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RichardErkhov/Undi95_-_MLewdBoros-L2-13B-gguf
Undi95_-_MLewdBoros-L2-13B-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
139
8% of all-time downloads
All-time downloads
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147 GB
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.gguf171 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
MLewdBoros-L2-13B - GGUF
| Name | Quant method | Size |
|---|---|---|
| MLewdBoros-L2-13B.Q2_K.gguf | Q2_K | 4.52GB |
| MLewdBoros-L2-13B.IQ3_XS.gguf | IQ3_XS | 4.99GB |
| MLewdBoros-L2-13B.IQ3_S.gguf | IQ3_S | 5.27GB |
| MLewdBoros-L2-13B.Q3_K_S.gguf | Q3_K_S | 5.27GB |
| MLewdBoros-L2-13B.IQ3_M.gguf | IQ3_M | 5.57GB |
| MLewdBoros-L2-13B.Q3_K.gguf | Q3_K | 5.9GB |
| MLewdBoros-L2-13B.Q3_K_M.gguf | Q3_K_M | 5.9GB |
| MLewdBoros-L2-13B.Q3_K_L.gguf | Q3_K_L | 6.45GB |
| MLewdBoros-L2-13B.IQ4_XS.gguf | IQ4_XS | 6.54GB |
| MLewdBoros-L2-13B.Q4_0.gguf | Q4_0 | 6.86GB |
| MLewdBoros-L2-13B.IQ4_NL.gguf | IQ4_NL | 6.9GB |
| MLewdBoros-L2-13B.Q4_K_S.gguf | Q4_K_S | 6.91GB |
| MLewdBoros-L2-13B.Q4_K.gguf | Q4_K | 7.33GB |
| MLewdBoros-L2-13B.Q4_K_M.gguf | Q4_K_M | 7.33GB |
| MLewdBoros-L2-13B.Q4_1.gguf | Q4_1 | 7.61GB |
| MLewdBoros-L2-13B.Q5_0.gguf | Q5_0 | 8.36GB |
| MLewdBoros-L2-13B.Q5_K_S.gguf | Q5_K_S | 8.36GB |
| MLewdBoros-L2-13B.Q5_K.gguf | Q5_K | 8.6GB |
| MLewdBoros-L2-13B.Q5_K_M.gguf | Q5_K_M | 8.6GB |
| MLewdBoros-L2-13B.Q5_1.gguf | Q5_1 | 9.1GB |
| MLewdBoros-L2-13B.Q6_K.gguf | Q6_K | 9.95GB |
| MLewdBoros-L2-13B.Q8_0.gguf | Q8_0 | 12.88GB |
license: cc-by-nc-4.0 tags:

THIS MODEL IS MADE FOR LEWD
SEXUAL, CRUDE AND KINKY CONTENT IN OUTPUT CAN AND WILL HAPPEN. YOU'RE WARNED
SuperCOT applied : https://huggingface.co/Undi95/MLewdBoros-L2-13B-SuperCOT
<!-- description start -->This repo contains fp16 files of MLewdBoros, very hot and lewd model based on ReMM and merged with SpicyBoros 2.2.
<!-- description end --> <!-- description start -->Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Response:
Special thanks to Sushi and Shena ♥
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 55.1 |
| ARC (25-shot) | 62.54 |
| HellaSwag (10-shot) | 83.9 |
| MMLU (5-shot) | 56.57 |
| TruthfulQA (0-shot) | 48.14 |
| Winogrande (5-shot) | 76.95 |
| GSM8K (5-shot) | 10.99 |
| DROP (3-shot) | 46.59 |