README.md

---
inference: false
language:
- en
- de
- fr
- it
- es
- id
- ar
- ko
- no
- ru
- hi
- zh
library_name: transformers
license: apache-2.0
model_creator: LHC88
model_name: XPurpose-ClownCar-v0
model_type: Mixtral MoE
pipeline_tag: text-generation
prompt_template: '<|im_start|>system

  {system_message}<|im_end|>

  <|im_start|>user

  {prompt}<|im_end|>

  <|im_start|>assistant

  '
quantized_by: LHC
tags:
- mistral
- finetune
- dpo
- multi-language
- multi-purpose
- MoE
- Mixture-of-Experts
- mixtral
---
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<!-- header start -->
<!-- 200823 -->
<div style="display: flex; justify-content: space-between; width: 100%;">
    <div style="display: flex; flex-direction: column; align-items: flex-start;">
        <p style="margin-top: 0.5em; margin-bottom: 0em;"><a href="https://www.linkedin.com/in/lucas-h%C3%A4nke-de-cansino-8b8521234/">Chat & support: LHC's LinkedIn</a></p>
    </div>
    <div style="display: flex; flex-direction: column; align-items: flex-end;">
        <p style="margin-top: 0.5em; margin-bottom: 0em;"><a href="https://github.com/sponsors/l4b4r4b4b4">Want to contribute? LHC's Github Sponsors</a></p>
    </div>
</div>

<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
<!-- header end -->

<!-- description start -->
XPurpose-ClownCar-v0 is a multi-purpose MoE-model with the following expert configuration.

```yaml
base_model: openaccess-ai-collective/DPOpenHermes-7B
dtype: bfloat16
experts:
- positive_prompts:
  - instruction
  - solutions
  - chat
  - questions
  - comprehension
  source_model: teknium/OpenHermes-2.5-Mistral-7B
- negative_prompts:
  - chat
  - questions
  - python
  positive_prompts:
  - coding
  - programming
  - code
  - programming language
  source_model: codellama/CodeLlama-13b-hf
- negative_prompts:
  - chat
  - questions
  positive_prompts:
  - python
  - pip
  - coding
  - programming
  - code
  - programming language
  source_model: codellama/CodeLlama-13b-Python-hf
- negative_prompts:
  - chat
  - questions
  positive_prompts:
  - mathematics
  - optimization
  - step-by-step
  - science
  source_model: cognitivecomputations/dolphin-2.6-mistral-7b-dpo
- negative_prompts:
  - chat
  - questions
  positive_prompts:
  - bedtime story
  - Once upon a time
  - storytelling
  - narrator
  source_model: tom92119/llama-2-7b-bedtime-story
- negative_prompts:
  - chat
  - questions
  positive_prompts:
  - story
  - Once upon a time
  - storytelling
  - narrator
  source_model: Norquinal/Mistral-7B-storywriter
- negative_prompts:
  - chat
  - questions
  - instruction
  - solutions
  - chat
  - comprehension
  - mathematics
  - optimization
  - code
  - step-by-step
  - science
  positive_prompts:
  - function calls
  - functions
  - constrained grammar
  - API calls
  - LLM Tools
  source_model: meetkai/functionary-small-v2.2
- positive_prompts:
  - indonesian
  - indonesia
  source_model: azale-ai/Starstreak-7b-beta
- positive_prompts:
  - arabic
  - arab
  source_model: gagan3012/Mistral_arabic_dpo
- positive_prompts:
  - korean
  - korea
  source_model: davidkim205/komt-mistral-7b-v1
- positive_prompts:
  - chinese
  - china
  source_model: OpenBuddy/openbuddy-zephyr-7b-v14.1
- positive_prompts:
  - hindi
  - india
  source_model: manishiitg/open-aditi-hi-v1
- positive_prompts:
  - german
  - deutsch
  - Germany
  source_model: VAGOsolutions/SauerkrautLM-7b-v1-mistral
- positive_prompts:
  - Norway
  - Norwegian
  - Norsk
  source_model: bineric/NorskGPT-Mistral-7b
- positive_prompts:
  - Russian
  - Russia
  - "\u0420\u0443\u0441\u0441\u043A\u0438\u0439"
  - "\u0420\u043E\u0441\u0441\u0438\u044F"
  source_model: Droidfanat/llama-2-7b-custom-russian
gate_mode: hidden
```
<!-- description end -->

<!-- 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 -->