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allknowingroger_-_Platapus-Orca-13B-gguf
RichardErkhov/allknowingroger_-_Platapus-Orca-13B-gguf
allknowingroger_-_Platapus-Orca-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.
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.gguf171 GB · 100%
At a glance
- Access
- Public
- Created
- Aug 9, 2024
- Updated
- Aug 9, 2024
- SHA
- 368c19f3
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Platapus-Orca-13B - GGUF
- Model creator: https://huggingface.co/allknowingroger/
- Original model: https://huggingface.co/allknowingroger/Platapus-Orca-13B/
| Name | Quant method | Size |
|---|---|---|
| Platapus-Orca-13B.Q2_K.gguf | Q2_K | 4.52GB |
| Platapus-Orca-13B.IQ3_XS.gguf | IQ3_XS | 4.99GB |
| Platapus-Orca-13B.IQ3_S.gguf | IQ3_S | 5.27GB |
| Platapus-Orca-13B.Q3_K_S.gguf | Q3_K_S | 5.27GB |
| Platapus-Orca-13B.IQ3_M.gguf | IQ3_M | 5.57GB |
| Platapus-Orca-13B.Q3_K.gguf | Q3_K | 5.9GB |
| Platapus-Orca-13B.Q3_K_M.gguf | Q3_K_M | 5.9GB |
| Platapus-Orca-13B.Q3_K_L.gguf | Q3_K_L | 6.45GB |
| Platapus-Orca-13B.IQ4_XS.gguf | IQ4_XS | 6.54GB |
| Platapus-Orca-13B.Q4_0.gguf | Q4_0 | 6.86GB |
| Platapus-Orca-13B.IQ4_NL.gguf | IQ4_NL | 6.9GB |
| Platapus-Orca-13B.Q4_K_S.gguf | Q4_K_S | 6.91GB |
| Platapus-Orca-13B.Q4_K.gguf | Q4_K | 7.33GB |
| Platapus-Orca-13B.Q4_K_M.gguf | Q4_K_M | 7.33GB |
| Platapus-Orca-13B.Q4_1.gguf | Q4_1 | 7.61GB |
| Platapus-Orca-13B.Q5_0.gguf | Q5_0 | 8.36GB |
| Platapus-Orca-13B.Q5_K_S.gguf | Q5_K_S | 8.36GB |
| Platapus-Orca-13B.Q5_K.gguf | Q5_K | 8.6GB |
| Platapus-Orca-13B.Q5_K_M.gguf | Q5_K_M | 8.6GB |
| Platapus-Orca-13B.Q5_1.gguf | Q5_1 | 9.1GB |
| Platapus-Orca-13B.Q6_K.gguf | Q6_K | 9.95GB |
| Platapus-Orca-13B.Q8_0.gguf | Q8_0 | 12.88GB |
Original model description:
base_model:
- garage-bAInd/Platypus2-13B
- psmathur/orca_mini_v3_13b library_name: transformers tags:
- mergekit
- merge license: apache-2.0
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: psmathur/orca_mini_v3_13b
layer_range: [0, 40]
- model: garage-bAInd/Platypus2-13B
layer_range: [0, 40]
# or, the equivalent models: syntax:
# models:
# - model: psmathur/orca_mini_v3_13b
# - model: garage-bAInd/Platypus2-13B
merge_method: slerp
base_model: psmathur/orca_mini_v3_13b
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5 # fallback for rest of tensors
dtype: float16
- Created
- Aug 9, 2024
- Updated
- Aug 9, 2024