BramVanroy
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README.md
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---
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license: cc-by-nc-4.0
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language:
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- nl
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tags:
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- gguf
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- llamacpp
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- dpo
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- geitje
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- conversational
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datasets:
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- BramVanroy/ultra_feedback_dutch
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---
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<img src="https://huggingface.co/BramVanroy/GEITje-7B-ultra/resolve/main/geitje-ultra-banner.png" alt="GEITje Ultra banner" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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# GEITje 7B ultra (GGUF version)
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This is a `Q5_K_M` GGUF version of [BramVanroy/GEITje-7B-ultra](https://huggingface.co/BramVanroy/GEITje-7B-ultra). For more information on the model, data, licensing, usage, see the main model's README.
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## Repro
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Assuming you have installed and build llama cpp, current working directory is the `build` directory in llamacpp.
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Download initial model (probaby a huggingface-cli alternative exists, too...)
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```python
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from huggingface_hub import snapshot_download
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model_id = "BramVanroy/GEITje-7B-ultra"
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snapshot_download(repo_id=model_id, local_dir="geitje-ultra-hf", local_dir_use_symlinks=False)
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```
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Convert to GGML format
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```shell
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# Convert to GGML format
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python convert.py build/geitje-ultra-hf/
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cd build
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# Quantize to Q5_K_M
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bin/quantize geitje-ultra-hf/ggml-model-f32.gguf geitje-ultra-hf/GEITje-7B-ultra-Q5_K_M.gguf Q5_K_M
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```
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