Quantization made by Richard Erkhov.
d2nwg_causal_gpt2 - GGUF
Original model description:
library_name: transformers
tags: []
model-index:
- name: d2nwg_causal_gpt2
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: 19.16
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DeepAutoAI/d2nwg_causal_gpt2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: BBH
args:
num_few_shot: 3
metrics:
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: hendrycks/competition_math
args:
num_few_shot: 4
metrics:
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
args:
num_few_shot: 0
metrics:
- task:
type: text-generation
name: Text Generation
dataset:
name: MuSR (0-shot)
type: TAUR-Lab/MuSR
args:
num_few_shot: 0
metrics:
- 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:
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Detailed results can be found
here| Metric | Value |
|---|
| Avg. | 6.29 |
| IFEval (0-Shot) | 19.16 |
| BBH (3-Shot) | 2.85 |
| MATH Lvl 5 (4-Shot) | 0.38 |
| GPQA (0-shot) | 1.01 |
| MuSR (0-shot) | 12.68 |
| MMLU-PRO (5-shot) | 1.68 |
