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--- |
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license: cc-by-nc-4.0 |
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tags: |
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- GGUF |
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- iMat |
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- llama3 |
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--- |
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``` |
|
e88 88e d8 |
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d888 888b 8888 8888 ,"Y88b 888 8e d88 |
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C8888 8888D 8888 8888 "8" 888 888 88b d88888 |
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Y888 888P Y888 888P ,ee 888 888 888 888 |
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"88 88" "88 88" "88 888 888 888 888 |
|
b |
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8b, |
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|
|
e88'Y88 d8 888 |
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d888 'Y ,"Y88b 888,8, d88 ,e e, 888 |
|
C8888 "8" 888 888 " d88888 d88 88b 888 |
|
Y888 ,d ,ee 888 888 888 888 , 888 |
|
"88,d88 "88 888 888 888 "YeeP" 888 |
|
|
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PROUDLY PRESENTS |
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``` |
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## Llama-3-8B-Instruct-DADA-iMat-GGUF |
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Quantized from fp16 with love. |
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* Weighted quanitzations were calculated using groups_merged.txt with 105 chunks (recommended amount for this file) and n_ctx=512. Special thanks to jukofyork for sharing [this process](https://huggingface.co/jukofyork/WizardLM-2-8x22B-imatrix) |
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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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<b>All quants are verified working prior to uploading to repo for your safety and convenience. </b> |
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Please note importance matrix quantizations are a work in progress. IQ4 and above is recommended for best results. |
