docs.

\n","classNames":"hf-sanitized hf-sanitized-ttLjb4l7CPFlb3c0icVon"},"users":[{"_id":"62d648291fa3e4e7ae3fa6e8","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/62d648291fa3e4e7ae3fa6e8/oatOwf8Xqe5eDbCSuYqCd.png","isPro":true,"fullname":"ben burtenshaw","user":"burtenshaw","type":"user"}],"userCount":1,"collections":[{"slug":"argilla/synthetic-data-generator-67597780bd2f3e379811bcbf","title":"Synthetic Data Generator","description":"A collection of tools and datasets related to no-code the Synthetic Data Generation.","gating":false,"lastUpdated":"2025-02-10T17:21:32.207Z","owner":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"items":[{"_id":"6759d2431eb593cd094e6cf1","position":1,"type":"space","note":{"html":"Also available as library: https://github.com/huggingface/autotrain-advanced","text":"Also available as library: https://github.com/huggingface/autotrain-advanced"},"author":"autotrain-projects","authorData":{"_id":"64061a8da577649430c0262b","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1678121762792-5fa19f4ba13e063b8b2b5e11.png","fullname":"AutoTrain Projects","name":"autotrain-projects","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":130,"isUserFollowing":false},"colorFrom":"blue","colorTo":"green","createdAt":"2023-04-13T13:30:38.000Z","emoji":"🚀","id":"autotrain-projects/autotrain-advanced","lastModified":"2024-12-30T10:28:00.000Z","likes":120,"pinned":false,"private":false,"sdk":"docker","repoType":"space","runtime":{"stage":"RUNNING","hardware":{"current":"cpu-basic","requested":"cpu-basic"},"storage":null,"gcTimeout":86400,"replicas":{"current":1,"requested":1},"devMode":false,"domains":[{"domain":"autotrain-projects-autotrain-advanced.hf.space","stage":"READY"}],"sha":"f9393168b756da3a4dbe28eef5068180cd7320bc"},"shortDescription":"Create powerful AI models without code","title":"AutoTrain Advanced","isLikedByUser":false,"ai_short_description":"Display an error message for unduplicated space","ai_category":"Other","trendingScore":1,"tags":["docker","autotrain","region:us"],"featured":false},{"_id":"6761a4cccf56ce09ea28a29b","position":2,"type":"space","author":"davidberenstein1957","authorData":{"_id":"634ff41ff32062e9eb7b06a3","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1677141720071-634ff41ff32062e9eb7b06a3.jpeg","fullname":"David Berenstein","name":"davidberenstein1957","type":"user","isPro":true,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":633,"isUserFollowing":false},"colorFrom":"pink","colorTo":"yellow","createdAt":"2024-12-12T15:56:55.000Z","emoji":"🐇","id":"davidberenstein1957/transformers-pipeline-playground","lastModified":"2024-12-17T16:19:46.000Z","likes":9,"pinned":true,"private":false,"sdk":"gradio","repoType":"space","runtime":{"stage":"RUNNING","hardware":{"current":"cpu-basic","requested":"cpu-basic"},"storage":null,"gcTimeout":172800,"errorMessage":null,"replicas":{"current":1,"requested":1},"devMode":false,"domains":[{"domain":"davidberenstein1957-transformers-pipeline-playground.hf.space","stage":"READY"}],"sha":"9754519ee76da9d327815b70e28fee6e377d8372"},"shortDescription":"Search, load and play with transformer pipelines","title":"Transformers Pipeline Playground","isLikedByUser":false,"ai_short_description":"Explore and test Hugging Face models with Gradio","ai_category":"Text Generation","trendingScore":0,"tags":["gradio","region:us"],"featured":false},{"_id":"675977ae4789e6fd3aafcf5e","position":3,"type":"space","author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"colorFrom":"pink","colorTo":"yellow","createdAt":"2024-10-14T12:59:07.000Z","emoji":"🧬✍","id":"argilla/synthetic-data-generator-argilla-reviewer","lastModified":"2025-02-06T15:15:19.000Z","likes":7,"pinned":true,"private":false,"sdk":"docker","repoType":"space","runtime":{"stage":"RUNNING","hardware":{"current":"cpu-xl","requested":"cpu-xl"},"storage":"small","gcTimeout":172800,"errorMessage":null,"replicas":{"current":1,"requested":1},"devMode":false,"domains":[{"domain":"argilla-synthetic-data-generator-argilla-reviewer.hf.space","stage":"READY"}],"sha":"a22b7857eb8c24c1474de646d6901602b54da1c1"},"shortDescription":"Review datasets created with the Synthetic Data Generator","title":"Synthetic Data Generator Argilla Reviewer","isLikedByUser":false,"trendingScore":0,"tags":["docker","argilla","region:us"],"featured":false},{"_id":"6759c1db19710700e35f0844","position":4,"type":"dataset","author":"argilla","downloads":16,"gated":false,"id":"argilla/synthetic-sft-customer-support-single-turn","lastModified":"2024-12-11T16:42:58.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":100,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":7,"isLikedByUser":false,"isBenchmark":false}],"position":1,"theme":"indigo","private":false,"shareUrl":"https://hf.co/collections/argilla/synthetic-data-generator","upvotes":12,"isUpvotedByUser":false},{"slug":"argilla/datasets-built-with-distilabel-65733e3d3e0cb21bc7b09b80","title":"Datasets built with ⚗️ distilabel","description":"This collection contains some datasets generated and/or labelled using https://github.com/argilla-io/distilabel","gating":false,"lastUpdated":"2024-12-11T11:28:50.983Z","owner":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"items":[{"_id":"66a90486d0a8819d669f727b","position":0,"type":"space","author":"davidberenstein1957","authorData":{"_id":"634ff41ff32062e9eb7b06a3","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1677141720071-634ff41ff32062e9eb7b06a3.jpeg","fullname":"David