OpenLlaMA 3B V2 finetuned on EverythingLM Data V2 for 2 epochs

Get started with acrastt_marx-3b-v2

The model used in the example below is the Marx-3B-V2 model, with 3b parameters, which is a chat model.

API

1. Start Ollama server (Run ollama serve)
2. Run the model

  curl -X POST http://localhost:11434/api/generate -d '{
    "model": "acrastt_marx-3b-v2:latest",
    "prompt":"Why is the sky blue?"
   }'

CLI

1. Install Ollama
2. Open the terminal and run ollama run acrastt_marx-3b-v2:latest

Note: The ollama run command performs an ollama pull if the model is not already downloaded. To download the model without running it, use ollama pull acrastt_marx-3b-v2:latest

Memory requirements

• 3b models generally require at least 8GB of RAM

If you run into issues with higher quantization levels, try using the q4 model or shut down any other programs that are using a lot of memory.

Model variants

By default, Ollama uses 4-bit quantization. To try other quantization levels, please try the other tags. The number after the q represents the number of bits used for quantization (i.e. q4 means 4-bit quantization). The higher the number, the more accurate the model is, but the slower it runs, and the more memory it requires.

Model source

Marx-3B-V2 source on Ollama

3b parameters source: acrasst