HF Model & Benchmark Matrix

24,078 variants · 14,984 scores · 120 benchmarks

Nous-Hermes-Llama2-70B-GGUF

TheBloke/Nous-Hermes-Llama2-70B-GGUF

kind
gguf
quant
gguf (2-bit)
family
llama
modality
—
root model
NousResearch/Nous-Hermes-Llama2-70b
provider
TheBloke
license
- mit
language
en
context
—
library
—
vRAM (GB)
—
size on disk
—
downloads
795
likes
27
created
—
last modified
2023-09-27T12:45:59+00:00 (2023)
huggingface
https://huggingface.co/TheBloke/Nous-Hermes-Llama2-70B-GGUF
tags
transformersggufllamallama-2self-instructdistillationsynthetic instructionenbase_model:NousResearch/Nous-Hermes-Llama2-70bbase_model:quantized:NousResearch/Nous-Hermes-Llama2-70blicense:mitregion:us

Benchmark scores (32)

benchmarkcategoryscorecontextconfevidence
AGIEvalreasoning86.41_sat_enmedium| agieval_sat_en | 0 | acc | 0.8641 | ± | 0.0239 |
BoolQknowledge84.22medium| boolq | 1 | acc | 0.8422 | ± | 0.0064 |
PIQAknowledge83.13medium| piqa | 0 | acc | 0.8313 | ± | 0.0087 |
WinoGrandeknowledge77.51medium| winogrande | 0 | acc | 0.7751 | ± | 0.0117 |
BigBenchreasoning73.94_sports_understandingmedium| bigbench_sports_understanding | 0 | multiple_choice_grade | 0.7394 | ± | 0.0140 |
BigBenchreasoning73.44_date_understandingmedium| bigbench_date_understanding | 0 | multiple_choice_grade | 0.7344 | ± | 0.0230 |
AGIEvalreasoning69.14_lsat_rcmedium| agieval_lsat_rc | 0 | acc | 0.6914 | ± | 0.0282 |
BigBenchreasoning66.3_snarksmedium| bigbench_snarks | 0 | multiple_choice_grade | 0.6630 | ± | 0.0352 |
BigBenchreasoning66.05_reasoning_about_colored_objectsmedium| bigbench_reasoning_about_colored_objects | 0 | multiple_choice_grade | 0.6605 | ± | 0.0106 |
BigBenchreasoning65.79_causal_judgementmedium| bigbench_causal_judgement | 0 | multiple_choice_grade | 0.6579 | ± | 0.0345 |
HellaSwagknowledge65.19medium| hellaswag | 0 | acc | 0.6519 | ± | 0.0048 |
AGIEvalreasoning57.65_lsat_lrmedium| agieval_lsat_lr | 0 | acc | 0.5765 | ± | 0.0219 |
ARC-Challengeknowledge57.34_challengemedium| arc_challenge | 0 | acc | 0.5734 | ± | 0.0145 |
AGIEvalreasoning52.91_sat_en_without_passagemedium| agieval_sat_en_without_passage | 0 | acc | 0.5291 | ± | 0.0349 |
BigBenchreasoning50.0_navigatemedium| bigbench_navigate | 0 | multiple_choice_grade | 0.5000 | ± | 0.0158 |
BigBenchreasoning45.98_ruin_namesmedium| bigbench_ruin_names | 0 | multiple_choice_grade | 0.4598 | ± | 0.0236 |
BigBenchreasoning44.67_logical_deduction_three_objectsmedium| bigbench_logical_deduction_three_objects | 0 | multiple_choice_grade | 0.4467 | ± | 0.0288 |
BigBenchreasoning44.67_tracking_shuffled_objects_three_objectsmedium| bigbench_tracking_shuffled_objects_three_objects | 0 | multiple_choice_grade | 0.4467 | ± | 0.0288 |
BigBenchreasoning44.4_temporal_sequencesmedium| bigbench_temporal_sequences | 0 | multiple_choice_grade | 0.4440 | ± | 0.0157 |
AGIEvalreasoning41.36_sat_mathmedium| agieval_sat_math | 0 | acc | 0.4136 | ± | 0.0333 |
AGIEvalreasoning39.17_logiqa_enmedium| agieval_logiqa_en | 0 | acc | 0.3917 | ± | 0.0191 |
OpenBookQAknowledge38.8medium| openbookqa | 0 | acc | 0.3880 | ± | 0.0218 |
BigBenchreasoning32.4_movie_recommendationmedium| bigbench_movie_recommendation | 0 | multiple_choice_grade | 0.3240 | ± | 0.0210 |
BigBenchreasoning30.23_disambiguation_qamedium| bigbench_disambiguation_qa | 0 | multiple_choice_grade | 0.3023 | ± | 0.0286 |
BigBenchreasoning27.6_logical_deduction_five_objectsmedium| bigbench_logical_deduction_five_objects | 0 | multiple_choice_grade | 0.2760 | ± | 0.0200 |
BigBenchreasoning25.85_salient_translation_error_detectionmedium| bigbench_salient_translation_error_detection | 0 | multiple_choice_grade | 0.2585 | ± | 0.0139 |
AGIEvalreasoning24.8_aqua_ratmedium| agieval_aqua_rat | 0 | acc | 0.2480 | ± | 0.0272 |
BigBenchreasoning23.4_geometric_shapesmedium| bigbench_geometric_shapes | 0 | multiple_choice_grade | 0.2340 | ± | 0.0224 |
AGIEvalreasoning22.17_lsat_armedium| agieval_lsat_ar | 0 | acc | 0.2217 | ± | 0.0275 |
BigBenchreasoning21.68_tracking_shuffled_objects_five_objectsmedium| bigbench_tracking_shuffled_objects_five_objects | 0 | multiple_choice_grade | 0.2168 | ± | 0.0117 |
BigBenchreasoning18.71_logical_deduction_seven_objectsmedium| bigbench_logical_deduction_seven_objects | 0 | multiple_choice_grade | 0.1871 | ± | 0.0148 |
BigBenchreasoning15.31_tracking_shuffled_objects_seven_objectsmedium| bigbench_tracking_shuffled_objects_seven_objects | 0 | multiple_choice_grade | 0.1531 | ± | 0.0086 |

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Hugging Face model & benchmark data scraped & matrix-ified. 24,078 variants · 14,984 scores · 120 benchmarks.