Instructions to use Kype720184/DorsetHeatwaveLLM2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Kype720184/DorsetHeatwaveLLM2 with PEFT:
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- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Update README.md
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README.md
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# **Some nice questions to ask, maybe nobody cares:**
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Note: "I" and "Me" in this secrtion refer to *you*, and "You" refers to *me*. This note only applies for these questions in the Q, not in the answers, otherwise known in a bullet point starting with A below the question starting with Q next to a number.
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Q1: Is this software Free or Nonfree?
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- A1: Same as DorsetHeatwaveLLM. It is Nonfree because the Free Software Foundation states that *"All software included in a free ML application has to offer every user the four freedoms that define free software. This applies to both the software that processes training data, and the software that interprets model parameters as context for prompts to produce human-usable output. This is necessary but not sufficient."*, and as this model is based on Qwen 3 1.7B, which has only Open Weights under Apache 2.0, this model is legitimately Nonfree.
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# **Some nice questions to ask, maybe nobody cares:**
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Note: "I" and "Me" in this secrtion refer to *you*, and "You" refers to *me*. This note only applies for these questions in the Q, not in the answers, otherwise known in a bullet point starting with A below the question starting with Q next to a number.
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Q1: Is this software Free or Nonfree?
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- A1: Same as DorsetHeatwaveLLM. It is Nonfree because the Free Software Foundation states that *"All software included in a free ML application has to offer every user the four freedoms that define free software. This applies to both the software that processes training data, and the software that interprets model parameters as context for prompts to produce human-usable output. This is necessary but not sufficient."*, and as this model is based on Qwen 3 1.7B, which has only Open Weights under Apache 2.0, this model is legitimately Nonfree.
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