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Merge of teknium/OpenHermes-2.5-Mistral-7B and Intel/neural-chat-7b-v3-2 using ties merge.
Note: Intel/neural-chat-7b-v3-1 merge version is available here
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-v3-2
### System:
{system}
### User:
{user}
### 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. | 68.71 |
| AI2 Reasoning Challenge (25-Shot) | 66.38 |
| HellaSwag (10-Shot) | 84.11 |
| MMLU (5-Shot) | 62.84 |
| TruthfulQA (0-shot) | 63.59 |
| Winogrande (5-shot) | 78.53 |
| GSM8k (5-shot) | 56.79 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard66.380
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard84.110
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard62.840
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard63.590
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard78.530
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard56.790