Plugin for LLM adding support for the GPT4All collection of models.
Install this plugin in the same environment as LLM.
llm install llm-gpt4allAfter installing the plugin you can see a new list of available models like this:
llm models listThe output will include something like this:
gpt4all: orca-mini-3b-gguf2-q4_0 - Mini Orca (Small), 1.84GB download, needs 4GB RAM (installed)
gpt4all: nous-hermes-llama2-13b - Hermes, 6.86GB download, needs 16GB RAM (installed)
gpt4all: all-MiniLM-L6-v2-f16 - SBert, 43.76MB download, needs 1GB RAM
gpt4all: replit-code-v1_5-3b-q4_0 - Replit, 1.74GB download, needs 4GB RAM
gpt4all: mpt-7b-chat-merges-q4_0 - MPT Chat, 3.54GB download, needs 8GB RAM
gpt4all: rift-coder-v0-7b-q4_0 - Rift coder, 3.56GB download, needs 8GB RAM
gpt4all: em_german_mistral_v01 - EM German Mistral, 3.83GB download, needs 8GB RAM
gpt4all: mistral-7b-instruct-v0 - Mistral Instruct, 3.83GB download, needs 8GB RAM
gpt4all: mistral-7b-openorca - Mistral OpenOrca, 3.83GB download, needs 8GB RAM
gpt4all: gpt4all-falcon-q4_0 - GPT4All Falcon, 3.92GB download, needs 8GB RAM
gpt4all: gpt4all-13b-snoozy-q4_0 - Snoozy, 6.86GB download, needs 16GB RAM
gpt4all: wizardlm-13b-v1 - Wizard v1.2, 6.86GB download, needs 16GB RAM
gpt4all: starcoder-q4_0 - Starcoder, 8.37GB download, needs 4GB RAM
Further details on these models can be found in this Observable notebook.
You can execute a model using the name displayed in the llm models list output. The model file will be downloaded the first time you attempt to run it.
llm -m orca-mini-3b-gguf2-q4_0 '3 names for a pet cow'The first time you run this you will see a progress bar:
31%|█████████▋ | 1.16G/3.79G [00:26<01:02, 42.0MiB/s]
On subsequent uses the model output will be displayed immediately.
To chat with a model, avoiding the need to load it into memory for every message, use llm chat:
llm chat -m orca-mini-3b-gguf2-q4_0Chatting with orca-mini-3b-gguf2-q4_0
Type 'exit' or 'quit' to exit
Type '!multi' to enter multiple lines, then '!end' to finish
> hi
Hello! How can I assist you today?
> three jokes about a pelican and a chicken who are friends
Sure, here are three jokes about a pelican and a chicken who are friends:
1. Why did the pelican cross the road? To get to the other side where the chicken was waiting for him!
2. What do you call a group of chickens playing basketball? A flock of feathers!
3. Why did the chicken invite the pelican over for dinner? Because it had nothing else to eat and needed some extra protein in its diet!
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd llm-gpt4all
python3 -m venv venv
source venv/bin/activate
Now install the dependencies and test dependencies:
pip install -e '.[test]'
To run the tests:
pytest