THIS MODEL IS NOT QUITE FULLY FINISHED OR TESTED, PLEASE TAKE THIS INTO CONSIDERATION.



---
license: apache-2.0

---
tags:
- Composer
- MosaicML
- llm-foundry
- AnimusOG
- Oobabooga
- KoboldAI
- Text-Generation
- Conversational
- Uncensored

---
# MPT-7B-StoryWriter-65k+

Quantized for [KoboldAI (4bit-fork)](https://github.com/0cc4m/koboldAI)

## How to Use

### This is meant to be used with the oobabooga text-generation-webui: 

[Oobabooga](https://github.com/oobabooga/text-generation-webui)

## webui.py command flags when starting Oobabooga:

--trust-remote-code --model-type llama


### MPT-7B-StoryWriter-65k+ can extrapolate even beyond 65k tokens.


## Model Date

May 15, 2023

## Model License

Apache-2.0 (commercial use permitted)

## Documentation

* [Blog post: Introducing MPT-7B: A New Standard for Open-Source, Commercially Usable LLMs](https://www.mosaicml.com/blog/mpt-7b)
* [Codebase (mosaicml/llm-foundry repo)](https://github.com/mosaicml/llm-foundry/)
* Questions: Feel free to contact us via the [MosaicML Community Slack](https://join.slack.com/t/mosaicml-community/shared_invite/zt-1btms90mc-GipE2ufuPkKY0QBrmF3LSA)!



## Citation

Please cite this model using the following format:

```
@online{MosaicML2023Introducing,
    author    = {MosaicML NLP Team},
    title     = {Introducing MPT-7B: A New Standard for Open-Source, Commercially Usable LLMs},
    year      = {2023},
    url       = {www.mosaicml.com/blog/mpt-7b},
    note      = {Accessed: 2023-03-28}, % change this date
    urldate   = {2023-03-28} % change this date
}
```

{}
transformers mpt text-generation custom_code autotrain_compatible text-generation-inference region:us
TAGS
#transformers #mpt #text-generation #custom_code #autotrain_compatible #text-generation-inference #region-us 

THIS MODEL IS NOT QUITE FULLY FINISHED OR TESTED, PLEASE TAKE THIS INTO CONSIDERATION.



---
license: apache-2.0

---
tags:
- Composer
- MosaicML
- llm-foundry
- AnimusOG
- Oobabooga
- KoboldAI
- Text-Generation
- Conversational
- Uncensored

---
# MPT-7B-StoryWriter-65k+

Quantized for KoboldAI (4bit-fork)

## How to Use

### This is meant to be used with the oobabooga text-generation-webui: 

Oobabooga

## URL command flags when starting Oobabooga:

--trust-remote-code --model-type llama


### MPT-7B-StoryWriter-65k+ can extrapolate even beyond 65k tokens.


## Model Date

May 15, 2023

## Model License

Apache-2.0 (commercial use permitted)

## Documentation

* Blog post: Introducing MPT-7B: A New Standard for Open-Source, Commercially Usable LLMs
* Codebase (mosaicml/llm-foundry repo)
* Questions: Feel free to contact us via the MosaicML Community Slack!



Please cite this model using the following format:



# MPT-7B-StoryWriter-65k+

Quantized for KoboldAI (4bit-fork) ## How to Use ### This is meant to be used with the oobabooga text-generation-webui: 

Oobabooga ## URL command flags when starting Oobabooga:

--trust-remote-code --model-type llama ### MPT-7B-StoryWriter-65k+ can extrapolate even beyond 65k tokens. ## Model Date

May 15, 2023 ## Model License

Apache-2.0 (commercial use permitted) ## Documentation

* Blog post: Introducing MPT-7B: A New Standard for Open-Source, Commercially Usable LLMs
* Codebase (mosaicml/llm-foundry repo)
* Questions: Feel free to contact us via the MosaicML Community Slack!



Please cite this model using the following format:
TAGS
#transformers #mpt #text-generation #custom_code #autotrain_compatible #text-generation-inference #region-us 
 # MPT-7B-StoryWriter-65k+

Quantized for KoboldAI (4bit-fork) ## How to Use ### This is meant to be used with the oobabooga text-generation-webui: 

Oobabooga ## URL command flags when starting Oobabooga:

--trust-remote-code --model-type llama ### MPT-7B-StoryWriter-65k+ can extrapolate even beyond 65k tokens. ## Model Date

May 15, 2023 ## Model License

Apache-2.0 (commercial use permitted) ## Documentation

* Blog post: Introducing MPT-7B: A New Standard for Open-Source, Commercially Usable LLMs
* Codebase (mosaicml/llm-foundry repo)
* Questions: Feel free to contact us via the MosaicML Community Slack!



Please cite this model using the following format: