CoolFace
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datasets

Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

modalityAllTextImageAudioTabularVideo
taskAllText generationQuestion answeringImage classificationSpeech
sizeAllUnder 1K1K – 10K100K – 1M1M – 10M
formatAllParquetJSONCSVWebDataset
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01HYUNJINI /AXXXX_jssp_policy_step_train_dispatch_v1tabular1M<n<10M0 likes299 downloads6mo agoHugging Face02dispatchAI /model-categories Model Categories 31 working models organized by use case. 🚀 dispatchAI tabularn<1K0 likes34 downloads3mo agoHugging Face03HYUNJINI /AXXXX_jssp_mixed_step_train_dispatch_v1tabular1M<n<10M0 likes30 downloads6mo agoHugging Face04dispatchAI /cost-analysis Cost Analysis Cloud API vs on-device inference cost comparison. At 10K queries/day: Save $18,249/year with on-device. At 100K queries/day: Save $182,499/year. 🚀 dispatchAI tabularn<1K0 likes19 downloads3mo agoHugging Face05dispatchAI /on-device-latency On-Device Latency Benchmark Real-world inference latency data for mobile-optimized LLMs, measured on actual phone hardware. Hardware Spec Value Device Samsung S20 FE 5G SoC Snapdragon 865 RAM 8GB OS Android 13 Runtime llama.cpp (4 threads) Metrics tokens_per_sec — Generation speed during inference latency_ms_per_token — Time per generated token ram_usage_mb — Peak RAM during inference file_size_mb — GGUF model file size… See the full description on the dataset page: https://huggingface.co/datasets/dispatchAI/on-device-latency.tabulartext-generationn<1K0 likes18 downloads3mo agoHugging Face06dispatchAI /hardware-profiles Hardware Profiles Phone hardware profiles for estimating mobile LLM inference speed. Snapdragon 865 (Samsung S20 FE) is the verified baseline. 🚀 dispatchAI tabularn<1K0 likes18 downloads3mo agoHugging Face07dispatchAI /speed-ranking Speed Ranking All 31 working dispatchAI models ranked by CPU inference speed. 🚀 dispatchAI tabularn<1K0 likes17 downloads3mo agoHugging Face08dispatchAI /speed-benchmark Speed Benchmark CPU inference speed for all 22 verified dispatchAI models. Measured with llama-cpp-python (8 threads, 512 context). 🚀 dispatchAI tabularn<1K0 likes16 downloads3mo agoHugging Face09dispatchAI /all-verified-benchmarks All Verified Benchmarks Real CPU benchmark data for ALL 31 working dispatchAI models. Zero broken models. Zero partial models. All verified. 🚀 dispatchAI tabularn<1K0 likes16 downloads3mo agoHugging Face10dispatchAI /model-comparison Model Comparison: Original vs Mobile Shows the size reduction achieved by dispatchAI's re-engineering. Model Original Mobile Reduction SmolLM2-135M 270MB 101MB 62.6% Qwen2.5-0.5B 1000MB 469MB 53.1% Llama-3.2-1B 2500MB 770MB 69.2% 🚀 dispatchAI tabularn<1K0 likes15 downloads3mo agoHugging Face11dispatchAI /detailed-comparison Detailed Comparison Real verified data for all 31 working models. Includes speed-per-MB efficiency metric. 🚀 dispatchAI tabularn<1K0 likes14 downloads3mo agoHugging Face12ggtejas /dispatchr-grpo-runstabular1K<n<10K0 likes7 downloads5mo agoHugging Face13dispatchAI /efficiency-ranking Efficiency Ranking Models ranked by tokens-per-second per MB of file size. Higher = more efficient. 🚀 dispatchAI tabularn<1K0 likes7 downloads3mo agoHugging Face14HYUNJINI /data_fix_before_jssp_policy_step_train_dispatch_v1tabular1M<n<10M0 likes4 downloads6mo agoHugging Face15HYUNJINI /data_fix_before_jssp_mixed_step_train_dispatch_v1tabular1M<n<10M0 likes4 downloads6mo agoHugging Face16HYUNJINI /data_fix_before_jssp_reason_step_train_dispatch_v1tabular1M<n<10M0 likes1 downloads6mo agoHugging Face17HYUNJINI /jssp_policy_step_train_dispatch_v1tabular1M<n<10M0 likes1 downloads6mo agoHugging Face18yhc2222 /jssp_policy_step_train_dispatch_v1tabular1M<n<10M0 likes1 downloads5mo agoHugging Face

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