Model: recoilme/recoilme-gemma-2-9B-v0.3
Author: recoilme
Tags: safetensors, gemma2, license:cc-by-nc-4.0, model-index, region:us
Card metadata: license: cc-by-nc-4.0
model-index: name: recoilme-gemma-2-9B-v0.3
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: 74.39
name: strict accuracy
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=recoilme/recoilme-gemma-2-9B-v0.3
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: 42.03
name: normalized accuracy
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=recoilme/recoilme-gemma-2-9B-v0.3
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: 8.76
name: exact match
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=recoilme/recoilme-gemma-2-9B-v0.3
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: 9.84
name: acc_norm
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=recoilme/recoilme-gemma-2-9B-v0.3
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: 12.08
name: acc_norm
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=recoilme/recoilme-gemma-2-9B-v0.3
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: 34.14
name: accuracy
verified: no
source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=recoilme/recoilme-gemma-2-9B-v0.3
name: Open LLM Leaderboard
Likes: 4 | All-time downloads: 34191
Created: 2024-09-18 18:31:20