woofwolfy/WestIceLemonTeaRP-32k-7b-Q5_K_M-GGUF-Imatrix
This model was converted to GGUF format from icefog72/WestIceLemonTeaRP-32k-7b
using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
WestIceLemonTeaRP-32k-7b
This is a merge of pre-trained language models created using mergekit.
Merge Details
Prompt template: Alpaca, maybe ChatML
- measurement.json for quanting exl2 included.
thx mradermacher and SilverFan for
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
- IceLemonTeaRP-32k-7b
- WestWizardIceLemonTeaRP
- SeverusWestLake-7B-DPO
- WizardIceLemonTeaRP
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: IceLemonTeaRP-32k-7b
layer_range: [0, 32]
- model: WestWizardIceLemonTeaRP
layer_range: [0, 32]
merge_method: slerp
base_model: IceLemonTeaRP-32k-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: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 71.27 |
AI2 Reasoning Challenge (25-Shot) | 68.77 |
HellaSwag (10-Shot) | 86.89 |
MMLU (5-Shot) | 64.28 |
TruthfulQA (0-shot) | 62.47 |
Winogrande (5-shot) | 80.98 |
GSM8k (5-shot) | 64.22 |
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Model tree for woofwolfy/WestIceLemonTeaRP-32k-7b-Q5_K_M-GGUF-Imatrix
Base model
icefog72/WestIceLemonTeaRP-32k-7bEvaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard68.770
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard86.890
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.280
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard62.470
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard80.980
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard64.220