Mimicore-GreenSnake-22B

1
license:cc-by-nc-4.0
by
DoppelReflEx
Language Model
OTHER
22B params
New
1 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
50GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
21GB+ RAM

Code Examples

Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
  - model: Steelskull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
parameters:
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
  - model: Steelskull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
parameters:
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
  - model: Steelskull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
parameters:
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
  - model: Steelskull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
parameters:
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
  - model: Steelskull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
parameters:
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
  - model: Steelskull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
parameters:
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
  - model: Steelskull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
parameters:
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
  - model: Steelskull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
parameters:
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
  - model: Steelskull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
parameters:
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
  - model: Steelskull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
parameters:
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
  - model: Steelskull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
parameters:
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
  - model: Steelskull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
parameters:
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
  - model: Steelskull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
parameters:
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
  - model: Steelskull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
parameters:
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
  - model: Steelskull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
parameters:
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
  - model: Steelskull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
parameters:
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
  - model: Steelskull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: knifeayumu/Cydonia-v1.2-Magnum-v4-22B
parameters:
  t: [0.1, 0.2, 0.4, 0.6, 0.6, 0.4, 0.2, 0.1]
dtype: bfloat16
tokenizer_source: base

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