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--- |
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base_model: intervitens/mini-magnum-12b-v1.1 |
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library_name: transformers |
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quantized_by: InferenceIllusionist |
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tags: |
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- iMat |
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- gguf |
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- Mistral |
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license: apache-2.0 |
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--- |
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<img src="https://i.imgur.com/P68dXux.png" width="400"/> |
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# magnum-12b-v2.5-kto-iMat-GGUF |
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> [!WARNING] |
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><b>Important Note:</b> Inferencing in llama.cpp has now been merged in [PR #8604](https://github.com/ggerganov/llama.cpp/pull/8604). Please ensure you are on release [b3438](https://github.com/ggerganov/llama.cpp/releases/tag/b3438) or newer. Text-generation-web-ui (Ooba) is also working as of 7/23. Kobold.cpp working as of [v1.71](https://github.com/LostRuins/koboldcpp/releases/tag/v1.71). </b> |
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Quantized from magnum-12b-v2.5-kto fp16 |
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* Weighted quantizations were creating using fp16 GGUF and groups_merged.txt in 92 chunks and n_ctx=512 |
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* Static fp16 will also be included in repo |
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* For a brief rundown of iMatrix quant performance please see this [PR](https://github.com/ggerganov/llama.cpp/pull/5747) |
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* <i>All quants are verified working prior to uploading to repo for your safety and convenience</i> |
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<b>KL-Divergence Reference Chart</b> |
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(Click on image to view in full size) |
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[<img src="https://i.imgur.com/mV0nYdA.png" width="920"/>](https://i.imgur.com/mV0nYdA.png) |
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> [!TIP] |
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><b>Quant-specific Tips:</b> |
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>* If you are getting a `cudaMalloc failed: out of memory` error, try passing an argument for lower context in llama.cpp, e.g. for 8k: `-c 8192` |
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>* If you have all ampere generation or newer cards, you can use flash attention like so: `-fa` |
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>* Provided Flash Attention is enabled you can also use quantized cache to save on VRAM e.g. for 8-bit: `-ctk q8_0 -ctv q8_0` |
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Original model card can be found [here](https://huggingface.co/anthracite-org/magnum-12b-v2.5-kto) |
