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Merge of teknium/OpenHermes-2.5-Mistral-7B and Intel/neural-chat-7b-v3-1 using ties merge.

Weights

Density

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-v3-1

### System:
{system}
### User:
{usr}
### Assistant:

Quantizationed versions

Quantizationed versions of this model is available thanks to TheBloke.

GPTQ
GGUF
AWQ

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 67.84
ARC (25-shot) 66.55
HellaSwag (10-shot) 84.47
MMLU (5-shot) 63.34
TruthfulQA (0-shot) 61.22
Winogrande (5-shot) 78.37
GSM8K (5-shot) 53.07

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Dataset used to train Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-1-7B

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