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Kype720184/DorsetHeatwaveLLM2_GGUF-Q8_0 overview

To find the actual README, go here https://huggingface.co/Kype720184/DorsetHeatwaveLLM2 Or for the Q4 K M GGUF, go here https://huggingface.co/Kype720184/Dorse…

ggufqwen3llama.cppunslothollamabase_model:Kype720184/DorsetHeatwaveLLM2base_model:quantized:Kype720184/DorsetHeatwaveLLM2endpoints_compatibleregion:us

Runs locally from ~1.71 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

1 GGUF files detected
Direct downloads for local inference
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qwen3-1.7b-base.Q8_0.ggufGGUFGGUF1.71 GBDownload

Model Details

Model IDKype720184/DorsetHeatwaveLLM2_GGUF-Q8_0
AuthorKype720184
Pipeline
License
Base modelKype720184/DorsetHeatwaveLLM2
Last modified2026-07-20T13:45:46.000Z

Model README

---

tags:

  • gguf
  • llama.cpp
  • unsloth
  • ollama

base_model:

  • Kype720184/DorsetHeatwaveLLM2

---

To find the actual README, go here!

Or for the Q4_K_M GGUF, go here!

Give feedback for DorsetHeatwaveLLM3 here!

Credits (Kype720184 style)

Credits I would like to give:

- JuDDGES: For the en-appealcourt-coded-instruct_v02 dataset under an MIT License (No direct involvement or endorsement)

- Alibaba: For making the Qwen 3 1.7B Base model (No direct involvement or endorsement)

- HuggingFace: For making a brilliant platform for hosting LLMs (No direct involvement or endorsement)

- Unsloth: For repackaging the Qwen 3 1.7B Base model (No direct involvement or endorsement)

- Unsloth: For making the amazing finetuning tool that I used (No direct involvement or endorsement)

- Canonical: For making Ubuntu and Ubuntu Pro, which I use on my main PC as it is my favourite GNU/Linux distro (I know I am nt a GNU purist but it is GNU/Linux, but you can find out about the naming here), except for Snaps (No direct involvement or endorsement)

- NVIDIA: For making the RTX 3060 Ti I have (No direct involvement or endorsement)

- MSI: For being the retailer of the 3060 Ti I have, and they have very nice TORX 3 fans that I have to admit, are exteremely good (No direct involvement or endorsement)

- LACT: For being the absolute best GPU control application, I forgot to credit you in the original (No direct involvement or endorsement)

- Me: For putting all this together into 1 huge model, handling the (now less) heat and the dedication (Direct involvement)

<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>

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