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# discollama
`discollama` is a Discord bot powered by a local large language model backed by [Ollama](https://github.com/jmorganca/ollama) with memory backed by [Redislite](https://github.com/yahoo/redislite).
## Dependencies
```
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_Note: You must setup a [Discord Bot](https://discord.com/developers/applications) and set environment variable `DISCORD_TOKEN` before `discollama.py` can access Discord._
`discollama.py` requires an [Ollama](https://github.com/jmorganca/ollama) server. By default, it uses `127.0.0.1:11434` but this can be configured with command line parameters `--ollama-host` and `--ollama-port`.
`discollama.py` requires an [Ollama](https://github.com/jmorganca/ollama) server. Follow the steps in the [Ollama](https://github.com/jmorganca/ollama) repository to setup Ollama.
The default LLM is `llama2` but this can be configured with `--ollama-model`. A custom personality can be created by changing the `SYSTEM` instruction in the Modelfile and running `ollama create discollama -f Modelfile`. It can be referenced in `discollama.py` with `--ollama-model discollama`, e.g. `poetry run python discollama.py --ollama-model discollama`.
By default, it uses `127.0.0.1:11434` but this can be configured with command line parameters `--ollama-host` and `--ollama-port`.
## Customize `discollama.py`
The default LLM is `llama2`. A custom personality can be added by changing the `SYSTEM` instruction in the Modelfile and running `ollama create`:
```
ollama create discollama -f Modelfile
```
This is set in `discollama.py` through `--ollama-model`:
```
poetry run python discollama.py --ollama-model discollama
```
Additional LLM parameters can be set in the same Modelfile through `PARAMETER` instructions:
```
FROM llama2
PARAMETER temperature 2
PARAMETER stop [INST]
PARAMETER stop [/INST]
PARAMETER stop <<SYS>>
PARAMETER stop <</SYS>>
```
If customizing the system prompt is not enough, you can configure the full prompt template:
```
FROM llama2
TEMPLATE """[INST] {{ if .First }}<<SYS>>{{ .System }}<</SYS>>
{{ end }} Tweet: 'I hate it when my phone battery dies.' [/INST] Sentiment: Negative </s><s>[INST] Tweet: 'My day has been 👍' [/INST] Sentiment: Positive </s><s> [INST] Tweet: 'This is the link to the article' [/INST] Sentiment: Neutral </s><s> [INST] Tweet: '{{ .Prompt }}' [/INST] Sentiment: """
```
This model replies with the sentiment of the the input prompt: positive, negative, or neutral.