Datasets:
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HuggingBench-Classification

Dataset card Data Studio Files
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model:BattlescarZa/medibuddy-llm-9B [33]
model:stephansf/hill_08_ago_4_bit [33]
model:ljvmiranda921/tl_gliner_small [42]
model:ljvmiranda921/tl_gliner_medium [42]
model:mjm4dl/ADR_v1_llama3_mbh_new_data_r16_e3_cosine_sched [33]
model:TheWonderfulTartiflette/Meta-Llama-3.1-8B-Q6_K-GGUF [33]
model:triplewhale/gemma-2-2b-it-txt2sql-0808-bnb-16bit [33]
model:ljvmiranda921/tl_gliner_large [42]
model:scotteinsidler/my_awesome_wiki_clm-model [33]
model:Casual-Autopsy/L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc [33]
model:riacheruvu/Qwen2-7B-Instruct-openvino-8bit [33]
model:BattlescarZa/medibuddy-llm-34B [33]
model:NikolayKozloff/Meltemi-7B-v1.5-Q8_0-GGUF [33]
model:NikolayKozloff/Meltemi-7B-Instruct-v1.5-Q8_0-GGUF [33]
model:KoichiYasuoka/roberta-small-belarusian-ud-goeswith [42]
model:bhanu4110/mhc_Llama-3.1-8B [33]
model:onnx-community/timesformer-base-finetuned-k400 [45]
model:onnx-community/timesformer-base-finetuned-k600 [45]
model:onnx-community/timesformer-base-finetuned-ssv2 [45]
model:onnx-community/timesformer-hr-finetuned-k400 [45]
model:onnx-community/timesformer-hr-finetuned-ssv2 [45]
model:onnx-community/timesformer-hr-finetuned-k600 [45]
model:kwejej019/Guilty_Gear [36]
model:agier9/gte-Qwen2-1.5B-instruct-Q4_K_M-GGUF [25]
model:AdamLucek/Phi-3-mini-EmoMarketing-DELLA [33]
model:pengBison/segformer-b0-finetuned-segments-sidewalk-oct-22 [12]
model:rohan871/tarot-lora [37]
model:ManuD/llama3_1_8B_100_epochs_linear [33]
model:riken01/trustpilot-roberta-gender [32]
model:lmstudio-community/Qwen2-Math-72B-Instruct-GGUF [33]
model:trasul/mpnet-base-all-nli-triplet [25, 7]
model:trasul/bge-base-all-nli-triplet [25, 7]
model:LatinAI/speech-accent-pt-br-classifier [1]
model:ehdgh925/trained-sd3 [37]
model:Thanyatad/Meta-Llama-3.1-8B-Q4_K_M-GGUF [33]
model:LatinAI/speech-accent-es-classifier [1]
model:riken01/trustpilot-roberta-location [32]
model:helloollel/Llama-3.1-8B-instruct-bilibili [33]
model:platzi/platzi-vit-model-alex-oropeza [10]
model:Wawaworker/hvvshimFluxV1 [37]
model:SandLogicTechnologies/Nxcode-CQ-7B-orpo-GGUF [33]
model:Shams2611/testv4 [33]
model:smblscr47/HAE-Test_1-merged_16bit [33]
model:Shams2611/testv5 [33]
model:RAJKOT/1097145198 [37]
model:gsnans/sms-spam-optimized [32]
model:iguiller/waldo_synth [37]
model:simran14/small_8_a [4]
model:upskyy/e5-base-korean [25, 7]
model:Jenous/vit-base-beans-demo-v5 [10]
model:path97/vit-base-beans-demo-v5 [10]
model:LeeJaeKwan/vit-base-beans-demo-v5 [10]
model:ddydyyy/vit-base-beans-demo-v5 [10]
model:upskyy/e5-small-korean [25, 7]
model:MeikoWu/Meta-Llama-3.1-8B-Q4_K_M-GGUF [33]
model:upskyy/e5-large-korean [25, 7]
model:MeikoWu/Meta-Llama-3-8B-Q4_K_M-GGUF [33]
model:Ian332/Helper_Bob [32, 33]
model:joongi007/llama-3-Korean-Bllossom-8B-20240809-GGUF [33]
model:Saxo/Linkbricks-Horizon-AI-Korean-llama3.1-sft-rlhf-dpo-8B [33]
model:GuntramG/autotrain-uypr6-jedzx [10]
model:SandLogicTechnologies/Llama3-Med42-8B-GGUF [33]
model:Saxo/Linkbricks-Horizon-AI-Korean-llama3.1-sft-dpo-70B [33]
model:Ro-xe/FMixAI_7B [33]
model:5CD-AI/Vintern-1B-v2 [47, 7]
model:knowledgator/Sheared-LLaMA-encoder-1.3B [22]
model:GuntramG/autotrain-rtvyh-y5ben [10]
model:Leotrim/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan [1]
model:fadodr/finetuned_mental_health_therapy_original [33]
model:simran14/small_8_b [4]
model:akmalfairuz/llama3.1-indoprog [33]
model:adriansanz/SITGES-aina4_v2 [25, 7]
model:adriansanz/SITGES-aina4-FT1 [25, 7]
model:burtenshaw/gemma-help-tiny-sft [33]
model:gogED/Meta-Llama-3-8B-Instruct-Q4_K_M-GGUF [33]
model:mjm4dl/ADR_v1_llama3_mbh_new_data_r16_e5_cosine_sched [33]
model:ivanterzic/d-roberta-exai-01 [32]
model:Zoahmed1/lora_illustrations_lora_output [37]
model:Gydoo/insane-llama3.1-70b-merged4bit [33]
model:sshk/segformer-b3-fashion-finetuned-polo-segments-v1.4 [12]
model:mjm4dl/ADR_v1_llama3_mbh_new_data_r16_e5_linear_sched [33]
model:Arnav1619/3d-icon-sdxl-lora [37]
model:mjm4dl/ADR_v1_llama3_mbh_new_data_r32_e5_linear_sched [33]
model:Toshifumi/Gemma2-2B-Toshi-claim-classifier_20240809 [33]
model:mjm4dl/ADR_v1_mistral_mbh_new_data_r16_e3_cosine_sched [33]
model:mjm4dl/ADR_v1_llama3_mbh_new_data_r32_e5_cosine_sched [33]
model:Catchy1282/SVC_model_60_samples_per_label [32]
model:mjm4dl/ADR_v1_mistral_mbh_new_data_r16_e5_cosine_sched [33]
model:mjm4dl/ADR_v1_llama3_mbh_new_data_r32_e3_cosine_sched [33]
model:mjm4dl/ADR_v1_gemma2b_mbh_new_data_r16_e3_cosine_sched [33]
model:mjm4dl/ADR_v1_mistral_mbh_new_data_r32_e5_cosine_sched [33]
model:mjm4dl/ADR_v1_llama3_mbh_new_data_r32_e3_linear_sched [33]
model:Catchy1282/GradientBoosting_model_1_samples_per_label [32]
model:Catchy1282/GradientBoosting_model_3_samples_per_label [32]
model:Catchy1282/GradientBoosting_model_5_samples_per_label [32]
model:Catchy1282/GradientBoosting_model_10_samples_per_label [32]
model:Catchy1282/GradientBoosting_model_20_samples_per_label [32]
model:Catchy1282/GradientBoosting_model_30_samples_per_label [32]
model:Catchy1282/GradientBoosting_model_40_samples_per_label [32]
model:Catchy1282/GradientBoosting_model_50_samples_per_label [32]