Berenstein","name":"davidberenstein1957","type":"user","isPro":true,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":633,"isUserFollowing":false},"colorFrom":"purple","colorTo":"yellow","createdAt":"2024-07-25T18:22:09.000Z","emoji":"⚗️","id":"davidberenstein1957/distilabel-synthetic-data-pipeline-explorer","lastModified":"2024-07-27T08:09:31.000Z","likes":15,"pinned":false,"private":false,"sdk":"gradio","repoType":"space","runtime":{"stage":"RUNTIME_ERROR","hardware":{"current":null,"requested":"cpu-basic"},"storage":null,"gcTimeout":172800,"errorMessage":"Exit code: ?. Reason: ","replicas":{"requested":1},"devMode":false,"domains":[{"domain":"davidberenstein1957-distilabel-synthetic-data-pi-6439850.hf.space","stage":"READY"}]},"title":"Distilabel Synthetic Data Pipeline Finder","isLikedByUser":false,"ai_short_description":"Find and view synthetic data pipelines on Hugging Face","ai_category":"Dataset Creation","trendingScore":0,"tags":["gradio","region:us"],"featured":false},{"_id":"660ee6db0f7e1fd80f753361","position":1,"type":"dataset","author":"argilla","downloads":453,"gated":false,"id":"argilla/distilabel-capybara-dpo-7k-binarized","lastModified":"2024-07-16T13:30:29.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":7563,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["tabular","text"]},"private":false,"repoType":"dataset","likes":182,"isLikedByUser":false,"isBenchmark":false},{"_id":"659eb3b7093c6cb6a9270ef7","position":2,"type":"dataset","author":"argilla","downloads":2368,"gated":false,"id":"argilla/distilabel-intel-orca-dpo-pairs","lastModified":"2025-08-07T08:10:47.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":12859,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":181,"isLikedByUser":false,"isBenchmark":false},{"_id":"65733e6c30a4401dfb22f0c8","position":3,"type":"dataset","note":{"html":"A subset of 1000 samples from `nvidia/HelpSteer` for helpfulness generated using AIF from OpenAI's GPT-4, following HelpSteer's approach but using AIF over human annotators.","text":"A subset of 1000 samples from `nvidia/HelpSteer` for helpfulness generated using AIF from OpenAI's GPT-4, following HelpSteer's approach but using AIF over human annotators."},"author":"alvarobartt","downloads":22,"gated":false,"id":"alvarobartt/HelpSteer-AIF","lastModified":"2024-02-06T07:32:41.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":1000,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["tabular","text"]},"private":false,"repoType":"dataset","likes":6,"isLikedByUser":false,"isBenchmark":false}],"position":2,"theme":"blue","private":false,"shareUrl":"https://hf.co/collections/argilla/datasets-built-with-distilabel","upvotes":12,"isUpvotedByUser":false},{"slug":"argilla/open-image-generation-models-670d0deb06ebd60a1e3040d5","title":"Open Image Generation Models","description":"A collection of models that are open source equivalents of flux-schnell and flux-dev.","gating":false,"lastUpdated":"2024-12-11T11:28:50.972Z","owner":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"items":[{"_id":"670d0e3f41d6a67325de5ae1","position":0,"type":"model","author":"ostris","authorData":{"_id":"643cb43e6eeb746f5ad81c26","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/643cb43e6eeb746f5ad81c26/_DUtzHpNtpTeDw7u0oYyX.png","fullname":"Ostris","name":"ostris","type":"user","isPro":true,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":1058,"isUserFollowing":false},"downloads":443,"gated":false,"id":"ostris/OpenFLUX.1","availableInferenceProviders":[],"lastModified":"2024-10-03T21:53:07.000Z","likes":678,"pipeline_tag":"text-to-image","private":false,"repoType":"model","isLikedByUser":false},{"_id":"670d0e46606041b1f1eded45","position":1,"type":"model","author":"OnomaAIResearch","authorData":{"_id":"66d967b087fc590d9c717da4","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/65eea2d62cc24ebc6dbe16c0/SkukAZia2lK1KCenIjbtf.png","fullname":"OnomaAI","name":"OnomaAIResearch","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":420,"isUserFollowing":false},"downloads":74124,"gated":false,"id":"OnomaAIResearch/Illustrious-xl-early-release-v0","availableInferenceProviders":[],"lastModified":"2025-02-13T01:56:00.000Z","likes":419,"pipeline_tag":"text-to-image","private":false,"repoType":"model","isLikedByUser":false},{"_id":"670d0e4d75ee7bc7e69b1919","position":2,"type":"model","author":"black-forest-labs","authorData":{"_id":"66aa705a6620cd2c481ed9c0","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/633f7a8f4be90e06da248e0f/m5YoF33abJ09vcwFxt1Mj.png","fullname":"Black Forest Labs","name":"black-forest-labs","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"plan":"team","followerCount":34227,"isUserFollowing":false},"downloads":667009,"gated":"auto","id":"black-forest-labs/FLUX.1-schnell","availableInferenceProviders":[{"provider":"wavespeed","modelStatus":"live","providerStatus":"live","providerId":"wavespeed-ai/flux-schnell","task":"text-to-image","adapterWeightsPath":"ae.safetensors","isCheapestPricingOutput":false,"isFastestThroughput":false,"isModelAuthor":false},{"provider":"together","modelStatus":"live","providerStatus":"live","providerId":"black-forest-labs/FLUX.1-schnell","task":"text-to-image","adapterWeightsPath":"ae.safetensors","isCheapestPricingOutput":false,"isFastestThroughput":false,"isModelAuthor":false},{"provider":"replicate","modelStatus":"live","providerStatus":"live","providerId":"black-forest-labs/flux-schnell