llm-checker

{ "models": [ { "model_identifier": "gpt-oss", "model_name": "gpt-oss", "description": "", "labels": [], "pulls": 0, "tags": [ "gpt-oss:latest", "gpt-oss:20b", "gpt-oss:120b" ], "last_updated": "Unknown", "url": "https://ollama.com/library/gpt-oss", "namespace": null, "model_type": "official", "variants": [ { "tag": "gpt-oss:latest", "size": "unknown", "quantization": "Q4_0", "command": "ollama pull gpt-oss:latest", "estimated_size_gb": 1, "real_size_gb": 14, "categories": [ "chat", "general", "reasoning" ] }, { "tag": "gpt-oss:20b", "size": "20b", "quantization": "Q4_0", "command": "ollama pull gpt-oss:20b", "estimated_size_gb": 20, "real_size_gb": 14, "categories": [ "chat", "general", "reasoning" ] }, { "tag": "gpt-oss:120b", "size": "120b", "quantization": "Q4_0", "command": "ollama pull gpt-oss:120b", "estimated_size_gb": 120, "real_size_gb": 65, "categories": [ "chat", "general", "reasoning" ] } ], "detailed_description": "OpenAI’s open-weight models designed for powerful 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12, "real_size_gb": 8.1, "categories": [ "chat" ] }, { "tag": "gemma3:27b", "size": "27b", "quantization": "Q4_0", "command": "ollama pull gemma3:27b", "estimated_size_gb": 27, "real_size_gb": 17, "categories": [ "chat" ] }, { "tag": "gemma3:1b-it-qat", "size": "1b", "quantization": "Q4_0", "command": "ollama pull gemma3:1b-it-qat", "estimated_size_gb": 1, "real_size_gb": 1, "categories": [ "chat" ] }, { "tag": "gemma3:4b-it-qat", "size": "4b", "quantization": "Q4_0", "command": "ollama pull gemma3:4b-it-qat", "estimated_size_gb": 4, "real_size_gb": 4, "categories": [ "chat" ] }, { "tag": "gemma3:12b-it-qat", "size": "12b", "quantization": "Q4_0", "command": "ollama pull gemma3:12b-it-qat", "estimated_size_gb": 12, "real_size_gb": 12, "categories": [ "chat" ] }, { "tag": "gemma3:27b-it-qat", "size": "27b", "quantization": "Q4_0", "command": "ollama pull gemma3:27b-it-qat", "estimated_size_gb": 27, "real_size_gb": 27, "categories": [ "chat" ] }, { "tag": "gemma3:latest", "size": "unknown", "quantization": "Q4_0", "command": "ollama pull gemma3:latest", "estimated_size_gb": 1, "real_size_gb": 3.3, "categories": [ "chat" ] } ], "detailed_description": "The current, most capable model that runs on a single GPU.", "parameters": {}, "quantizations": [], "model_sizes": [ "1b", "4b", "12b", "27b", "3.3gb", "8.1gb", "17gb" ], "category": "talking", "use_cases": [ "chat", "conversation", "assistant" ], "main_size": "1b", "actual_pulls": 0, "context_length": "128K", "input_types": [ "text", "image", "code" ], "detailed_scraped_at": "2025-08-14T08:51:15.839Z", "categories": [ "chat" ], "primary_category": "chat" }, { "model_identifier": "qwen3", "model_name": "qwen3", "description": "", "labels": [], "pulls": 0, "tags": [ "qwen3:30b", "qwen3:235b", "qwen3:latest", "qwen3:0.6b", "qwen3:1.7b", "qwen3:4b", "qwen3:8b", "qwen3:14b", "qwen3:32b" ], "last_updated": "Unknown", "url": "https://ollama.com/library/qwen3", "namespace": null, "model_type": "official", "variants": [ { 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"main_size": "0.6b", "actual_pulls": 0, "context_length": "256K", "input_types": [ "text", "image", "code" ], "detailed_scraped_at": "2025-08-14T08:51:15.906Z", "categories": [ "chat" ], "primary_category": "chat" }, { "model_identifier": "llama3.1", "model_name": "llama3.1", "description": "", "labels": [], "pulls": 0, "tags": [ "llama3.1:latest", "llama3.1:8b", "llama3.1:70b", "llama3.1:405b" ], "last_updated": "Unknown", "url": "https://ollama.com/library/llama3.1", "namespace": null, "model_type": "official", "variants": [ { "tag": "llama3.1:latest", "size": "unknown", "quantization": "Q4_0", "command": "ollama pull llama3.1:latest", "estimated_size_gb": 1, "real_size_gb": 4.9, "categories": [ "chat" ] }, { "tag": "llama3.1:8b", "size": "8b", "quantization": "Q4_0", "command": "ollama pull llama3.1:8b", "estimated_size_gb": 8, "real_size_gb": 4.9, "categories": [ "chat" ] }, { "tag": "llama3.1:70b", "size": "70b", "quantization": "Q4_0", "command": "ollama pull llama3.1:70b", "estimated_size_gb": 70, "real_size_gb": 43, "categories": [ "chat" ] }, { "tag": "llama3.1:405b", "size": "405b", "quantization": "Q4_0", "command": "ollama pull llama3.1:405b", "estimated_size_gb": 405, "real_size_gb": 243, "categories": [ "chat" ] } ], "detailed_description": "Llama 3.1 is a new state-of-the-art model from Meta available in 8B, 70B and 405B parameter sizes.", "parameters": {}, "quantizations": [], "model_sizes": [ "8b", "70b", "405b", "4.9gb", "43gb", "243gb", "952b" ], "category": "talking", "use_cases": [ "chat", "conversation", "assistant" ], "main_size": "8b", "actual_pulls": 0, "context_length": "128K", "input_types": [ "text", "image", "code" ], "detailed_scraped_at": "2025-08-14T08:51:15.978Z", "categories": [ "chat" ], "primary_category": "chat" }, { "model_identifier": "nomic-embed-text", "model_name": "nomic-embed-text", "description": "", "labels": [], "pulls": 0, "tags": [ "nomic-embed-text:latest", "nomic-embed-text:v1.5" ], "last_updated": "Unknown", "url": "https://ollama.com/library/nomic-embed-text", "namespace": null, "model_type": "official", "variants": [ { "tag": "nomic-embed-text:latest", "size": "unknown", "quantization": "Q4_0", "command": "ollama pull nomic-embed-text:latest", "estimated_size_gb": 1, "real_size_gb": 0.267578125, "categories": [ "chat", "embeddings" ] }, { "tag": "nomic-embed-text:v1.5", "size": "unknown", "quantization": "Q4_0", "command": "ollama pull nomic-embed-text:v1.5", "estimated_size_gb": 1, "real_size_gb": 0.267578125, "categories": [ "chat", "embeddings" ] } ], "detailed_description": "A high-performing open embedding model with a large token context window.", "parameters": {}, "quantizations": [], "model_sizes": [], "category": "embeddings", "use_cases": [ "embeddings", "search", "similarity" ], "main_size": "Unknown", "actual_pulls": 0, "context_length": "2K", "input_types": [ "text", "image", "code" ], "detailed_scraped_at": "2025-08-14T08:51:17.267Z", "categories": [ "chat", "embeddings" ], "primary_category": "embeddings" }, { "model_identifier": "llama3.2", "model_name": "llama3.2", "description": "", "labels": [], "pulls": 0, "tags": [ "llama3.2:1b", "llama3.2:latest", "llama3.2:3b" ], "last_updated": "Unknown", "url": "https://ollama.com/library/llama3.2", "namespace": null, "model_type": "official", "variants": [ { "tag": "llama3.2:1b", "size": "1b", "quantization": "Q4_0", "command": "ollama pull llama3.2:1b", "estimated_size_gb": 1, "real_size_gb": 1.3, "categories": [ "chat" ] }, { "tag": "llama3.2:latest", "size": "unknown", "quantization": "Q4_0", "command": "ollama pull llama3.2:latest", "estimated_size_gb": 1, "real_size_gb": 2, "categories": [ "chat" ] }, { "tag": "llama3.2:3b", "size": "3b", "quantization": "Q4_0", "command": "ollama pull llama3.2:3b", "estimated_size_gb": 3, "real_size_gb": 2, "categories": [ "chat" ] } ], "detailed_description": "Meta's Llama 3.2 goes small with 1B and 3B models.", "parameters": {}, "quantizations": [], "model_sizes": [ "1b", "3b", "2.0gb", "1.3gb", "929b", "2.6b" ], "category": "talking", "use_cases": [ "chat", "conversation", "assistant" ], "main_size": "1b", "actual_pulls": 0, "context_length": "128K", "input_types": [ "text", "image", "code" ], "detailed_scraped_at": "2025-08-14T08:51:17.301Z", "categories": [ "chat" ], "primary_category": "chat" }, { "model_identifier": "mistral", "model_name": "mistral", "description": "", "labels": [], "pulls": 0, "tags": [ "mistral:latest", "mistral:7b" ], "last_updated": "Unknown", "url": "https://ollama.com/library/mistral", "namespace": null, "model_type": "official", "variants": [ { "tag": "mistral:latest", "size": "unknown", "quantization": "Q4_0", "command": "ollama pull mistral:latest", "estimated_size_gb": 1, "real_size_gb": 4.4, "categories": [ "chat" ] }, { "tag": "mistral:7b", "size": "7b", "quantization": "Q4_0", "command": "ollama pull mistral:7b", "estimated_size_gb": 7, "real_size_gb": 4.4, "categories": [ "chat" ] } ], "detailed_description": 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}, { "tag": "qwen2.5:0.5b", "size": "0.5b", "quantization": "Q4_0", "command": "ollama pull qwen2.5:0.5b", "estimated_size_gb": 0.5, "real_size_gb": 0.388671875, "categories": [ "chat" ] }, { "tag": "qwen2.5:1.5b", "size": "1.5b", "quantization": "Q4_0", "command": "ollama pull qwen2.5:1.5b", "estimated_size_gb": 1.5, "real_size_gb": 0.962890625, "categories": [ "chat" ] }, { "tag": "qwen2.5:3b", "size": "3b", "quantization": "Q4_0", "command": "ollama pull qwen2.5:3b", "estimated_size_gb": 3, "real_size_gb": 1.9, "categories": [ "chat" ] }, { "tag": "qwen2.5:7b", "size": "7b", "quantization": "Q4_0", "command": "ollama pull qwen2.5:7b", "estimated_size_gb": 7, "real_size_gb": 4.7, "categories": [ "chat" ] }, { "tag": "qwen2.5:14b", "size": "14b", "quantization": "Q4_0", "command": "ollama pull qwen2.5:14b", "estimated_size_gb": 14, "real_size_gb": 9, "categories": [ "chat" ] }, { "tag": "qwen2.5:32b", "size": "32b", "quantization": "Q4_0", "command": "ollama pull qwen2.5:32b", "estimated_size_gb": 32, "real_size_gb": 20, "categories": [ "chat" ] }, { "tag": "qwen2.5:72b", "size": "72b", "quantization": "Q4_0", "command": "ollama pull qwen2.5:72b", "estimated_size_gb": 72, "real_size_gb": 47, "categories": [ "chat" ] } ], "detailed_description": "Qwen2.5 models are pretrained on Alibaba's latest large-scale dataset, encompassing up to 18 trillion tokens. 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