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Elfrino_-_PsychoPomp-20B-gguf
RichardErkhov/Elfrino_-_PsychoPomp-20B-gguf
Elfrino_-_PsychoPomp-20B-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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Repo size
226 GB
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.gguf262 GB · 100%
At a glance
- Access
- Public
- Created
- Oct 7, 2024
- Updated
- Oct 7, 2024
- SHA
- c4aa2ba5
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
PsychoPomp-20B - GGUF
- Model creator: https://huggingface.co/Elfrino/
- Original model: https://huggingface.co/Elfrino/PsychoPomp-20B/
| Name | Quant method | Size |
|---|---|---|
| PsychoPomp-20B.Q2_K.gguf | Q2_K | 6.91GB |
| PsychoPomp-20B.IQ3_XS.gguf | IQ3_XS | 7.63GB |
| PsychoPomp-20B.IQ3_S.gguf | IQ3_S | 8.06GB |
| PsychoPomp-20B.Q3_K_S.gguf | Q3_K_S | 8.06GB |
| PsychoPomp-20B.IQ3_M.gguf | IQ3_M | 8.53GB |
| PsychoPomp-20B.Q3_K.gguf | Q3_K | 9.04GB |
| PsychoPomp-20B.Q3_K_M.gguf | Q3_K_M | 9.04GB |
| PsychoPomp-20B.Q3_K_L.gguf | Q3_K_L | 9.9GB |
| PsychoPomp-20B.IQ4_XS.gguf | IQ4_XS | 10.01GB |
| PsychoPomp-20B.Q4_0.gguf | Q4_0 | 10.52GB |
| PsychoPomp-20B.IQ4_NL.gguf | IQ4_NL | 10.57GB |
| PsychoPomp-20B.Q4_K_S.gguf | Q4_K_S | 10.59GB |
| PsychoPomp-20B.Q4_K.gguf | Q4_K | 11.22GB |
| PsychoPomp-20B.Q4_K_M.gguf | Q4_K_M | 11.22GB |
| PsychoPomp-20B.Q4_1.gguf | Q4_1 | 11.67GB |
| PsychoPomp-20B.Q5_0.gguf | Q5_0 | 12.83GB |
| PsychoPomp-20B.Q5_K_S.gguf | Q5_K_S | 12.83GB |
| PsychoPomp-20B.Q5_K.gguf | Q5_K | 13.18GB |
| PsychoPomp-20B.Q5_K_M.gguf | Q5_K_M | 13.18GB |
| PsychoPomp-20B.Q5_1.gguf | Q5_1 | 13.98GB |
| PsychoPomp-20B.Q6_K.gguf | Q6_K | 15.28GB |
| PsychoPomp-20B.Q8_0.gguf | Q8_0 | 19.79GB |
Original model description:
base_model:
- Elfrino/XwinXtended-20B
- Undi95/MXLewd-L2-20B library_name: transformers tags:
- mergekit
- merge
A merge between an ol' fav: Undi95/MXLewd-L2-20B
and:
An extended XwinLM: Elfrino/XwinXtended-20B
*NOTE: FIRST Merge of XwinXtended and another 20B that finally works and isn't drunk. And it's rather pretty good and coherent, still testing...
######################################################################################################################
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: Undi95/MXLewd-L2-20B
layer_range: [0, 62]
- model: Elfrino/XwinXtended-20B
layer_range: [0, 62]
merge_method: slerp
base_model: Undi95/MXLewd-L2-20B
parameters:
t:
- filter: self_attn
value: [0.8, 0.8, 0.9, 0.7, .8]
- filter: mlp
value: [.8, 0.8, 0.9, 0.8, .7]
- value: 0.2
dtype: bfloat16
- Created
- Oct 7, 2024
- Updated
- Oct 7, 2024