","task":"text-to-image","adapterWeightsPath":"ae.safetensors","isCheapestPricingOutput":false,"isFastestThroughput":false,"isModelAuthor":false},{"provider":"nscale","modelStatus":"live","providerStatus":"live","providerId":"black-forest-labs/FLUX.1-schnell","task":"text-to-image","adapterWeightsPath":"ae.safetensors","isCheapestPricingOutput":false,"isFastestThroughput":false,"isModelAuthor":false},{"provider":"nebius","modelStatus":"error","providerStatus":"staging","providerId":"black-forest-labs/flux-schnell","task":"text-to-image","adapterWeightsPath":"ae.safetensors","isCheapestPricingOutput":false,"isFastestThroughput":false,"isModelAuthor":false},{"provider":"hf-inference","modelStatus":"live","providerStatus":"live","providerId":"black-forest-labs/FLUX.1-schnell","task":"text-to-image","adapterWeightsPath":"ae.safetensors","isCheapestPricingOutput":false,"isFastestThroughput":false,"isModelAuthor":false},{"provider":"fal-ai","modelStatus":"live","providerStatus":"live","providerId":"fal-ai/flux/schnell","task":"text-to-image","adapterWeightsPath":"ae.safetensors","isCheapestPricingOutput":false,"isFastestThroughput":false,"isModelAuthor":false}],"lastModified":"2024-08-16T14:37:56.000Z","likes":4623,"pipeline_tag":"text-to-image","private":false,"repoType":"model","isLikedByUser":false},{"_id":"670d0e551de84e5d88655548","position":3,"type":"model","author":"TencentARC","authorData":{"_id":"60e3f7f641ca131919975fe5","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1625552871844-60e272ca6c78a8c122b12127.png","fullname":"ARC Lab, Tencent PCG","name":"TencentARC","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":807,"isUserFollowing":false},"downloads":11129,"gated":false,"id":"TencentARC/PhotoMaker-V2","availableInferenceProviders":[],"lastModified":"2024-07-22T15:27:45.000Z","likes":154,"pipeline_tag":"text-to-image","private":false,"repoType":"model","isLikedByUser":false}],"position":3,"theme":"orange","private":false,"shareUrl":"https://hf.co/collections/argilla/open-image-generation-models","upvotes":2,"isUpvotedByUser":false},{"slug":"argilla/argilla-v20-compatible-datasets-66a8e670f351acac61a0421c","title":"Argilla v2.0 compatible datasets","description":"Ready for rg.Dataset.from_hub(). Each dataset contains a my_dataset_name/tree/main/creation_script.py to see the fullconfig and creation pipeline.","gating":false,"lastUpdated":"2024-12-11T11:28:50.939Z","owner":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"items":[{"_id":"66a9392267aac641a8b6bb9d","position":0,"type":"dataset","author":"argilla","downloads":16,"gated":false,"id":"argilla/multi-modal-vlm-visit-bench","lastModified":"2024-08-07T11:28:34.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":575,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":4,"isLikedByUser":false,"isBenchmark":false},{"_id":"66a8e670f351acac61a0421d","position":1,"type":"dataset","author":"argilla","downloads":94,"gated":false,"id":"argilla/llm-chat-preference","lastModified":"2024-07-30T15:21:54.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":7564,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["tabular","text"]},"private":false,"repoType":"dataset","likes":2,"isLikedByUser":false,"isBenchmark":false},{"_id":"66aa4a7d48b12aeadbc107fa","position":2,"type":"dataset","author":"argilla","downloads":15,"gated":false,"id":"argilla/rag-embeddings-relevance-similarity","lastModified":"2024-07-31T14:32:32.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":6250,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["tabular","text"]},"private":false,"repoType":"dataset","likes":1,"isLikedByUser":false,"isBenchmark":false},{"_id":"66a8ff4ef351acac61aa6f4b","position":3,"type":"dataset","author":"argilla","downloads":7,"gated":false,"id":"argilla/textcat-tokencat-pii-per-domain","lastModified":"2024-07-30T22:04:39.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":2096,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["tabular","text"]},"private":false,"repoType":"dataset","likes":0,"isLikedByUser":false,"isBenchmark":false}],"position":4,"theme":"orange","private":false,"shareUrl":"https://hf.co/collections/argilla/argilla-v20-compatible-datasets","upvotes":3,"isUpvotedByUser":false},{"slug":"argilla/notus-7b-v1-655529d7c73cb6c830e9555a","title":"Notus 7B v1","description":"Notus 7B v1 models (DPO fine-tune of Zephyr SFT) and datasets used. More information at https://github.com/argilla-io/notus","gating":false,"lastUpdated":"2024-12-11T11:28:50.989Z","owner":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"items":[{"_id":"655a892050b9a147991f71a1","position":1,"type":"model","note":{"html":"Full DPO fine-tuning of `HuggingFaceH4/zephyr-7b-sft-full` using `argilla/ultrafeedback-binarized-preferences`, running in a VM with 8 x A100 40GB","text":"Full DPO fine-tuning of `HuggingFaceH4/zephyr-7b-sft-full` using `argilla/ultrafeedback-binarized-preferences`, running in a VM with 8 x A100 40GB"},"author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"downloads":167,"gated":false,"id":"argilla/notus-7b-v1","availableInferenceProviders":[],"lastModified":"2023-12-05T07:49:46.000Z","likes":123,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":7241732096},{"_id":"6555fa701ebd86a276a1dda9","position":2,"type":"dataset","note":{"html":"Curated version of `openbmb/UltraFeedback` similarly to `HuggingFaceH4/UltraFeedback_binarized` to use the average score of the criterias instead of just taking the critique's score","text":"Curated version of `openbmb/UltraFeedback` similarly to `HuggingFaceH4/UltraFeedback_binarized` to use the average score of the criterias instead of just taking the critique's score"},"author":"argilla","downloads":267,"gated":false,"id":"argilla/ultrafeedback-binarized-preferences","lastModified":"2023-11-30T13:45:57.