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--- |
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license: other |
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license_name: yi-license |
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license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE |
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tags: |
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- merge |
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- GGUF |
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- imatrix |
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- 2bit |
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--- |
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# Kyllene-57B |
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[Kyllene-57B](/TeeZee/Kyllene-57B-v1.0) quantized to 2~3 bpw [GGUF](/TeeZee/Kyllene-57B-v1.0-GGUF/blob/main/Kyllene-57B-v1.0.q6_K.gguf)-GGUF |
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### Please ❤️like❤️/📧comment📧/💌mail me some anthrax spores💌 if you use these! The download ticker won't work on a repo like this, so there's no feedback. I'm not wasting my time, right? |
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#### NOTICE: I did not use the original file! I started with Q6_K (there was no Q8 and more precision for this would be absurd). There may well be problems with these quants but I'll eat my own entire ass if a 57B Q6_K (>6.5bpw) is the root of any of them. More suspect is how I produced the imatrix. |
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[imatrix included.](./Kyllene-57B-v1.0.q6_K.gguf.imatrix) generated from [a 900k text file, also included](./techmulcodetiny.utf8) |
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this file was made by concatenating most of the [default exllamav2 calibration data](https://github.com/turboderp/exllamav2/tree/master/conversion/standard_cal_data). a 900kb file of coherent text only, with some formatting and code but no endless broken html tags or nonsense. includes multilingual, for those deep layers. |
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artefact produced from: |
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``` |
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$ cd exllamav2/conversion/standard_cal_data |
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$ cat technical.utf8 multilingual.utf8 code.utf8 tiny.utf8 > techmulcodetiny.utf8 |
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``` |
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where: [exllamav2/conversion/standard_cal_data](https://github.com/turboderp/exllamav2/tree/master/conversion/standard_cal_data) and [techmulcodetiny.utf8](./techmulcodetiny.utf8) produce a file that is used by imatrix for 560~ "chunks" |
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imatrix run with default sampling settings besides the dataset (i think? i increased the batch number and reduced the batch size so i could cram on more layers but the generation should have been the same in the end) |
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(someone tell me why I was wrong to run imatrix with -cb continuous batching. shame me.) |
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# Downloads (eventually) |
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under consideration: |
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- Q2_K_S (imat only but I think compatible with older things. I'm not very sure what this is. ) |
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- Q2_K (should be strictly better than [the original](/TeeZee/Kyllene-57B-v1.0-GGUF/blob/main/Kyllene-57B-v1.0.q2_K.gguf) but this may be where my --allow-requantize comes to bite me, we'll see) |
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```upload in progress: (probably done by now)``` |
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[IQ2_XS](./Kyllene-57B-v1.0.IQ2_XS.gguf/) 2.38 BPW `CUDA0 buffer size = 15941.43 MiB` |
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- This file only exists because I did the maths wrong (I was expecting it to be bigger), but I recall that 16GB GPUs exist and I may give it a go with stable diffusion |
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```upload scheduled in order: (big gpuboys just have to wait)``` |
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[IQ2_M](./Kyllene-57B-v1.0.IQ2_M.gguf/) 2.7 BPW |
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- briefly existed before I [clobbered](http://catb.org/jargon/html/C/clobber.html) _(verb, transitory)_ it. It ~might~ will be back. |
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[IQ3_XXS](./Kyllene-57B-v1.0.IQ3_XXS.gguf/) 3.0<`size`<3.1 BPW |
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- 3090 enjoyers and their friends may want to run this with -nkvo and -ngl 100 ( no K/V offload 100 layers in koboldcpp). There are 101 layers and the last one becomes distressed if separated from its K/V cache. Invariably chokes your PCIe lanes to death as a survival mechanism. Nature is beautiful. |
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