7B Mistral Merges
Collection
A collection of my 7B parameter merges
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Updated
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🌠 Multiparadigm_7B
Multiparadigm_7B is a merge of the following models:
Quantizations
Thanks to mradermacher, static GGUF quants are available here.
Configuration
slices:
- sources:
- model: MTSAIR/multi_verse_model
layer_range: [0, 32]
- model: ResplendentAI/Paradigm_7B
layer_range: [0, 32]
merge_method: slerp
base_model: MTSAIR/multi_verse_model
parameters:
t:
- filter: self_attn
value: [0, 0.6, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.6, 0.7, 0.3, 0]
- value: 0.6
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 76.08 |
| AI2 Reasoning Challenge (25-Shot) | 73.21 |
| HellaSwag (10-Shot) | 88.95 |
| MMLU (5-Shot) | 64.28 |
| TruthfulQA (0-shot) | 76.87 |
| Winogrande (5-shot) | 83.82 |
| GSM8k (5-shot) | 69.37 |
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Model tree for rmdhirr/Multiparadigm_7B
Collection including rmdhirr/Multiparadigm_7B
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard73.210
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard88.950
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.280
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard76.870
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard83.820
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard69.370