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":63619,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["tabular","text"]},"private":false,"repoType":"dataset","likes":81,"isLikedByUser":false,"isBenchmark":false},{"_id":"656dd2f7fa91c816098efef9","position":3,"type":"model","note":{"html":"GGUF-compatible quantized variants of `argilla/notus-7b-v1` generated by TheBloke (thanks &lt;3)","text":"GGUF-compatible quantized variants of `argilla/notus-7b-v1` generated by TheBloke (thanks <3)"},"author":"TheBloke","authorData":{"_id":"6426d3f3a7723d62b53c259b","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6426d3f3a7723d62b53c259b/tvPikpAzKTKGN5wrpadOJ.jpeg","fullname":"Tom Jobbins","name":"TheBloke","type":"user","isPro":true,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":26589,"isUserFollowing":false},"downloads":413,"gated":false,"id":"TheBloke/notus-7B-v1-GGUF","availableInferenceProviders":[],"lastModified":"2023-12-04T15:36:53.000Z","likes":23,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":7241732096},{"_id":"656dd30bfa91c816098f03b3","position":4,"type":"model","note":{"html":"AWQ-compatible quantized variants of `argilla/notus-7b-v1` generated by TheBloke (thanks &lt;3)","text":"AWQ-compatible quantized variants of `argilla/notus-7b-v1` generated by TheBloke (thanks <3)"},"author":"TheBloke","authorData":{"_id":"6426d3f3a7723d62b53c259b","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6426d3f3a7723d62b53c259b/tvPikpAzKTKGN5wrpadOJ.jpeg","fullname":"Tom Jobbins","name":"TheBloke","type":"user","isPro":true,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":26589,"isUserFollowing":false},"downloads":13,"gated":false,"id":"TheBloke/notus-7B-v1-AWQ","availableInferenceProviders":[],"lastModified":"2023-12-04T08:41:24.000Z","likes":3,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":7241732096}],"position":5,"theme":"blue","private":false,"shareUrl":"https://hf.co/collections/argilla/notus-7b-v1","upvotes":18,"isUpvotedByUser":false},{"slug":"argilla/notux-8x7b-v1-658d9eeabd3e9eaeb407958a","title":"Notux 8x7B v1","description":"Notux 8x7B v1 model (DPO fine-tune of Mixtral 8x7B Instruct v0.1) and datasets used. More information at https://github.com/argilla-io/notus","gating":false,"lastUpdated":"2024-12-11T11:28:50.937Z","owner":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"items":[{"_id":"658d9f0faf367763d3e94ee7","position":1,"type":"model","note":{"html":"Full DPO fine-tuning of `mistralai/Mixtral-8x7b-Instruct-v0.1` using `argilla/ultrafeedback-binarized-preferences-cleaned` running in a VM with 8 x H100 80GB","text":"Full DPO fine-tuning of `mistralai/Mixtral-8x7b-Instruct-v0.1` using `argilla/ultrafeedback-binarized-preferences-cleaned` running in a VM with 8 x H100 80GB"},"author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"downloads":15,"gated":false,"id":"argilla/notux-8x7b-v1","availableInferenceProviders":[],"lastModified":"2024-03-04T14:57:05.000Z","likes":164,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":46702792704},{"_id":"658d9f1a583d79e9b0bbfb6a","position":2,"type":"dataset","note":{"html":"Iteration on top of `argilla/ultrafeedback-binarized-preferences` but removing the TruthfulQA prompts that were introducing some data contamination as spotted by AllenAI, but keeping Argilla's approach on the data binarization\n\nFormatting: the dataset follows the same formatting as the one defined within the Alignment Handbook from HuggingFace H4","text":"Iteration on top of `argilla/ultrafeedback-binarized-preferences` but removing the TruthfulQA prompts that were introducing some data contamination as spotted by AllenAI, but keeping Argilla's approach on the data binarization\n\nFormatting: the dataset follows the same formatting as the one defined within the Alignment Handbook from HuggingFace H4"},"author":"argilla","downloads":2515,"gated":false,"id":"argilla/ultrafeedback-binarized-preferences-cleaned","lastModified":"2023-12-11T14:22:19.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":60917,"libraries":["datasets","pandas","polars","mlcroissant"],"formats":["parquet"],"modalities":["tabular","text"]},"private":false,"repoType":"dataset","likes":160,"isLikedByUser":false,"isBenchmark":false},{"_id":"658ee5483533188375fe29f9","position":3,"type":"model","note":{"html":"GGUF-compatible quantized variants of `argilla/notux-8x7b-v1` generated by TheBloke (thanks &lt;3)","text":"GGUF-compatible quantized variants of `argilla/notux-8x7b-v1` generated by TheBloke (thanks <3)"},"author":"TheBloke","authorData":{"_id":"6426d3f3a7723d62b53c259b","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6426d3f3a7723d62b53c259b/tvPikpAzKTKGN5wrpadOJ.jpeg","fullname":"Tom Jobbins","name":"TheBloke","type":"user","isPro":true,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":26589,"isUserFollowing":false},"downloads":1492,"gated":false,"id":"TheBloke/notux-8x7b-v1-GGUF","availableInferenceProviders":[],"lastModified":"2023-12-29T15:37:20.000Z","likes":5,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":46702792704},{"_id":"658ee556c0a2664426b1e019","position":4,"type":"model","note":{"html":"AWQ-compatible