Quantization made by Richard Erkhov.
MiniCPM-3B-Hercules-v2.0 - GGUF
Original model description:
license: apache-2.0
library_name: transformers
model-index:
- name: MiniCPM-3B-Hercules-v2.0
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
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Detailed results can be found
here| Metric | Value |
|---|
| Avg. | 52.52 |
| AI2 Reasoning Challenge (25-Shot) | 43.26 |
| HellaSwag (10-Shot) | 71.11 |
| MMLU (5-Shot) | 51.82 |
| TruthfulQA (0-shot) | 40.37 |
| Winogrande (5-shot) | 66.46 |
| GSM8k (5-shot) | 42.08 |
