base_model:
- unsloth/Qwen2.5-7B-bnb-4bit
- unsloth/gemma-2-9b-it-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
- gemma2
- trl
license: apache-2.0
language:
- en
datasets:
- Sweaterdog/MindCraft-LLM-tuning
Uploaded model
- Developed by: Sweaterdog
- License: apache-2.0
- Finetuned from model : unsloth/Qwen2.5-7B-bnb-4bit
The MindCraft LLM tuning CSV file can be found here, this can be tweaked as needed. MindCraft-LLM
What is the Purpose?
This model is built and designed to play Minecraft via the extension named "MindCraft" Which allows language models, like the ones provided in the files section, to play Minecraft.
- Why a new model?
- What kind of Dataset was used?
- Why choose Qwen2.5 for the base model?
How to Use
In order to use this model, A, download the GGUF file of the version you want, either a Qwen, or Gemma model, and then the Modelfile, after you download both, in the Modelfile, change the directory of the model, to your model. Here is a simple guide if needed for the rest:
1.Download the .gguf Model u want. For this example it is in the standard Windows "Download" Folder
2.Download the Modelfile
3.Open the Modelfile with / in notepad, or you can rename it to Modelfile.txt, and change the GGUF path, for example, this is my PATH "C:\Users\SweaterDog\OneDrive\Documents\Raw GGUF Files\Hermes-1.0\Hermes-1.Q8_0.gguf"
4.Safe + Close Modelfile
5.Rename "Modelfile.txt" into "Modelfile" if you changed it before-hand
6.Open CMD and type in "ollama create Hermes1 -f Modelfile" (You can change the name to anything you'd like, for this example, I am just using the same name as the GGUF)
7.Wait until finished
8.In the CMD window, type "ollama run Hermes1" (replace the 1 in Hermes with whatever version you downloaded)
I'm aware it does say there are multiple Qwen2.5 files, even though there are two, and it also says there are Gemma2 models, even though there isn't, I am aware and have been trying to train the rest of these models.
This qwen2 and gemma2 model was trained 2x faster with Unsloth and Huggingface's TRL library.