quantized variants of `argilla/notux-8x7b-v1` generated by TheBloke (thanks &lt;3)","text":"AWQ-compatible quantized variants of `argilla/notux-8x7b-v1` generated by TheBloke (thanks <3)"},"author":"TheBloke","authorData":{"_id":"6426d3f3a7723d62b53c259b","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6426d3f3a7723d62b53c259b/tvPikpAzKTKGN5wrpadOJ.jpeg","fullname":"Tom Jobbins","name":"TheBloke","type":"user","isPro":true,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":26589,"isUserFollowing":false},"downloads":5,"gated":false,"id":"TheBloke/notux-8x7b-v1-AWQ","availableInferenceProviders":[],"lastModified":"2023-12-29T15:58:32.000Z","likes":3,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[],"numParameters":46702792704}],"position":6,"theme":"green","private":false,"shareUrl":"https://hf.co/collections/argilla/notux-8x7b-v1","upvotes":7,"isUpvotedByUser":false},{"slug":"argilla/dibt-prompt-collective-spin-65ef59062518776024395fc3","title":"DIBT Prompt collective SPIN","description":"This collection contains resources related to the replication of SPIN with the dibt prompt collective dataset","gating":false,"lastUpdated":"2024-12-11T11:28:50.946Z","owner":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"items":[{"_id":"65ef597b0a63bbcd1cd3473a","position":0,"type":"model","author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"downloads":6,"gated":false,"id":"argilla/zephyr-7b-spin-iter0-v0","availableInferenceProviders":[],"lastModified":"2024-03-13T14:15:02.000Z","likes":1,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[]},{"_id":"65ef598a0b0c165200b265da","position":1,"type":"model","author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"downloads":5,"gated":false,"id":"argilla/zephyr-7b-spin-iter1-v0","availableInferenceProviders":[],"lastModified":"2024-03-13T14:15:21.000Z","likes":1,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[]},{"_id":"65ef59969b35ee894071ffe5","position":2,"type":"model","author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"downloads":7,"gated":false,"id":"argilla/zephyr-7b-spin-iter2-v0","availableInferenceProviders":[],"lastModified":"2024-03-13T14:15:36.000Z","likes":1,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[]},{"_id":"65f05d22a2008a3572744373","position":3,"type":"model","author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"downloads":3,"gated":false,"id":"argilla/zephyr-7b-spin-iter3-v0","availableInferenceProviders":[],"lastModified":"2024-03-13T14:15:52.000Z","likes":8,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[]}],"position":7,"theme":"indigo","private":false,"shareUrl":"https://hf.co/collections/argilla/dibt-prompt-collective-spin","upvotes":7,"isUpvotedByUser":false},{"slug":"argilla/preference-datasets-for-dpo-656f0ce6a00ad2dc33069478","title":"Preference Datasets for DPO","description":"This collection contains a list of curated preference datasets for DPO fine-tuning for intent alignment of LLMs","gating":false,"lastUpdated":"2024-12-11T11:28:50.939Z","owner":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"items":[{"_id":"656f0d19c542f736d8428466","position":0,"type":"dataset","note":{"html":"Binarized version of `OpenBMB/UltraFeedback` using the average of the preference ratings of the attributes: helpfulness, honesty, truthfulness, and instruction following","text":"Binarized version of `OpenBMB/UltraFeedback` using the average of the preference ratings of the attributes: helpfulness, honesty, truthfulness, and instruction following"},"author":"argilla","downloads":267,"gated":false,"id":"argilla/ultrafeedback-binarized-preferences","lastModified":"2023-11-30T13:45:57.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":63619,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["tabular","text"]},"private":false,"repoType":"dataset","likes":81,"isLikedByUser":false,"isBenchmark":false},{"_id":"656f0d2dc205a2ae7394f7df","position":1,"type":"dataset","note":{"html":"Iteration on top of `argilla/ultrafeedback-binarized-preferences` to remove the prompts contaminated from TruthfulQA within the original `OpenBMB/UltraFeedback` dataset","text":"Iteration on top of `argilla/ultrafeedback-binarized-preferences` to remove the prompts contaminated from TruthfulQA within the original `OpenBMB/UltraFeedback` dataset"},"author":"argilla","downloads":2515,"gated":false,"id":"argilla/ultrafeedback-binarized-preferences-cleaned","lastModified":"2023-12-11T14:22:19.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":60917,"libraries":["datasets","pandas","polars","mlcroissant"],"formats":["parquet"],"modalities":["tabular","text"]},"private":false,"repoType":"dataset","likes":160,"isLikedByUser":false,"isBenchmark":false},{"_id":"65771b41ab20a4deeaeceb3d","position":2,"type":"dataset","note":{"html":"Iteration on top of `argilla/ultrafeedback-binarized-preferences-cleaned` to keep every rejected response per each one chosen, instead of picking a random one, leading to an augmented dataset to be used for DPO fine-tuning experiments.","text":"Iteration on top of `argilla/ultrafeedback-binarized-preferences-cleaned` to keep every rejected response per each one chosen, instead of picking a random one, leading to an augmented dataset to be used for DPO fine-tuning experiments."},"author":"argilla","downloads":49,"gated":false,"id":"argilla/ultrafeedback-multi-binarized-preferences-cleaned","lastModified":"2023-12-11T14:21:14.