TL;DR:
- Uncensored, Mistral 7B based model that lets you write stories in collaborative fashion, but also works nicely for chat / (E)RP
- Hugging Face link: https://huggingface.co/dreamgen/opus-v0-7b
Hey everyone, I am excited to share with you the first release of “DreamGen Opus”, an uncensored model that lets you write stories in collaborative fashion, but also works nicely for chat / (E)RP.
Specifically, it understands the following prompt syntax (yes, another one — please don’t hate :D):
(Description of the story, can also optionally include information about characters)
...
(Instructions as you write the story, to guide the next few sentences / paragraphs)
You can find more details about prompting the model in the official prompting guide, including a few examples (like for chat / ERP).
The initial model is based on Mistral 7B, but Llama 2 70B version is in the works and if things go well, should be out within 2 weeks (training is quite slow :)).
The model is based on a custom dataset that has >1M tokens of instructed examples like the above, and order of magnitude more examples that are a bit less instructed.
How to try it out
The model should work great with any tool that supports the Mistral 7B base model. It will work well with oobabooga/text-generation-webui and many other tools. I like vLLM.
Using vLLM
- Install vLLM following the instructions in the repo
- Run python -u -m vllm.entrypoints.openai.api_server --host 0.0.0.0 --model dreamgen/opus-v0-7b
Using DreamGen.com website (free)
You can also try the model on dreamgen.com for free (but it requires a registration with email).
What’s next
I believe that for story telling & character creation it’s especially important to have access to the model weights, otherwise you run the risk of losing your plot or virtual companion (as already happened a few times before on various closed platforms that suddenly changed their rules or got shut down by their API provider). Hence DreamGen.
Here’s a high level overview of what I would like to do next under the DreamGen umbrella:
On the model side:
- (Soon) Larger story models
- Fine tune the model for even better character chat & roleplay
- Longer context windows, at least for smaller models (8-16K depending on how experiments go)
On the application side, I am thinking about these features:
- Character editor, chat & roleplay
- Ability to share your stories privately & publicly (not sure about this one, to be honest :))
- Image generation to go alongside with story generation & chat
- API so that you can use the model more easily if you don’t have a GPU
For all of these, I would love your input! You can vote on the roadmap here.
For more updates, join the community server or follow updates on Twitter.
There was a bug on the website where the first time the “Continue” would not work if you did not refresh, should work now even though the editor is quite janky still, sorry for that :(
(can’t wait for AI to take over React from me :P)
but Llama 2 70B version is in the works
Might I suggest you use Yi-34B-200K instead? Or maybe later?
The problem I always have with storytelling models is slamming into the context limit, but Yi is already storytelling well out to 42K tokens for me, with just a basic Alpaca LoRA.
Awesome l
Becoming your own AI company has never been easier 😊
I was going to suggest you triain on Yi 34B 200K instead of Llama 70B, as my biggest issue with storytelling models is slamming into the context limit.
…But I just remembered that Yi has a stupid noncommercial license https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE
Ugh. I hope a long context ~34B comes out that doesn’t have such an ugly license.
Why only 7B?
Sooo, how’s the model?
Any GGUF quantized download available?
Great news, the great /u/TheBloke is working on this!