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Aidneyeue/Undi95_-_Xwin-MLewd-13B-V0.2-gguf
Undi95_-_Xwin-MLewd-13B-V0.2-gguf is a machine learning model from Aidneyeue. 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
93
16% of all-time downloads
All-time downloads
598
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Repo size
147 GB
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.gguf171 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
Xwin-MLewd-13B-V0.2 - GGUF
| Name | Quant method | Size |
|---|---|---|
| Xwin-MLewd-13B-V0.2.Q2_K.gguf | Q2_K | 4.52GB |
| Xwin-MLewd-13B-V0.2.IQ3_XS.gguf | IQ3_XS | 4.99GB |
| Xwin-MLewd-13B-V0.2.IQ3_S.gguf | IQ3_S | 5.27GB |
| Xwin-MLewd-13B-V0.2.Q3_K_S.gguf | Q3_K_S | 5.27GB |
| Xwin-MLewd-13B-V0.2.IQ3_M.gguf | IQ3_M | 5.57GB |
| Xwin-MLewd-13B-V0.2.Q3_K.gguf | Q3_K | 5.9GB |
| Xwin-MLewd-13B-V0.2.Q3_K_M.gguf | Q3_K_M | 5.9GB |
| Xwin-MLewd-13B-V0.2.Q3_K_L.gguf | Q3_K_L | 6.45GB |
| Xwin-MLewd-13B-V0.2.IQ4_XS.gguf | IQ4_XS | 6.54GB |
| Xwin-MLewd-13B-V0.2.Q4_0.gguf | Q4_0 | 6.86GB |
| Xwin-MLewd-13B-V0.2.IQ4_NL.gguf | IQ4_NL | 6.9GB |
| Xwin-MLewd-13B-V0.2.Q4_K_S.gguf | Q4_K_S | 6.91GB |
| Xwin-MLewd-13B-V0.2.Q4_K.gguf | Q4_K | 7.33GB |
| Xwin-MLewd-13B-V0.2.Q4_K_M.gguf | Q4_K_M | 7.33GB |
| Xwin-MLewd-13B-V0.2.Q4_1.gguf | Q4_1 | 7.61GB |
| Xwin-MLewd-13B-V0.2.Q5_0.gguf | Q5_0 | 8.36GB |
| Xwin-MLewd-13B-V0.2.Q5_K_S.gguf | Q5_K_S | 8.36GB |
| Xwin-MLewd-13B-V0.2.Q5_K.gguf | Q5_K | 8.6GB |
| Xwin-MLewd-13B-V0.2.Q5_K_M.gguf | Q5_K_M | 8.6GB |
| Xwin-MLewd-13B-V0.2.Q5_1.gguf | Q5_1 | 9.1GB |
| Xwin-MLewd-13B-V0.2.Q6_K.gguf | Q6_K | 9.95GB |
| Xwin-MLewd-13B-V0.2.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
This is MLewd merged with Xwin-LM/Xwin-LM-13B-V0.2
<!-- description start -->This repo contains fp16 files of Xwin-MLewd-13B-V0.2, very hot and lewd model based on Xwin 0.2 13B.
<!-- description end --> <!-- description start -->Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Response:
slices:
- sources:
- model: Xwin-LM/Xwin-LM-13B-V0.2
layer_range: [0, 40]
- model: Undi95/MLewd-v2.4-13B
layer_range: [0, 40]
merge_method: slerp
base_model: Xwin-LM/Xwin-LM-13B-V0.2
parameters:
t:
- filter: lm_head
value: [0.55]
- filter: embed_tokens
value: [0.7]
- filter: self_attn
value: [0.65, 0.35]
- filter: mlp
value: [0.35, 0.65]
- filter: layernorm
value: [0.4, 0.6]
- filter: modelnorm
value: [0.6]
- value: 0.5 # fallback for rest of tensors
dtype: float16
Special thanks to Sushi and Shena ♥
If you want to support me, you can here.