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":157675,"libraries":["datasets","dask","mlcroissant","polars"],"formats":["parquet"],"modalities":["tabular","text"]},"private":false,"repoType":"dataset","likes":7,"isLikedByUser":false,"isBenchmark":false},{"_id":"6577284fca95cd024bac6e5b","position":3,"type":"dataset","author":"argilla","downloads":23,"gated":false,"id":"argilla/ultrafeedback-multi-binarized-quality-preferences-cleaned","lastModified":"2023-12-11T15:13:55.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":154663,"libraries":["datasets","dask","mlcroissant","polars"],"formats":["parquet"],"modalities":["tabular","text"]},"private":false,"repoType":"dataset","likes":5,"isLikedByUser":false,"isBenchmark":false}],"position":8,"theme":"orange","private":false,"shareUrl":"https://hf.co/collections/argilla/preference-datasets-for-dpo","upvotes":46,"isUpvotedByUser":false},{"slug":"argilla/preference-datasets-for-kto-65f98314d7c1b04ab54d41a7","title":"Preference Datasets for KTO","description":"This collection contains a list of curated preference datasets for KTO fine-tuning for intent alignment of LLMs through signals.\n\n\n","gating":false,"lastUpdated":"2024-12-11T11:28:50.936Z","owner":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"items":[{"_id":"65f98314d7c1b04ab54d41a8","position":0,"type":"dataset","note":{"html":"KTO transformed version of \"argilla/ultrafeedback-binarized-preferences-cleaned\".","text":"KTO transformed version of \"argilla/ultrafeedback-binarized-preferences-cleaned\"."},"author":"argilla","downloads":1742,"gated":false,"id":"argilla/ultrafeedback-binarized-preferences-cleaned-kto","lastModified":"2024-03-19T12:17:36.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":230720,"libraries":["datasets","dask","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":9,"isLikedByUser":false,"isBenchmark":false},{"_id":"65f9832319efe1381b936f88","position":1,"type":"dataset","note":{"html":"KTO transformed version of \"argilla/distilabel-intel-orca-dpo-pairs\"","text":"KTO transformed version of \"argilla/distilabel-intel-orca-dpo-pairs\""},"author":"argilla","downloads":32,"gated":false,"id":"argilla/distilabel-intel-orca-kto","lastModified":"2024-03-19T12:16:06.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":23147,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":9,"isLikedByUser":false,"isBenchmark":false},{"_id":"65f9832df4ce1b8cd595ffb2","position":2,"type":"dataset","note":{"html":"KTO transformed version of \"argilla/distilabel-capybara-dpo-7k-binarized\".","text":"KTO transformed version of \"argilla/distilabel-capybara-dpo-7k-binarized\"."},"author":"argilla","downloads":18,"gated":false,"id":"argilla/distilabel-capybara-kto-15k-binarized","lastModified":"2024-03-19T12:19:25.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":15126,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":5,"isLikedByUser":false,"isBenchmark":false},{"_id":"65f9833dc4132edf1d1f1bf2","position":3,"type":"dataset","note":{"html":"KTO transformed version of \"argilla/dpo-mix-7k\".","text":"KTO transformed version of \"argilla/dpo-mix-7k\"."},"author":"argilla","downloads":35,"gated":false,"id":"argilla/kto-mix-15k","lastModified":"2024-04-19T03:23:35.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":15299,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":14,"isLikedByUser":false,"isBenchmark":false}],"position":9,"theme":"pink","private":false,"shareUrl":"https://hf.co/collections/argilla/preference-datasets-for-kto","upvotes":15,"isUpvotedByUser":false},{"slug":"argilla/domain-specific-data-661960b46e681d5e88e1107f","title":"Domain Specific Data","description":"This is a collection of tools for building domain specific datasets using human domain expertise and synthetic data generation. ","gating":false,"lastUpdated":"2024-12-11T11:28:50.937Z","owner":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"items":[{"_id":"661961443557013b632118bf","position":0,"type":"dataset","author":"argilla","downloads":114,"gated":false,"id":"argilla/farming","lastModified":"2024-04-25T17:47:49.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":1695,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":8,"isLikedByUser":false,"isBenchmark":false}],"position":11,"theme":"green","private":false,"shareUrl":"https://hf.co/collections/argilla/domain-specific-data","upvotes":4,"isUpvotedByUser":false}],"datasets":[{"author":"argilla","downloads":2368,"gated":false,"id":"argilla/distilabel-intel-orca-dpo-pairs","lastModified":"2025-08-07T08:10:47.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":12859,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":181,"isLikedByUser":false,"isBenchmark":false},{"author":"argilla","downloads":22,"gated":false,"id":"argilla/synthetic-concise-reasoning-sft-filtered","lastModified":"2025-01-03T11:21:56.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":4133,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":5,"isLikedByUser":false,"isBenchmark":false},{"author":"argilla","downloads":4,"gated":false,"id":"argilla/synthetic-concise-reasoning-sft","lastModified":"2024-12-31T12:26:50.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":5000,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":2,"isLikedByUser":false,"isBenchmark":false},{"author":"argilla","downloads":9,"gated":false,"id":"argilla/synthetic-concise-reasoning","lastModified":"2024-12-30T21:34:23.