---
license: apache-2.0
---

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/ddzjZ1irvtLcDRCWei9vQ.png)

# 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        |