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---
license: llama2
language:
- en
tags:
- mistral
library_name: transformers
pipeline_tag: text-generation
mergekit:
- Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp
- uukuguy/speechless-mistral-six-in-one-7b
datasets:
- stingning/ultrachat
- garage-bAInd/Open-Platypus
- Open-Orca/OpenOrca
- TIGER-Lab/MathInstruct
- OpenAssistant/oasst_top1_2023-08-25
- teknium/openhermes
- meta-math/MetaMathQA
- Open-Orca/SlimOrca
---
<p align="center">
<img src="https://codeberg.org/aninokuma/DeydooAssistant/raw/branch/main/logo.webp" height="256px" alt="SynthIQ">
</p>
# SynthIQ
This is SynthIQ, rated 92.23/100 by GPT-4 across varied complex prompts. I used [mergekit](https://github.com/cg123/mergekit) to merge models.
# Yaml Config
```yaml
slices:
- sources:
- model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp
layer_range: [0, 32]
- model: uukuguy/speechless-mistral-six-in-one-7b
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
tokenizer_source: union
dtype: bfloat16
```
<!-- prompt-template start -->
## Prompt template: ChatML
```
<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
```
<!-- prompt-template end -->
License is LLama2 license as uukuguy/speechless-mistral-six-in-one-7b is llama2 license. |