![Concept Art, Stellar4](cc.jpg)
Model trained to be as helpful of an assistant as possible.

### Data split percentage
60% coding
10% conversations
20% instructions
10% Roleplay

Now obviously the data contains other elements but this is the biggest part

### Examples
```
The prompt structure can be almost anything, this model has been trained on 0.6 million instruction, which is less than dante.
 This model has however been trained on a much cleaner and organized dataset and has been retrained multiple times to reach as low
of a training loss as possible.

## Examples.

"You are an AI assistant respond to human in a helpful manner.
HM: What were the causes for world war 2?
"

"Act like a detective from the 1900s, respond to mike in a helpful manner.
HM: What were the causes for world war 2?
"

The prompt also works with alpaca structure. I have purposefully trained it so that it should work like this.
EOS token is <|end|>.

Remember to tell it how it should act for best effect.
```

### More information
The base model is GPT-NeoX taken pretrained by redpajama.

We managed to reach 0.45 Validation loss with a 0.3 learning loss.

You are not allowed to use this for commerical purposes unless reaching an agreement with the creator @Dampish, @Dampish#3607 on discord.





The model can easily be further fine tuned to most languages.
{"license": "cc-by-nc-sa-4.0"}
license:cc-by-nc-sa-4.0 region:us
TAGS
#license-cc-by-nc-sa-4.0 #region-us 

!Concept Art, Stellar4
Model trained to be as helpful of an assistant as possible.

### Data split percentage
60% coding
10% conversations
20% instructions
10% Roleplay

Now obviously the data contains other elements but this is the biggest part

### Examples


### More information
The base model is GPT-NeoX taken pretrained by redpajama.

We managed to reach 0.45 Validation loss with a 0.3 learning loss.

You are not allowed to use this for commerical purposes unless reaching an agreement with the creator @Dampish, @Dampish#3607 on discord.





The model can easily be further fine tuned to most languages.
### Data split percentage
60% coding
10% conversations
20% instructions
10% Roleplay

Now obviously the data contains other elements but this is the biggest part ### Examples ### More information
The base model is GPT-NeoX taken pretrained by redpajama.

We managed to reach 0.45 Validation loss with a 0.3 learning loss.

You are not allowed to use this for commerical purposes unless reaching an agreement with the creator @Dampish, @Dampish#3607 on discord.





The model can easily be further fine tuned to most languages.
TAGS
#license-cc-by-nc-sa-4.0 #region-us 
 ### Data split percentage
60% coding
10% conversations
20% instructions
10% Roleplay

Now obviously the data contains other elements but this is the biggest part ### Examples ### More information
The base model is GPT-NeoX taken pretrained by redpajama.

We managed to reach 0.45 Validation loss with a 0.3 learning loss.

You are not allowed to use this for commerical purposes unless reaching an agreement with the creator @Dampish, @Dampish#3607 on discord.





The model can easily be further fine tuned to most languages.