Cogito v2.1 is a 671 billion parameter mixture-of-experts generative model fine-tuned on instructions. It is released under an open license and supports commercial use. This model can effectively solve complex reasoning and instruction-following problems, and supports over 30 languages and a 128k context length.

Natural Language ProcessingTransformers

DeepSeek-GRM-16B is a generative reward model based on Self-Principled Critique Tuning (SPCT), which can generate a transparent 'Principle → Critique → Score' evaluation process for query-responses and can be used in tasks such as reinforcement learning, evaluation, and data collection of large language models.

Natural Language ProcessingTransformersMultiple Languages

RedQueen Llama 3.2 3B is a generative Q&A model designed specifically for Sinhala. It uses a two-stage fine-tuning process. First, it builds the language foundation, and then it adapts to the Q&A task. This model performs excellently in Sinhala language understanding and Q&A generation tasks and has 3 billion parameters.

Natural Language ProcessingTransformersOther

Cogito v2 is a generative hybrid inference model fine-tuned by instructions. It uses iterative distillation and amplification training methods and performs excellently in coding, STEM, instruction following, etc. It supports over 30 languages and a 128k context length.

Natural Language ProcessingTransformers

Cogito v2 is a generative large language model fine-tuned with instructions, adopting a mixture-of-experts architecture and having 109 billion parameters. This model supports multilingual processing and long-context reasoning, and performs excellently in fields such as coding and STEM. It supports commercial use.

Natural Language ProcessingTransformers

Cogito v2 is a generative large language model based on instruction tuning, with hybrid reasoning ability, supporting a 128k context length and multilingual processing. This model adopts the Iterative Distillation and Amplification (IDA) training strategy and performs excellently in tasks such as coding, STEM, and instruction following.

Natural Language ProcessingTransformers

Cogito v2 is an instruction-tuned generative model based on Llama-3.1-70B. It has hybrid inference capabilities, supports multiple languages and long contexts, and performs excellently in areas such as coding and STEM. It adopts an iterative distillation and amplification training strategy and can be used for commercial purposes.

Natural Language ProcessingTransformers

Nous Consilience 40B is a 40-billion-parameter generative text model, pre-trained from scratch in a decentralized manner, supporting multiple languages and representing diverse human creative output.

Natural Language ProcessingSafetensorsMultiple Languages

Mistral-7B-v0.1 is a pre-trained generative large language model with 7 billion parameters, which outperforms the Llama 2 13B model in multiple benchmark tests. It adopts an advanced Transformer architecture design, including Grouped Query Attention and Sliding Window Attention mechanisms.

Natural Language ProcessingPytorchEnglish

Nous Consilience 40B is a 40-billion-parameter generative text model pretrained from scratch in a decentralized manner, supporting multiple languages and designed to represent the broad spectrum of human creative output.

Natural Language ProcessingSafetensorsMultiple Languages

Llama 3.2 is a collection of 1B and 3B parameter-scale multilingual generative models released by Meta, optimized for dialogue scenarios and supporting various language tasks.

Natural Language ProcessingGgufMultiple Languages

The Meta Llama 3.1 series is a collection of multilingual large language models (LLMs), including pre-trained and instruction-tuned generative models in 8B, 70B, and 405B sizes. The 8B version is optimized for multilingual dialogue use cases and excels in common benchmarks.

Natural Language ProcessingGgufMultiple Languages

Bielik-4.5B-v3-Instruct is a 4.6 billion parameter Polish generative text model, fine-tuned based on Bielik-4.5B-v3, demonstrating exceptional Polish language comprehension and processing capabilities.

Natural Language ProcessingTransformersOther

Cogito v1 Preview is an instruction-tuned generative model based on Qwen2.5-32B, supporting over 30 languages with a context length of 128k, optimized for programming, STEM, instruction following, and general assistance.

Natural Language ProcessingTransformers

Trendyol LLM v4.1.0 is a generative model based on Trendyol LLM base v4.0 (a Qwen2.5 7B version further pre-trained on 13 billion tokens), specializing in e-commerce and Turkish language understanding.

Natural Language ProcessingSafetensorsOther

TIPO is a text-to-image prompt optimization system based on text pre-sampling, which enhances the quality and usability of generative models by optimizing user input prompts through large language models.

MultimodalGgufEnglish

Llama 3.2 is a 1B and 3B parameter-scale multilingual pre-trained and instruction-tuned generative model from Meta, optimized for multilingual dialogue use cases and supporting 8 official languages.

Natural Language ProcessingPytorchMultiple Languages

Llama 3.2 is a collection of multilingual large language models launched by Meta, including pre-trained and instruction-tuned generative models of 1B and 3B sizes. It is optimized for multilingual dialogue use cases and performs well in common industry benchmark tests.

Natural Language ProcessingTransformersMultiple Languages

Llama-3.2-3B is a multilingual large language model released by Meta, featuring a 3B-parameter pre-trained and instruction-tuned generative model optimized for multilingual dialogue use cases.

Natural Language ProcessingGgufEnglish

Llama 3.2 is a multilingual large language model series developed by Meta, including 1B and 3B scale pre-trained and instruction-tuned generative models, optimized for multilingual dialogue scenarios, supporting text input/output.

Natural Language ProcessingTransformersMultiple Languages