This is a hybrid - language AI model specifically designed for call record analysis, capable of handling call transcription content in Hindi, English, and mixed Hindi - English. The model is fine - tuned based on Qwen2.5 - 1.5B - Instruct and has powerful multilingual understanding and information extraction capabilities.

Natural Language ProcessingTransformersMultiple Languages

Olmo-3-7B-Instruct-AIO-GGUF is a GGUF quantized version based on the Olmo-3-7B-Instruct model developed by the Allen Institute for AI. This is an autoregressive language model with 7 billion parameters, trained on datasets such as Tulu 2 and UltraFeedback through supervised fine-tuning and direct preference optimization, and performs excellently in question-answering and instruction following.

Natural Language ProcessingTransformersEnglish

This is the quantized version of the ai-sage/GigaChat3-702B-A36B-preview-bf16 model, aiming to provide the public with a free way to access knowledge. This model is a large language model focusing on text generation tasks.

Natural Language ProcessingGguf

VibeThinker-1.5B is a 1.5-billion-parameter dense language model launched by Weibo AI. It is fine-tuned based on Qwen2.5-Math-1.5B and is specifically designed for mathematical and algorithmic coding problems. Trained using the 'Spectrum to Signal Principle' framework, it outperforms larger models in multiple math competition tests. The training cost is approximately $7,800, and it supports an output of up to about 40k tokens.

Natural Language ProcessingTransformersMultiple Languages

Olmo 3 is a new generation of language model family developed by the Allen Institute for AI, including 7B and 32B instruction and thinking variants. This model performs excellently in long-chain thinking and can significantly improve the performance of reasoning tasks such as mathematics and coding. All code, checkpoints, and training details will be made public to promote the development of language model science.

Natural Language ProcessingTransformersEnglish

Olmo 3 is a new generation of language model series developed by the Allen Institute for AI, including two scales of 7B and 32B, with instruction and thinking variants. This model is pre-trained on the Dolma 3 dataset and post-trained on the Dolci dataset. It has the ability of long-chain thinking and performs excellently in reasoning tasks such as mathematics and coding.

Natural Language ProcessingTransformersEnglish

Olmo 3 is a series of language models developed by the Allen Institute for AI, including two scales of 7B and 32B, with two variants: instructional and reflective. This model performs excellently in long-chain thinking and can effectively improve the performance of reasoning tasks such as mathematics and coding. It adopts a multi-stage training method, including supervised fine-tuning, direct preference optimization, and reinforcement learning with verifiable rewards.

Natural Language ProcessingTransformersEnglish

This project provides a quantized version of the cerebras/MiniMax-M2-REAP-172B-A10B model, aiming to make knowledge accessible to the public. This is a large language model with 172 billion parameters, which has been optimized and quantized to reduce deployment costs and improve inference efficiency.

Natural Language ProcessingGguf

Olmo-3-7B-Think-DPO is a 7B parameter language model developed by the Allen Institute for AI. It has the ability of long-chain thinking and performs excellently in reasoning tasks such as mathematics and coding. This model has undergone multi-stage training including supervised fine-tuning, direct preference optimization, and reinforcement learning based on verifiable rewards, and is designed specifically for research and educational purposes.

Natural Language ProcessingTransformersEnglish

Olmo 3 is a series of language models developed by the Allen Institute for AI (Ai2), including two specifications of 7B and 32B, with two variants of Instruct and Think. This model is based on the Transformer architecture and has the ability of long-chain thinking, which can effectively improve the performance of reasoning tasks such as mathematics and coding.

Natural Language ProcessingTransformersEnglish

Olmo 3 is an open-source language model series developed by the Allen Institute for AI, available in two specifications: 7B and 32B, with two variants: Instruction and Think. This model has excellent long-chain thinking ability and can significantly improve performance in reasoning tasks such as mathematics and coding.

Natural Language ProcessingTransformersEnglish

Olmo 3 is a new family of language models developed by the Allen Institute for AI, including two scales of 7B and 32B, with two variants: Instruction and Think. This model uses long-chain thinking to improve performance in reasoning tasks such as mathematics and coding, aiming to promote the scientific development of language models.

Natural Language ProcessingTransformersEnglish

Olmo 3 7B RL-Zero Mix is a language model with 7B parameters developed by Allen AI, belonging to the Olmo 3 series. This model was pre-trained on the Dolma 3 dataset, post-trained on the Dolci dataset, and optimized for mathematical, coding, and reasoning abilities through reinforcement learning.

Natural Language ProcessingTransformersEnglish

Olmo 3 7B RL-Zero Math is a 7-billion-parameter language model developed by Allen AI, specifically optimized for mathematical reasoning tasks. It is trained on mathematical datasets using the RL-Zero reinforcement learning method, which can effectively improve mathematical reasoning ability.

Natural Language ProcessingTransformersEnglish

Trouper-12B GGUF is a text generation model developed by DarwinAnim8or based on the original model. It is specifically optimized for role-playing and creative writing scenarios. This model is fine-tuned from Mistral-Nemo-Base-12B and trained using a custom 'Actors' dataset. The generated text is more natural and avoids the common 'AI language' features.

Natural Language ProcessingGgufEnglish

Olmo-3-32B-Think-DPO is a 32B parameter language model developed by Allen AI. It is trained using Direct Preference Optimization (DPO) and has the ability of long-chain thinking reasoning. It performs excellently in complex reasoning tasks such as mathematics and coding.

Natural Language ProcessingTransformersEnglish

This is a quantized version model based on Moonshot AI technology, focusing on visual language understanding and generation tasks, and committed to lowering the threshold of knowledge acquisition and making knowledge accessible to everyone.

Natural Language ProcessingGguf

Olmo 3 is a brand - new 32B parameter language model family developed by the Allen Institute for AI (Ai2), which includes variants such as Base, Instruct, and Think. This model is trained on the Dolma 3 dataset, supports long - context processing of up to 65,536 tokens, and aims to promote the development of language model science. The model is fully open - source and follows the Apache 2.0 license.

Natural Language ProcessingTransformersEnglish

Gaperon-1125-24B is a bilingual (French-English) language model with 24 billion parameters. It has been trained on approximately 2 trillion tokens and can proficiently handle French, English, and coding tasks. This model uses the OLMo-2 architecture, aiming to achieve the best balance between large-scale, high-quality text generation and excellent task performance.

Natural Language ProcessingTransformersMultiple Languages

Svara-TTS is an open-source multilingual text-to-speech model for Indian languages, supporting 19 languages (18 Indian languages + Indian English). This model is built based on the Orpheus-style discrete audio token method, aiming to achieve clear, expressive, and low-latency speech synthesis on ordinary GPUs/CPUs.

Audio ProcessingTransformersMultiple Languages