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Undi95_-_Nethena-MLewd-Xwin-23B-gguf
RichardErkhov/Undi95_-_Nethena-MLewd-Xwin-23B-gguf
Undi95_-_Nethena-MLewd-Xwin-23B-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.
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.gguf186 GB · 100%
At a glance
- Access
- Public
- Created
- Sep 2, 2024
- Updated
- Sep 2, 2024
- SHA
- 4ce0c424
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Nethena-MLewd-Xwin-23B - GGUF
- Model creator: https://huggingface.co/Undi95/
- Original model: https://huggingface.co/Undi95/Nethena-MLewd-Xwin-23B/
| Name | Quant method | Size |
|---|---|---|
| Nethena-MLewd-Xwin-23B.Q2_K.gguf | Q2_K | 7.89GB |
| Nethena-MLewd-Xwin-23B.IQ3_XS.gguf | IQ3_XS | 4.94GB |
| Nethena-MLewd-Xwin-23B.IQ3_S.gguf | IQ3_S | 3.35GB |
| Nethena-MLewd-Xwin-23B.Q3_K_S.gguf | Q3_K_S | 9.21GB |
| Nethena-MLewd-Xwin-23B.IQ3_M.gguf | IQ3_M | 3.8GB |
| Nethena-MLewd-Xwin-23B.Q3_K.gguf | Q3_K | 10.33GB |
| Nethena-MLewd-Xwin-23B.Q3_K_M.gguf | Q3_K_M | 10.33GB |
| Nethena-MLewd-Xwin-23B.Q3_K_L.gguf | Q3_K_L | 11.31GB |
| Nethena-MLewd-Xwin-23B.IQ4_XS.gguf | IQ4_XS | 11.43GB |
| Nethena-MLewd-Xwin-23B.Q4_0.gguf | Q4_0 | 10.92GB |
| Nethena-MLewd-Xwin-23B.IQ4_NL.gguf | IQ4_NL | 8.45GB |
| Nethena-MLewd-Xwin-23B.Q4_K_S.gguf | Q4_K_S | 12.09GB |
| Nethena-MLewd-Xwin-23B.Q4_K.gguf | Q4_K | 2.76GB |
| Nethena-MLewd-Xwin-23B.Q4_K_M.gguf | Q4_K_M | 0.33GB |
| Nethena-MLewd-Xwin-23B.Q4_1.gguf | Q4_1 | 2.4GB |
| Nethena-MLewd-Xwin-23B.Q5_0.gguf | Q5_0 | 14.65GB |
| Nethena-MLewd-Xwin-23B.Q5_K_S.gguf | Q5_K_S | 14.65GB |
| Nethena-MLewd-Xwin-23B.Q5_K.gguf | Q5_K | 15.07GB |
| Nethena-MLewd-Xwin-23B.Q5_K_M.gguf | Q5_K_M | 3.65GB |
| Nethena-MLewd-Xwin-23B.Q5_1.gguf | Q5_1 | 15.08GB |
| Nethena-MLewd-Xwin-23B.Q6_K.gguf | Q6_K | 0.0GB |
| Nethena-MLewd-Xwin-23B.Q8_0.gguf | Q8_0 | 0.52GB |
Original model description:
license: cc-by-nc-4.0 tags:
- not-for-all-audiences
- nsfw
Undi doing chemistry again.
Layer of Xwin-Mlewd was added in a different way than I do before, result seem good, but I'm a VRAMlet so I can only run the Q2 at 2k context for now.
Need to see if it really work good or I was just lucky with my prompt.
OG model : NeverSleep/Nethena-13B
Prompt template: Alpaca
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Response:
LimaRP is always kicking in and thus, this can be used to have more control on the size of the output.
Thanks Ikari.
- Created
- Sep 2, 2024
- Updated
- Sep 2, 2024