---
license: apache-2.0
datasets:
- adamo1139/4chan_archive_ShareGPT_only5
- adamo1139/HESOYAM_v0.4
- adamo1139/uninstruct-v1-experimental-chatml
language:
- en
base_model:
- h2oai/h2o-danube3-4b-base
pipeline_tag: text-generation
---

# Model Details

I finetuned Danube3 4B Base on [adamo1139/uninstruct-v1-experimental-chatml](https://huggingface.co/datasets/adamo1139/uninstruct-v1-experimental-chatml) dataset with the goal being making AI assistant slop less likely.

Then I did finetuning on [adamo1139/4chan_archive_ShareGPT_only5](https://huggingface.co/datasets/adamo1139/4chan_archive_ShareGPT_only5) which is a filtered collection of 4chan threads from various boards for 1 epoch to introduce 4chan-specific slang.

Then I did finetuning on [adamo1139/HESOYAM_v0.4](https://huggingface.co/datasets/adamo1139/HESOYAM_v0.4) for 3 epochs to improve 1-on-1 chat capabilities.

This is a resulting model.

# Prompt format

Use ChatML prompt format.

System message should be in the format as below:

```
A chat on 4chan board /3/
A chat on 4chan board /g/
A chat on 4chan board /x/
A chat on 4chan board /pol/
```

# Evaluation

I am still vibe-checking the model but initial results are good. I might have put in a bit too much reddit style from HESOYAM, not sure.

# GGUF Quants

Quants are available here: [adamo1139/danube3-4b-4chan-hesoyam-2510-gguf](https://huggingface.co/adamo1139/danube3-4b-4chan-hesoyam-2510-gguf)

# Training details

Training details and LoRA adapters can be made available if you request it. I am just not sure if anyone is interested in them, so I am not uploading those artifacts yet.

# Future plans

A bit of experimentation on the 4B/500M Danube3 models and then I want to improve my current Yi 34B 200K HESOYAM 0208 model using 4chan archive dataset.