5.0 KiB
5.0 KiB
license, library_name, tags, base_model, model-index
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| cc-by-nc-4.0 | transformers |
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giraffe176/Open_Maid_Samantha_Hermes_Orca
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
- cognitivecomputations/samantha-1.1-westlake-7b
- NeverSleep/Noromaid-7B-0.4-DPO
- OpenHermes-2.5-Mistral-7B
- Open-Orca/Mistral-7B-OpenOrca
Configuration
The following YAML configuration was used to produce this model:
models:
- model: cognitivecomputations/samantha-1.1-westlake-7b
layer_range: [0, 32]
- model: NeverSleep/Noromaid-7B-0.4-DPO
layer_range: [0, 32]
merge_method: slerp
base_model: NeverSleep/Noromaid-7B-0.4-DPO
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
name: workspace1
---
models:
- model: teknium/OpenHermes-2.5-Mistral-7B
layer_range: [0, 32]
- model: Open-Orca/Mistral-7B-OpenOrca
layer_range: [0, 32]
merge_method: slerp
base_model: teknium/OpenHermes-2.5-Mistral-7B
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
name: workspace2
---
models:
- model: workspace1
layer_range: [0, 32]
- model: workspace2
layer_range: [0, 32]
merge_method: slerp
base_model: workspace1
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 68.81 |
| AI2 Reasoning Challenge (25-Shot) | 66.81 |
| HellaSwag (10-Shot) | 85.83 |
| MMLU (5-Shot) | 64.58 |
| TruthfulQA (0-shot) | 53.91 |
| Winogrande (5-shot) | 80.35 |
| GSM8k (5-shot) | 61.41 |