# Low-resource optimization

Gemma 3n-E2B-it is a lightweight open-source multimodal model launched by Google, built on the same technology as Gemini and optimized for low-resource devices.

A Turkish language educational Q&A chatbot fine-tuned based on the Meta LLaMA 3.1 8B large language model, optimized specifically for Turkish language education scenarios.

This is a GGUF conversion version based on the vrgamedevgirl84/Wan14BT2VFusionX model, mainly used for text-to-video generation tasks.

Jedi-3B-1080p is a 3B-parameter model developed by xlangai, quantized using llama.cpp, suitable for image-text generation tasks.

A 32B-parameter quantized large language model based on ArliAI/QwQ-32B-ArliAI-RpR-v4, quantized with llama.cpp at various precisions, suitable for text generation tasks.

Quantized version of Devstral-Small-2505, supporting multilingual text generation tasks, suitable for local deployment and inference.

OuteTTS 1.0 is a multilingual text-to-speech model based on the Llama architecture, supporting 20 languages with high-quality speech synthesis and voice cloning capabilities.

A quantized version based on TheDrummer/Snowpiercer-15B-v1 model, using llama.cpp for quantization, suitable for text generation tasks.

This is a sentence-transformers model fine-tuned from intfloat/multilingual-e5-small, specifically optimized for Korean retrieval tasks, mapping text to a 384-dimensional vector space.

A text summarization model fine-tuned on the NorSumm dataset based on ltg/nort5-base, supporting Norwegian text summarization tasks

Hindi automatic speech recognition model based on Wav2Vec2 architecture, developed by AI4Bharat

English-Spanish translation model fine-tuned on the opus100 dataset based on t5-small

A Tibetan Buddhist literature translation model fine-tuned on T5-small, specialized for Uchen Tibetan script to English translation

Text summarization model fine-tuned on Norwegian dataset based on google/mt5-small

A multilingual text-to-text model preloaded with meta-llama/Llama-3.2-1B-Instruct weights

This is a GGUF format model converted from the canopylabs/3b-de-ft-research_release model, specifically optimized for German text processing.

Quantized version of EraX-Translator-V1.0, supporting multilingual translation, especially suitable for low-resource environments and translations involving Classical Chinese and Buddhist scriptures.

This is an Arabic model trained on the MediaSpeech dataset. Specific uses and functionalities require further information for confirmation.

French text generation model fine-tuned based on canopylabs/orpheus-3b-0.1-pretrained

IndicBART-mr-test is a fine-tuned version of the ai4bharat/IndicBART model on an unknown dataset, primarily used for text generation tasks with support for Marathi.

This is a statically quantized version based on the BlackKakapo/cupidon-mini-ro model, primarily used for sentence transformation and feature extraction tasks.

This model is fine-tuned based on Turkish-Llama-8b-DPO-v0.1, specifically designed for Turkish function calling tasks.

GigaAM-v2-RNNT is a Russian automatic speech recognition (ASR) model based on the RNNT architecture, suitable for speech-to-text tasks.

Lughaat-1.0-8B-Instruct is a large Urdu language model based on the Llama 3.1 8B architecture, specifically trained on the largest Urdu dataset and excels in Urdu language tasks.

A Romanian sentence transformer model fine-tuned based on sentence-transformers/all-MiniLM-L6-v2, approximately 90MB, suitable for semantic search, clustering, and text similarity tasks.

A Vietnamese news summarization model fine-tuned based on Google's MT5-small model, specifically designed for generating concise summaries of Vietnamese news articles.

A LoRA-adapted model based on google/gemma-2-9b, further pre-trained with Turkish Wikipedia data to enhance Turkish text processing capabilities

Amber Base is a Japanese-English sentence encoder model based on modernbert-ja-130m, specializing in sentence similarity calculation and feature extraction tasks.

A Sanskrit-specific model fine-tuned based on Qwen2.5-7B, optimized for Sanskrit comprehension and translation

This is an automatic speech recognition (ASR) model fine-tuned from the openai/whisper-small model for Greek speech recognition tasks, trained on 3,620 Greek samples from the Mozilla Common Voice 17.0 dataset.

An English-Hindi translation model fine-tuned based on Helsinki-NLP/opus-mt-en-hi, optimized for authentic expressions for solo female travelers in India

A Thai instruction model fine-tuned based on kobkrit/thai-t5-base, supporting tasks like dialogue, Q&A, and summarization

A text summarization model fine-tuned on the XSum dataset using LoRA technology, based on the T5-small model

An automatic speech recognition model for informal Arabic, fine-tuned based on the Whisper Tiny architecture

Turkish speech recognition model fine-tuned based on OpenAI Whisper-small

A quantized version based on the m-a-p/YuE-s1-7B-anneal-en-cot model using Exllamav2, suitable for text generation tasks, particularly excelling in music-related fields.

Transformer-based bidirectional machine translation model supporting high-quality mutual translation between Czech and Polish

A Sinhala speech recognition model fine-tuned based on OpenAI Whisper-small

A Whisper model fine-tuned for the Levantine dialect (Israeli Arabic) to improve the performance of automatic speech recognition for this specific Arabic variant.

This model is a fine-tuned multilingual translation model based on NLLB-200-distilled-600M, specifically optimized for bidirectional translation between Wolof, French, and English.