Quantization made by Richard Erkhov.
ECE-PRYMMAL-0.5B-FT-V5-MUSR - GGUF
Original model description:
license: apache-2.0
library_name: transformers
model-index:
- name: ECE-PRYMMAL-0.5B-FT-V5-MUSR
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: 21.38
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lalainy/ECE-PRYMMAL-0.5B-FT-V5-MUSR
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. | 6.52 |
| IFEval (0-Shot) | 21.38 |
| BBH (3-Shot) | 6.49 |
| MATH Lvl 5 (4-Shot) | 1.28 |
| GPQA (0-shot) | 3.24 |
| MuSR (0-shot) | 0.78 |
| MMLU-PRO (5-shot) | 5.93 |
