Model: theprint/Boptruth-Agatha-7B
Author: theprint
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, gguf, mistral, text-generation, gpt, llm, large language model, h2o-llmstudio, theprint, boptruth, conversational, en, dataset:theprint/MysteryWriter, model-index, text-generation-inference, region:us
Card metadata: language: en
library_name: transformers
tags: gpt, llm, large language model, h2o-llmstudio, theprint, boptruth
datasets: theprint/MysteryWriter
inference: no
thumbnail: https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico
model-index: name: Boptruth-Agatha-7B
results: task: type: text-generation
name: Text Generation
dataset: name: IFEval (0-Shot)
type: HuggingFaceH4/ifeval
args: num_few_shot: 0
metrics: type: inst_level_strict_acc and prompt_level_strict_acc
value: 31.24
name: strict accuracy
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=theprint/Boptruth-Agatha-7B
name: Open LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: BBH (3-Shot)
type: BBH
args: num_few_shot: 3
metrics: type: acc_norm
value: 29.29
name: normalized accuracy
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=theprint/Boptruth-Agatha-7B
name: Open LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: MATH Lvl 5 (4-Shot)
type: hendrycks/competition_math
args: num_few_shot: 4
metrics: type: exact_match
value: 4.61
name: exact match
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=theprint/Boptruth-Agatha-7B
name: Open LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: GPQA (0-shot)
type: Idavidrein/gpqa
args: num_few_shot: 0
metrics: type: acc_norm
value: 6.6
name: acc_norm
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=theprint/Boptruth-Agatha-7B
name: Open LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: MuSR (0-shot)
type: TAUR-Lab/MuSR
args: num_few_shot: 0
metrics: type: acc_norm
value: 11.76
name: acc_norm
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=theprint/Boptruth-Agatha-7B
name: Open LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: MMLU-PRO (5-shot)
type: TIGER-Lab/MMLU-Pro
config: main
split: test
args: num_few_shot: 5
metrics: type: acc
value: 20.67
name: accuracy
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=theprint/Boptruth-Agatha-7B
name: Open LLM Leaderboard
Likes: 0 | All-time downloads: 3961
Created: 2024-09-11 17:14:18