text transformation across multiple languages, optimized for diverse NLP tasks.
Brief Details: LLaVA-NeXT-Video-7B is a state-of-the-art multimodal model capable of processing both videos and images, with 7B parameters and SOTA performance on VideoMME bench.
Brief Details: DeBERTa-v3-small: Microsoft's 44M parameter language model combining ELECTRA-style pre-training with gradient-disentangled embedding sharing.
Brief Details: A specialized sentence embedding model with 768-dimensional vectors, trained on MS MARCO dataset for semantic search with 33.4M parameters.
Brief-details: Chronos-T5-mini is a 20.5M parameter time series forecasting model using T5 architecture, trained on public and synthetic data for probabilistic predictions.
Brief Details: DistilBERT-based sentiment analysis model (67M params) for 3-class text classification. Popular with 139K+ downloads, optimized for efficiency.
Brief Details: InstantID - A zero-shot identity-preserving image generation model that creates high-quality personalized images from a single reference photo, supporting SDXL integration.
Brief Details: A Helsinki-NLP English-to-Arabic translation model with BLEU score of 14.0, supporting multiple Arabic dialects and using transformer architecture.
Brief Details: Qwen2.5-0.5B is a 494M parameter base language model supporting 29+ languages with 32K context length, optimized for text generation and coding.
Brief Details: A 7.6B parameter code-specialized LLM with 128K context, optimized for code generation, reasoning & fixing. Part of Qwen2.5 series with state-of-the-art performance.
Brief-Details: A Vietnamese self-supervised learning Wav2Vec2 model trained on 13k hours of YouTube audio, optimized for speech recognition with 95M parameters and CC-BY-NC-4.0 license.
Brief Details: Advanced suicidality detection model based on ELECTRA architecture. 109M parameters, achieving 93.94% accuracy. Specialized in identifying suicidal content in text.
Brief Details: GPT-Neo 125M: EleutherAI's 150M parameter transformer model trained on The Pile dataset. Specializes in text generation with MIT license.
Brief-details: Fashion-focused multimodal embedding model with 203M params, achieving 57% better retrieval performance than FashionCLIP, specialized for e-commerce applications.
Brief-details: Quantized 70B parameter LLaMA 3.1 model optimized for multilingual dialogue, running in 4-bit precision (INT4) using GPTQ, requiring ~35GB VRAM.
Brief-details: DeBERTa-v3-small variant fine-tuned on 600 NLP tasks, optimized for long-context NLI with 142M parameters. Excellent for zero-shot classification and NLI tasks.
Brief-details: Advanced text-to-image model with enhanced anime capabilities, featuring 200k+ anime training images and sophisticated DPO optimization. Ideal for high-quality image generation.
