MS-Nudion-22B

2
1
—
by
djuna
Language Model
OTHER
22B params
New
2 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
50GB+ RAM
Mobile
Laptop
Server
Quick Summary

This is a merge of pre-trained language models created using mergekit.

Device Compatibility

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

Code Examples

Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
Configurationyaml
models:
  - model: knifeayumu/Cydonia-v1.3-Magnum-v4-22B
  - model: SteelSkull/MSM-MS-Cydrion-22B
merge_method: slerp
base_model: SteelSkull/MSM-MS-Cydrion-22B
dtype: bfloat16
parameters:
  t: [0.030, 0.056, 0.093, 0.144, 0.224, 0.312, 0.409, 0.525, 0.614, 0.589, 0.559, 0.521, 0.437, 0.339, 0.230] # V shaped curve: Hermes for input & output, WizardMath in the middle layers

Deploy This Model

Production-ready deployment in minutes

Together.ai

Instant API access to this model

Fastest API

Production-ready inference API. Start free, scale to millions.

Try Free API

Replicate

One-click model deployment

Easiest Setup

Run models in the cloud with simple API. No DevOps required.

Deploy Now

Disclosure: We may earn a commission from these partners. This helps keep LLMYourWay free.