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--- |
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base_model: unsloth/Qwen2.5-7B-bnb-4bit |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- qwen2 |
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- trl |
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license: apache-2.0 |
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language: |
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- en |
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--- |
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# Uploaded model |
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- **Developed by:** Sweaterdog |
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- **License:** apache-2.0 |
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- **Finetuned from model :** unsloth/Qwen2.5-7B-bnb-4bit |
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The MindCraft LLM tuning CSV file can be found here, this can be tweaked as needed. [MindCraft-LLM](https://huggingface.co/datasets/Sweaterdog/MindCraft-LLM-tuning/raw/main/Gemini-Minecraft%20-%20training_data_minecraft_updated.csv) |
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# What is the Purpose? |
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This model is built and designed to play Minecraft via the extension named "[MindCraft](https://github.com/kolbytn/mindcraft)" Which allows language models, like the ones provided in the files section, to play Minecraft. |
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- Why a new model? |
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# |
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While, yes, models that aren't fine tuned to play Minecraft *Can* play Minecraft, most are slow, innaccurate, and not as smart, in the fine tuning, it expands reasoning, conversation examples, and command (tool) usage. |
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- What kind of Dataset was used? |
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# |
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I'm deeming this model *"Hermes"*, it was trained for reasoning by using examples of in-game "Vision" as well as examples of spacial reasoning, for expanding thinking, I also added puzzle examples where the model broke down the process step by step to reach the goal. |
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- Why choose Qwen2.5 for the base model? |
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During testing, to find the best local LLM for playing Minecraft, I came across two, Gemma 2, and Qwen2.5, these two were by far the best at playing Minecraft before fine-tuning, and I knew, once tuned, it would become better. |
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Here is the link to the Google Colab notebook for fine tuning your own model, in case you want to use a different one, such as Llama-3-8b, or if you want to change the hyperparameters |
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[Google Colab](https://colab.research.google.com/drive/1ZoP7vO50kQrtHoQ54EI6URnoWzIJUg-c?usp=sharing) |
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# |
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This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
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