GLM-OCR is a multimodal OCR model for complex document understanding, built on the GLM-V encoder–decoder architecture.
6.2M Pulls 3 Tags Updated 5 months ago
GLM-5.1 is our next-generation flagship model for agentic engineering, with significantly stronger coding capabilities than its predecessor. It achieves state-of-the-art performance on SWE-Bench Pro and leads GLM-5 by a wide margin.
2.3M Pulls 1 Tag Updated 3 months ago
GLM-5.2 is Z.ai’s flagship model for the era of long-horizon tasks.
265.5K Pulls 1 Tag Updated 1 month ago
As the strongest model in the 30B class, GLM-4.7-Flash offers a new option for lightweight deployment that balances performance and efficiency.
1.4M Pulls 4 Tags Updated 1 month ago
A strong multi-lingual general language model with competitive performance to Llama 3.
1.2M Pulls 32 Tags Updated 2 years ago
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.
19.5M Pulls 49 Tags Updated 3 weeks ago
Granite Guardian 4.1 is a specialized safety and judging model from IBM Research that evaluates whether LLM prompts and responses meet specified harm criteria.
5,760 Pulls 16 Tags Updated 1 month ago
Gemma is a family of lightweight, state-of-the-art open models built by Google DeepMind. Updated to version 1.1
7.3M Pulls 102 Tags Updated 2 years ago
The IBM Granite 1B and 3B models are long-context mixture of experts (MoE) Granite models from IBM designed for low latency usage.
3M Pulls 33 Tags Updated 1 year ago
IBM Granite 2B and 8B models are 128K context length language models that have been fine-tuned for improved reasoning and instruction-following capabilities.
1.1M Pulls 3 Tags Updated 1 year ago
A compact and efficient vision-language model, specifically designed for visual document understanding, enabling automated content extraction from tables, charts, infographics, plots, diagrams, and more.
951K Pulls 5 Tags Updated 1 year ago
The IBM Granite 2B and 8B models are text-only dense LLMs trained on over 12 trillion tokens of data, demonstrated significant improvements over their predecessors in performance and speed in IBM’s initial testing.
994.3K Pulls 33 Tags Updated 1 year ago
Granite-3.2 is a family of long-context AI models from IBM Granite fine-tuned for thinking capabilities.
445.7K Pulls 9 Tags Updated 1 year ago
A language model created by combining two fine-tuned Llama 2 70B models into one.
467K Pulls 16 Tags Updated 2 years ago
IBM Granite Models are a family of enterprise-ready, open foundation models that support multilingual capabilities, coding, retrieval-augmented generation (RAG), tool use, and structured JSON output. Released under Apache 2.0 license.
279.5K Pulls 48 Tags Updated 2 months ago
A GPT-4o Level MLLM for Single Image, Multi Image and High-FPS Video Understanding on Your Phone
17.2K Pulls 13 Tags Updated 1 month ago
Granite 4 features improved instruction following (IF) and tool-calling capabilities, making them more effective in enterprise applications.
1.4M Pulls 17 Tags Updated 8 months ago
Model to analyze log files and help troubleshoot errors based on ministral-3:3b model
69 Pulls 1 Tag Updated 5 months ago
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.
32.8M Pulls 58 Tags Updated 9 months ago
The current, most capable model that runs on a single GPU.
38.9M Pulls 26 Tags Updated 11 months ago