llama3.1
Llama 3.1 is a new state-of-the-art model from Meta available in 8B, 70B and 405B parameter sizes.
⬇ 118.4M indirme · 93 varyant · 12.2024
Kendi bilgisayarınızda veya sunucunuzda ücretsiz çalıştırabileceğiniz modeller. Katalog ollama.com kütüphanesiyle canlı senkrondur · Son senkron: 13.08.2026 22:48.
89 model
Llama 3.1 is a new state-of-the-art model from Meta available in 8B, 70B and 405B parameter sizes.
⬇ 118.4M indirme · 93 varyant · 12.2024
DeepSeek-R1 is a family of open reasoning models with performance approaching that of leading models, such as O3 and Gemini 2.5 Pro.
⬇ 91.3M indirme · 35 varyant · 07.2025
Meta's Llama 3.2 goes small with 1B and 3B models.
⬇ 80M indirme · 63 varyant · 09.2024
Qwen2.5 models are pretrained on Alibaba's latest large-scale dataset, encompassing up to 18 trillion tokens. The model supports up to 128K tokens and has multilingual support.
⬇ 36.8M indirme · 133 varyant · 09.2024
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.
⬇ 34.1M indirme · 58 varyant · 10.2025
The 7B model released by Mistral AI, updated to version 0.3.
⬇ 31.9M indirme · 84 varyant · 07.2025
Gemma 4 models are designed to deliver frontier-level performance at each size. They are well-suited for reasoning, agentic workflows, coding, and multimodal understanding.
⬇ 22M indirme · 49 varyant · 07.2026
The latest series of Code-Specific Qwen models, with significant improvements in code generation, code reasoning, and code fixing.
⬇ 20.3M indirme · 199 varyant · 05.2025
Qwen 3.5 is a family of open-source multimodal models that delivers exceptional utility and performance.
⬇ 17.4M indirme · 64 varyant · 05.2026
OpenAI’s open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases.
⬇ 11.7M indirme · 5 varyant · 10.2025
Alibaba's performant long context models for agentic and coding tasks.
⬇ 8.2M indirme · 9 varyant · 09.2025
GLM-OCR is a multimodal OCR model for complex document understanding, built on the GLM-V encoder–decoder architecture.
⬇ 7M indirme · 3 varyant · 02.2026
Qwen2 is a new series of large language models from Alibaba group
⬇ 6.1M indirme · 97 varyant · 09.2024
Qwen3.6 delivers substantial upgrades in agentic coding and thinking preservation than previous Qwen models.
⬇ 5.7M indirme · 30 varyant · 08.2026
A state-of-the-art 12B model with 128k context length, built by Mistral AI in collaboration with NVIDIA.
⬇ 5.6M indirme · 17 varyant · 07.2025
The most powerful vision-language model in the Qwen model family to date.
⬇ 5.2M indirme · 57 varyant · 10.2025
New state of the art 70B model. Llama 3.3 70B offers similar performance compared to the Llama 3.1 405B model.
⬇ 4.1M indirme · 14 varyant · 12.2024
SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters.
⬇ 3.9M indirme · 49 varyant · 11.2024
Mistral Small 3 sets a new benchmark in the “small” Large Language Models category below 70B.
⬇ 3.1M indirme · 21 varyant · 01.2025
The IBM Granite 1B and 3B models are long-context mixture of experts (MoE) Granite models from IBM designed for low latency usage.
⬇ 3M indirme · 33 varyant · 01.2025
NVIDIA Nemotron 3 Super is a 120B open MoE model activating just 12B parameters to deliver maximum compute efficiency and accuracy for complex multi-agent applications.
⬇ 2.9M indirme · 7 varyant · 03.2026
A set of Mixture of Experts (MoE) model with open weights by Mistral AI in 8x7b and 8x22b parameter sizes.
⬇ 2.8M indirme · 70 varyant · 12.2024
An update to Mistral Small that improves on function calling, instruction following, and less repetition errors.
⬇ 2.4M indirme · 5 varyant · 06.2025
QwQ is the reasoning model of the Qwen series.
⬇ 2.3M indirme · 8 varyant · 03.2025
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