HF Model & Benchmark Matrix

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

Tulpar-7B-v0-GGUF

TheBloke/Tulpar-7B-v0-GGUF

kind
gguf
quant
gguf (2-bit)
family
misc
modality
—
root model
HyperbeeAI/Tulpar-7b-v0
provider
TheBloke
license
llama2
language
en
context
—
library
transformers
vRAM (GB)
—
size on disk
—
downloads
516
likes
3
created
—
last modified
2023-09-27T12:48:39+00:00 (2023)
huggingface
https://huggingface.co/TheBloke/Tulpar-7B-v0-GGUF
tags
transformersggufllamaenbase_model:HyperbeeAI/Tulpar-7b-v0base_model:quantized:HyperbeeAI/Tulpar-7b-v0license:llama2region:us

Benchmark scores (28)

benchmarkcategoryscorecontextconfevidence
BoolQknowledge83.06medium| boolq | acc | 0.8306 |
PIQAknowledge79.05medium| piqa | acc | 0.7905 |
HellaSwagknowledge79.01**medium| *hellaswag* | acc_norm | 0.7901 |
WinoGrandeknowledge71.59medium| winogrande | acc | 0.7159 |
BigBenchreasoning67.54_hyperbatonmedium| bigbench_hyperbaton | multiple_choice_grade | 0.6754 |
BigBenchreasoning64.23_date_understandingmedium| bigbench_date_understanding | multiple_choice_grade | 0.6423 |
BigBenchreasoning61.05_causal_judgementmedium| bigbench_causal_judgement | multiple_choice_grade | 0.6105 |
BigBenchreasoning60.22_snarksmedium| bigbench_snarks | multiple_choice_grade | 0.6022 |
BigBenchreasoning57.5_reasoning_about_colored_objectsmedium| bigbench_reasoning_about_colored_objects | multiple_choice_grade | 0.5750 |
ARC-Challengeknowledge56.14*_challenge*medium| *arc_challenge* | acc_norm | 0.5614 |
MMLUknowledge52.42**medium| *mmlu* | acc_norm | 0.5242 |
TruthfulQAsafety51.6*_mc*medium| *truthfulqa_mc* | mc2 | 0.5160 |
BigBenchreasoning51.22_sports_understandingmedium| bigbench_sports_understanding | multiple_choice_grade | 0.5122 |
BigBenchreasoning50.02_formal_fallacies_syllogisms_negationmedium| bigbench_formal_fallacies_syllogisms_negation | multiple_choice_grade | 0.5002 |
BigBenchreasoning50.0_navigatemedium| bigbench_navigate | multiple_choice_grade | 0.5000 |
BigBenchreasoning41.33_logical_deduction_three_objectsmedium| bigbench_logical_deduction_three_objects | multiple_choice_grade | 0.4133 |
BigBenchreasoning41.33_tracking_shuffled_objects_three_objectsmedium| bigbench_tracking_shuffled_objects_three_objects | multiple_choice_grade | 0.4133 |
BigBenchreasoning36.43_disambiguation_qamedium| bigbench_disambiguation_qa | multiple_choice_grade | 0.3643 |
OpenBookQAknowledge35.6medium| openbookqa | acc | 0.356 |
BigBenchreasoning32.81_ruin_namesmedium| bigbench_ruin_names | multiple_choice_grade | 0.3281 |
BigBenchreasoning30.0_movie_recommendationmedium| bigbench_movie_recommendation | multiple_choice_grade | 0.3000 |
BigBenchreasoning29.76_salient_translation_error_detectionmedium| bigbench_salient_translation_error_detection | multiple_choice_grade | 0.2976 |
BigBenchreasoning27.0_logical_deduction_five_objectsmedium| bigbench_logical_deduction_five_objects | multiple_choice_grade | 0.2700 |
BigBenchreasoning20.0_dyck_languagesmedium| bigbench_dyck_languages | multiple_choice_grade | 0.2000 |
BigBenchreasoning19.76_tracking_shuffled_objects_five_objectsmedium| bigbench_tracking_shuffled_objects_five_objects | multiple_choice_grade | 0.1976 |
BigBenchreasoning19.29_logical_deduction_seven_objectsmedium| bigbench_logical_deduction_seven_objects | multiple_choice_grade | 0.1929 |
BigBenchreasoning14.5_temporal_sequencesmedium| bigbench_temporal_sequences | multiple_choice_grade | 0.1450 |
BigBenchreasoning14.4_tracking_shuffled_objects_seven_objectsmedium| bigbench_tracking_shuffled_objects_seven_objects | multiple_choice_grade | 0.1440 |

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