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":10,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":3,"isLikedByUser":false,"isBenchmark":false},{"author":"argilla","downloads":56,"gated":false,"id":"argilla/synthetic-domain-text-classification","lastModified":"2024-12-30T08:18:35.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":1000,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":5,"isLikedByUser":false,"isBenchmark":false},{"author":"argilla","downloads":71,"gated":false,"id":"argilla/synthetic-text-classification-news","lastModified":"2024-12-11T18:27:43.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":100,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":8,"isLikedByUser":false,"isBenchmark":false},{"author":"argilla","downloads":11,"gated":false,"id":"argilla/synthetic-sft-customer-support-multi-turn","lastModified":"2024-12-11T17:14:13.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":100,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":3,"isLikedByUser":false,"isBenchmark":false},{"author":"argilla","downloads":16,"gated":false,"id":"argilla/synthetic-sft-customer-support-single-turn","lastModified":"2024-12-11T16:42:58.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":100,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":7,"isLikedByUser":false,"isBenchmark":false},{"author":"argilla","downloads":65,"gated":false,"id":"argilla/synthetic-text-classification-news-multi-label","lastModified":"2024-12-11T14:03:05.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":100,"libraries":["datasets","pandas","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":4,"isLikedByUser":false,"isBenchmark":false},{"author":"argilla","downloads":9073,"gated":false,"id":"argilla/FinePersonas-v0.1","lastModified":"2024-12-11T12:25:52.000Z","datasetsServerInfo":{"viewer":"viewer","numRows":42142456,"libraries":["datasets","dask","mlcroissant","polars"],"formats":["parquet"],"modalities":["text"]},"private":false,"repoType":"dataset","likes":408,"isLikedByUser":false,"isBenchmark":false}],"models":[{"author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"downloads":582,"gated":false,"id":"argilla/ModernBERT-domain-classifier","availableInferenceProviders":[],"lastModified":"2025-01-07T06:25:42.000Z","likes":9,"pipeline_tag":"text-classification","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[]},{"author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"downloads":5,"gated":false,"id":"argilla/SmolLM2-360M-synthetic-concise-reasoning","availableInferenceProviders":[],"lastModified":"2025-01-03T15:23:23.000Z","likes":1,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[]},{"author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"downloads":0,"gated":false,"id":"argilla/synthetic-text-classification-news-autotrain-model","availableInferenceProviders":[],"lastModified":"2024-12-11T18:41:21.000Z","likes":0,"pipeline_tag":"text-classification","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[]},{"author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"downloads":1,"gated":false,"id":"argilla/pc_components_classifier","availableInferenceProviders":[],"lastModified":"2024-10-17T10:40:34.000Z","likes":1,"pipeline_tag":"text-classification","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[]},{"author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"downloads":57,"gated":false,"id":"argilla/Llama-3.2-1B-Instruct-APIGen-FC-v0.1","availableInferenceProviders":[{"provider":"featherless-ai","modelStatus":"live","providerStatus":"live","providerId":"argilla/Llama-3.2-1B-Instruct-APIGen-FC-v0.1","task":"conversational","isCheapestPricingOutput":false,"isFastestThroughput":false,"isModelAuthor":false}],"lastModified":"2024-10-10T13:10:56.000Z","likes":1,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[]},{"author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"downloads":3,"gated":false,"id":"argilla/zephyr-7b-spin-iter3-v0","availableInferenceProviders":[],"lastModified":"2024-03-13T14:15:52.000Z","likes":8,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[]},{"author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"downloads":7,"gated":false,"id":"argilla/zephyr-7b-spin-iter2-v0","availableInferenceProviders":[],"lastModified":"2024-03-13T14:15:36.000Z","likes":1,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[]},{"author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"downloads":5,"gated":false,"id":"argilla/zephyr-7b-spin-iter1-v0","availableInferenceProviders":[],"lastModified":"2024-03-13T14:15:21.000Z","likes":1,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[]},{"author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"downloads":6,"gated":false,"id":"argilla/zephyr-7b-spin-iter0-v0","availableInferenceProviders":[],"lastModified":"2024-03-13T14:15:02.000Z","likes":1,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[]},{"author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"downloads":11,"gated":false,"id":"argilla/distilabeled-Marcoro14-7B-slerp","availableInferenceProviders":[],"lastModified":"2024-03-04T14:57:35.000Z","likes":10,"pipeline_tag":"text-generation","private":false,"repoType":"model","isLikedByUser":false,"widgetOutputUrls":[]}],"paperPreviews":[],"spaces":[{"author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"colorFrom":"pink","colorTo":"pink","createdAt":"2022-12-28T22:19:09.000Z","emoji":"✍","id":"argilla/argilla-template-space","lastModified":"2025-03-11T08:58:30.000Z","likes":44,"pinned":true,"private":false,"sdk":"docker","repoType":"space","runtime":{"stage":"RUNNING","hardware":{"current":"cpu-upgrade","requested":"cpu-upgrade"},"storage":"small","gcTimeout":null,"replicas":{"current":1,"requested":1},"devMode":false,"domains":[{"domain":"argilla-argilla-template-space.hf.space","stage":"READY"}],"sha":"f0bce821ff4a1af61e8e91181632d85d6a5b9843"},"title":"Argilla