merged
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the task arithmetic merge method using teknium/OpenHermes-2.5-Mistral-7B as a base.
Models Merged
The following models were included in the merge:
- nlpguy/Hermes-low-tune-2
- charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
- openaccess-ai-collective/openhermes-2_5-dpo-no-robots
- flemmingmiguel/Mistrality-7B
- beowolx/MistralHermes-CodePro-7B-v1
Configuration
The following YAML configuration was used to produce this model:
base_model: teknium/OpenHermes-2.5-Mistral-7B
dtype: bfloat16
merge_method: task_arithmetic
slices:
- sources:
- layer_range: [0, 32]
model: teknium/OpenHermes-2.5-Mistral-7B
- layer_range: [0, 32]
model: nlpguy/Hermes-low-tune-2
parameters:
weight: 0.2
- layer_range: [0, 32]
model: beowolx/MistralHermes-CodePro-7B-v1
parameters:
weight: 0.2
- layer_range: [0, 32]
model: flemmingmiguel/Mistrality-7B
parameters:
weight: 0.2
- layer_range: [0, 32]
model: charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
parameters:
weight: 0.2
- layer_range: [0, 32]
model: openaccess-ai-collective/openhermes-2_5-dpo-no-robots
parameters:
weight: 0.2
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 68.31 |
AI2 Reasoning Challenge (25-Shot) | 65.44 |
HellaSwag (10-Shot) | 84.60 |
MMLU (5-Shot) | 64.13 |
TruthfulQA (0-shot) | 53.59 |
Winogrande (5-shot) | 78.61 |
GSM8k (5-shot) | 63.46 |
- Downloads last month
- 54
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for nlpguy/Hermes-low-tune-3.1
Merge model
this model
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard65.440
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard84.600
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.130
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard53.590
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard78.610
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard63.460