Team Ai
20 results

llama

llamafactory /demo_data 1,000 examples from https://huggingface.co/datasets/llamafactory/alpaca_gpt4_en 1,000 examples from https://huggingface.co/datasets/llamafactory/alpaca_gpt4_zh 300 examples from https://huggingface.co/datasets/llamafactory/glaive_toolcall_en 300 examples from https://huggingface.co/datasets/llamafactory/glaive_toolcall_zh 91 examples for identity learning 300 examples from https://huggingface.co/datasets/cognitivecomputations/SystemChat-2.0 6 examples for multimodal supervised… See the full description on the dataset page: https://huggingface.co/datasets/llamafactory/demo_data.texttext-generation1K<n<10K1 likes111k downloads2y agoHugging FaceAIencoder /llama-cpp-wheelsIf you like this please consider liking and donating (https://buymeacoffee.com/aiencoder) 🏭 llama-cpp-python Mega-Factory Wheels "Stop waiting for pip to compile. Just install and run." The most complete collection of pre-built llama-cpp-python wheels in existence — 8,333 wheels across every platform, Python version, backend, and CPU optimization level. No more cmake, gcc, or compilation hell. No more waiting 10 minutes for a build that might fail. Just find your wheel and… See the full description on the dataset page: https://huggingface.co/datasets/AIencoder/llama-cpp-wheels.text-generation1K<n<10K4 likes48k downloads12d agoHugging Facellamafactory /tiny-supervised-datasettexttext-generationn<1K4 likes46k downloads2y agoHugging Facellamaindex /ParseBench ParseBench Quick links: [🌐 Website] [📜 Paper] [💻 Code] ParseBench is a benchmark for evaluating document parsing systems on real-world enterprise documents, with the following characteristics: Multi-dimensional evaluation. The benchmark is stratified into five capability dimensions — tables, charts, content faithfulness, semantic formatting, and visual grounding — each with task-specific metrics designed to capture what agentic workflows depend on. Real-world enterprise… See the full description on the dataset page: https://huggingface.co/datasets/llamaindex/ParseBench.document100K<n<1M133 likes26k downloads6mo agoHugging Facellamaindex /ExtractBench ExtractBench Quick links: [🌐 Website] [📜 Paper] [💻 Code] Given a document and a schema, a system returns structured data with evidence. The input is a full document, born-digital or scanned, and a schema written by the user. The output is a schema-valid JSON object, with the source page and a bounding box for each value as evidence. It must return correct, exhaustive values (including repeated records), correctly use null for absent information, and ground each extracted… See the full description on the dataset page: https://huggingface.co/datasets/llamaindex/ExtractBench.documentn<1K34 likes16k downloads6d agoHugging FaceNickL77 /Llama3.1-8B-BaldEagle3-Ultrachat1 likes14k downloads1y agoHugging Face