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@ -61,27 +61,9 @@ The key distinction is that this isn't just a chatbot—it's an automated resear
Install Ollama following the instructions at [https://ollama.ai](https://ollama.ai).
Using your selected model file, create a custom model variant with the required context length (`phi3:3.8b-mini-128k-instruct` or `phi3:14b-medium-128k-instruct` are recommended).
Using your selected model, reccommended to pick one with the required context length for lots of searches (`phi3:3.8b-mini-128k-instruct` or `phi3:14b-medium-128k-instruct` are recommended).
Create a file named `modelfile` with the following exact contents:
```
FROM your-model-name
PARAMETER num_ctx 38000
```
Replace "your-model-name" with your chosen model (e.g., `phi3:3.8b-mini-128k-instruct`).
Then create the model:
```sh
ollama create research-phi3 -f modelfile
```
**Note:** This specific configuration is necessary as recent Ollama versions have reduced context windows on models like `phi3:3.8b-mini-128k-instruct` despite the name suggesting high context, which is why the `modelfile` step is necessary due to the large amount of information used during the research process.
5. Go to the llm_config.py file which should hav an ollama section that looks like this:
5. Go to the llm_config.py file which should have an ollama section that looks like this:
```sh
LLM_CONFIG_OLLAMA = {
@ -91,11 +73,10 @@ LLM_CONFIG_OLLAMA = {
"temperature": 0.7,
"top_p": 0.9,
"n_ctx": 55000,
"context_length": 55000,
"stop": ["User:", "\n\n"]
```
Then change to the left of where it says replace with your Ollama model name, the "model_name" function, to the name of the model you have setup in Ollama to use with the program.
Then change to the left of where it says replace with your Ollama model name, the "model_name" function, to the name of the model you have setup in Ollama to use with the program, you can now also change 'n_ctx' to set the desired context size.
## Usage