⭐ UPDATE ⭐
Use this instead:
https://hf.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
OpenHermes-2.5-neural-chat-v3-2-Slerp
This is the model for OpenHermes-2.5-neural-chat-v3-2-Slerp. I used mergekit to merge models.
Prompt Templates
You can use these prompt templates, but I recommend using ChatML.
ChatML (OpenHermes-2.5-Mistral-7B):
<|im_start|>system
{system}<|im_end|>
<|im_start|>user
{user}<|im_end|>
<|im_start|>assistant
{asistant}<|im_end|>
neural-chat-7b-v3-2
### System:
{system}
### User:
{user}
### Assistant:
Yaml Config to reproduce
slices:
- sources:
- model: teknium/OpenHermes-2.5-Mistral-7B
layer_range: [0, 32]
- model: Intel/neural-chat-7b-v3-2
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: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 70.2 |
ARC (25-shot) | 67.49 |
HellaSwag (10-shot) | 85.42 |
MMLU (5-shot) | 64.13 |
TruthfulQA (0-shot) | 61.05 |
Winogrande (5-shot) | 80.3 |
GSM8K (5-shot) | 63.08 |
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