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RichardErkhov/appvoid_-_arco-augment-3-gguf
appvoid_-_arco-augment-3-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
15
4% of all-time downloads
All-time downloads
396
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Repo size
7.8 GB
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.gguf9 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
arco-augment-3 - GGUF
| Name | Quant method | Size |
|---|---|---|
| arco-augment-3.Q2_K.gguf | Q2_K | 0.25GB |
| arco-augment-3.IQ3_XS.gguf | IQ3_XS | 0.27GB |
| arco-augment-3.IQ3_S.gguf | IQ3_S | 0.29GB |
| arco-augment-3.Q3_K_S.gguf | Q3_K_S | 0.29GB |
| arco-augment-3.IQ3_M.gguf | IQ3_M | 0.3GB |
| arco-augment-3.Q3_K.gguf | Q3_K | 0.31GB |
| arco-augment-3.Q3_K_M.gguf | Q3_K_M | 0.31GB |
| arco-augment-3.Q3_K_L.gguf | Q3_K_L | 0.34GB |
| arco-augment-3.IQ4_XS.gguf | IQ4_XS | 0.35GB |
| arco-augment-3.Q4_0.gguf | Q4_0 | 0.36GB |
| arco-augment-3.IQ4_NL.gguf | IQ4_NL | 0.36GB |
| arco-augment-3.Q4_K_S.gguf | Q4_K_S | 0.37GB |
| arco-augment-3.Q4_K.gguf | Q4_K | 0.38GB |
| arco-augment-3.Q4_K_M.gguf | Q4_K_M | 0.38GB |
| arco-augment-3.Q4_1.gguf | Q4_1 | 0.4GB |
| arco-augment-3.Q5_0.gguf | Q5_0 | 0.44GB |
| arco-augment-3.Q5_K_S.gguf | Q5_K_S | 0.44GB |
| arco-augment-3.Q5_K.gguf | Q5_K | 0.44GB |
| arco-augment-3.Q5_K_M.gguf | Q5_K_M | 0.44GB |
| arco-augment-3.Q5_1.gguf | Q5_1 | 0.47GB |
| arco-augment-3.Q6_K.gguf | Q6_K | 0.51GB |
| arco-augment-3.Q8_0.gguf | Q8_0 | 0.66GB |
base_model:
This is a merge of pre-trained language models created using mergekit.
This model was merged using the passthrough merge method.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: appvoid/arco
layer_range: [0, 16]
- sources:
- model: appvoid/arco-2
layer_range: [10, 16]
merge_method: passthrough
dtype: float16