Space","isLikedByUser":false,"trendingScore":0,"tags":["docker","argilla","region:us"],"featured":false},{"author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"colorFrom":"pink","colorTo":"yellow","createdAt":"2024-10-14T12:59:07.000Z","emoji":"🧬✍","id":"argilla/synthetic-data-generator-argilla-reviewer","lastModified":"2025-02-06T15:15:19.000Z","likes":7,"pinned":true,"private":false,"sdk":"docker","repoType":"space","runtime":{"stage":"RUNNING","hardware":{"current":"cpu-xl","requested":"cpu-xl"},"storage":"small","gcTimeout":172800,"errorMessage":null,"replicas":{"current":1,"requested":1},"devMode":false,"domains":[{"domain":"argilla-synthetic-data-generator-argilla-reviewer.hf.space","stage":"READY"}],"sha":"a22b7857eb8c24c1474de646d6901602b54da1c1"},"shortDescription":"Review datasets created with the Synthetic Data Generator","title":"Synthetic Data Generator Argilla Reviewer","isLikedByUser":false,"trendingScore":0,"tags":["docker","argilla","region:us"],"featured":false},{"author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"colorFrom":"pink","colorTo":"pink","createdAt":"2025-01-16T15:05:14.000Z","emoji":"✍","id":"argilla/testing-demo","lastModified":"2025-01-16T15:05:15.000Z","likes":0,"pinned":true,"private":false,"sdk":"docker","repoType":"space","runtime":{"stage":"RUNNING","hardware":{"current":"cpu-basic","requested":"cpu-basic"},"storage":null,"gcTimeout":172800,"errorMessage":null,"replicas":{"current":1,"requested":1},"devMode":false,"domains":[{"domain":"argilla-testing-demo.hf.space","stage":"READY"}],"sha":"3ebbed3888ad49d916ec3463393f52eb91c78ecc"},"title":"Testing Demo","isLikedByUser":false,"ai_short_description":"Manage and analyze text data for machine learning","ai_category":"Text Analysis","trendingScore":0,"tags":["docker","argilla","region:us"],"featured":false},{"author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"colorFrom":"pink","colorTo":"pink","createdAt":"2024-11-22T08:18:42.000Z","emoji":"🐪","id":"argilla/tulu3-awesome-datasets","lastModified":"2024-11-22T08:21:10.000Z","likes":8,"pinned":true,"private":false,"sdk":"docker","repoType":"space","runtime":{"stage":"RUNTIME_ERROR","hardware":{"current":null,"requested":"cpu-upgrade"},"storage":"small","gcTimeout":null,"errorMessage":"Exit code: 128. Reason: failed to create containerd task: failed to create shim task: OCI runtime create failed: runc create failed: unable to create new parent process: namespace path: lstat /proc/0/ns/ipc: no such file or directory: unknown","replicas":{"requested":1},"devMode":false,"domains":[{"domain":"argilla-tulu3-awesome-datasets.hf.space","stage":"READY"}]},"title":"Tulu3 Awesome Datasets","isLikedByUser":false,"trendingScore":0,"tags":["docker","argilla","region:us"],"featured":false},{"author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"colorFrom":"green","colorTo":"purple","createdAt":"2024-09-19T11:23:58.000Z","emoji":"🏷️⚗️","id":"argilla/distilabel-argilla-labeller","lastModified":"2024-09-25T04:02:32.000Z","likes":4,"pinned":true,"private":false,"sdk":"gradio","repoType":"space","runtime":{"stage":"BUILD_ERROR","hardware":{"current":null,"requested":"cpu-basic"},"storage":null,"gcTimeout":172800,"errorMessage":"Job failed with exit code: 1","replicas":{"requested":1},"devMode":false,"domains":[{"domain":"argilla-distilabel-argilla-labeller.hf.space","stage":"READY"}]},"title":"distilabel - ArgillaLabeller","isLikedByUser":false,"trendingScore":0,"tags":["gradio","region:us"],"featured":false},{"author":"argilla","authorData":{"_id":"6322e6000baf1200af5e267f","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1664307416166-60420dccc15e823a685f2b03.png","fullname":"Argilla","name":"argilla","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":433,"isUserFollowing":false},"colorFrom":"yellow","colorTo":"green","createdAt":"2025-01-06T16:38:36.000Z","emoji":"🔥","id":"argilla/frugal-submission-template","lastModified":"2025-01-08T14:59:29.000Z","likes":0,"pinned":false,"private":false,"sdk":"docker","repoType":"space","runtime":{"stage":"RUNTIME_ERROR","hardware":{"current":null,"requested":"t4-small"},"storage":null,"gcTimeout":3600,"errorMessage":"Scheduling failure: unable to schedule","replicas":{"requested":1},"devMode":false,"domains":[{"domain":"argilla-frugal-submission-template.hf.space","stage":"READY"}]},"title":"Submission Template","isLikedByUser":false,"originRepo":{"name":"frugal-ai-challenge/submission-template","author":{"_id":"673dd588c994abea98c4beda","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6292c566dd9a91f7f6301921/QssnrQtXoxYknsoD2DZcu.png","fullname":"Frugal AI Challenge","name":"frugal-ai-challenge","type":"org","isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":71,"isUserFollowing":false}},"trendingScore":0,"tags":["docker","region:us"],"featured":false}],"buckets":[],"numBuckets":0,"numDatasets":150,"numModels":27,"numSpaces":21,"lastOrgActivities":[],"acceptLanguages":["*"],"canReadRepos":false,"canReadSpaces":false,"blogPosts":[],"currentRepoPage":0,"filters":{},"paperView":false}">