This is a merged pre-trained language model created using the TIES merge method. It is based on the microsoft/Phi-3.5-mini-instruct model and incorporates the knowledge and capabilities of the nbeerbower/phi3.5-gutenberg-4B and ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1 models.
Capabilities:
- Roleplay: The model can engage in role-playing scenarios, taking on different personas and responding to prompts in a character-appropriate manner.
- Creative Writing: It can assist in creative writing tasks, such as brainstorming ideas, generating plotlines, or developing characters.
- Reasoning: The model can reason about information and draw conclusions based on the data it has been trained on.
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the TIES merge method using microsoft/Phi-3.5-mini-instruct as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1
parameters:
weight: 1
- model: nbeerbower/phi3.5-gutenberg-4B
parameters:
weight: 1
merge_method: ties
base_model: microsoft/Phi-3.5-mini-instruct
parameters:
density: 1
normalize: true
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 25.29 |
IFEval (0-Shot) | 52.28 |
BBH (3-Shot) | 35.45 |
MATH Lvl 5 (4-Shot) | 6.19 |
GPQA (0-shot) | 10.85 |
MuSR (0-shot) | 15.80 |
MMLU-PRO (5-shot) | 31.18 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard52.280
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard35.450
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard6.190
- acc_norm on GPQA (0-shot)Open LLM Leaderboard10.850
- acc_norm on MuSR (0-shot)Open LLM Leaderboard15.800
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard31.180