Model: QuantFactory/gemma2-gutenberg-9B-GGUF
Author: QuantFactory
Library: transformers
Tags: transformers, gguf, dataset:jondurbin/gutenberg-dpo-v0.1, base_model:UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3, base_model:quantized:UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3, license:gemma, model-index, endpoints_compatible, region:us, conversational
Base models (quantized): id: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
Card metadata: license: gemma
library_name: transformers
base_model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
datasets: jondurbin/gutenberg-dpo-v0.1
model-index: name: gemma2-gutenberg-9B
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: 27.96
name: strict accuracy
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/gemma2-gutenberg-9B
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: 42.36
name: normalized accuracy
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/gemma2-gutenberg-9B
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: 1.44
name: exact match
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/gemma2-gutenberg-9B
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: 11.74
name: acc_norm
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/gemma2-gutenberg-9B
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: 16.71
name: acc_norm
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/gemma2-gutenberg-9B
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: 35.47
name: accuracy
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/gemma2-gutenberg-9B
name: Open LLM Leaderboard
Likes: 2 | All-time downloads: 2650
Created: 2024-09-02 06:25:01