Paradigm
An incredibly effective and intelligent RP model designed to be the best bot you've ever used. I hope you like it!
GGUF available here: https://huggingface.co/Lewdiculous/Paradigm_7B-GGUF-IQ-Imatrix
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 75.47 |
| AI2 Reasoning Challenge (25-Shot) | 73.63 |
| HellaSwag (10-Shot) | 88.66 |
| MMLU (5-Shot) | 64.02 |
| TruthfulQA (0-shot) | 75.19 |
| Winogrande (5-shot) | 84.53 |
| GSM8k (5-shot) | 66.79 |
Configuration
The following YAML configuration was used to produce this model:
merge_method: dare_ties
base_model: ChaoticNeutrals/Eris_Remix_7B
parameters:
normalize: true
models:
- model: ChaoticNeutrals/Eris_Remix_7B
parameters:
weight: 1
- model: ResplendentAI/Datura_7B
parameters:
weight: 1
- model: liminerity/Multiverse-Experiment-slerp-7b+jeiku/Alpaca_NSFW_Shuffled_Mistral
parameters:
weight: 0.33
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 75.47 |
| AI2 Reasoning Challenge (25-Shot) | 73.63 |
| HellaSwag (10-Shot) | 88.66 |
| MMLU (5-Shot) | 64.02 |
| TruthfulQA (0-shot) | 75.19 |
| Winogrande (5-shot) | 84.53 |
| GSM8k (5-shot) | 66.79 |
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Datasets used to train ResplendentAI/Paradigm_7B
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard73.630
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard88.660
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.020
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard75.190
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard84.530
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard66.790