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---
license: apache-2.0
---
# Seraph-7B
This is the model for Seraph-7B. I used [mergekit](https://github.com/cg123/mergekit) to merge models.
# Prompt Templates
You can use these prompt templates, but I recommend using ChatML.
### ChatML:
```
<|im_start|>system
{system}<|im_end|>
<|im_start|>user
{user}<|im_end|>
<|im_start|>assistant
{asistant}<|im_end|>
```
### System, User, Asistant Alpaca Style:
```
### System:
{system}
### User:
{user}
### Assistant:
```
# Yaml Config
```yaml
slices:
- sources:
- model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
layer_range: [0, 32]
- model: Q-bert/MetaMath-Cybertron-Starling
layer_range: [0, 32]
merge_method: slerp
base_model: mistralai/Mistral-7B-v0.1
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 # fallback for rest of tensors
dtype: bfloat16
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__Seraph-7B)
| Metric | Value |
|-----------------------|---------------------------|
| Avg. | 71.86 |
| ARC (25-shot) | 67.83 |
| HellaSwag (10-shot) | 86.22 |
| MMLU (5-shot) | 65.07|
| TruthfulQA (0-shot) | 59.49 |
| Winogrande (5-shot) | 80.66 |
| GSM8K (5-shot) | 71.87 | |