Slush-Sunfall-Rocinante-GGLD-12B

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mergekit-community
Language Model
OTHER
12B params
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Edge AI:
Mobile
Laptop
Server
27GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
12GB+ RAM

Code Examples

Configurationyaml
models:
  - model: IAmTheCollector/MN-Slush-GGLD
  - model: knifeayumu/Rocinante-12B-v1-nemo-sunfall-v0.6.1-SLERP
merge_method: slerp
base_model: IAmTheCollector/MN-Slush-GGLD
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Slush-GGLD for input & output, Rocinante-sunfall in the middle layers
Configurationyaml
models:
  - model: IAmTheCollector/MN-Slush-GGLD
  - model: knifeayumu/Rocinante-12B-v1-nemo-sunfall-v0.6.1-SLERP
merge_method: slerp
base_model: IAmTheCollector/MN-Slush-GGLD
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Slush-GGLD for input & output, Rocinante-sunfall in the middle layers
Configurationyaml
models:
  - model: IAmTheCollector/MN-Slush-GGLD
  - model: knifeayumu/Rocinante-12B-v1-nemo-sunfall-v0.6.1-SLERP
merge_method: slerp
base_model: IAmTheCollector/MN-Slush-GGLD
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Slush-GGLD for input & output, Rocinante-sunfall in the middle layers
Configurationyaml
models:
  - model: IAmTheCollector/MN-Slush-GGLD
  - model: knifeayumu/Rocinante-12B-v1-nemo-sunfall-v0.6.1-SLERP
merge_method: slerp
base_model: IAmTheCollector/MN-Slush-GGLD
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Slush-GGLD for input & output, Rocinante-sunfall in the middle layers
Configurationyaml
models:
  - model: IAmTheCollector/MN-Slush-GGLD
  - model: knifeayumu/Rocinante-12B-v1-nemo-sunfall-v0.6.1-SLERP
merge_method: slerp
base_model: IAmTheCollector/MN-Slush-GGLD
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Slush-GGLD for input & output, Rocinante-sunfall in the middle layers
Configurationyaml
models:
  - model: IAmTheCollector/MN-Slush-GGLD
  - model: knifeayumu/Rocinante-12B-v1-nemo-sunfall-v0.6.1-SLERP
merge_method: slerp
base_model: IAmTheCollector/MN-Slush-GGLD
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Slush-GGLD for input & output, Rocinante-sunfall in the middle layers
Configurationyaml
models:
  - model: IAmTheCollector/MN-Slush-GGLD
  - model: knifeayumu/Rocinante-12B-v1-nemo-sunfall-v0.6.1-SLERP
merge_method: slerp
base_model: IAmTheCollector/MN-Slush-GGLD
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Slush-GGLD for input & output, Rocinante-sunfall in the middle layers
Configurationyaml
models:
  - model: IAmTheCollector/MN-Slush-GGLD
  - model: knifeayumu/Rocinante-12B-v1-nemo-sunfall-v0.6.1-SLERP
merge_method: slerp
base_model: IAmTheCollector/MN-Slush-GGLD
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Slush-GGLD for input & output, Rocinante-sunfall in the middle layers
Configurationyaml
models:
  - model: IAmTheCollector/MN-Slush-GGLD
  - model: knifeayumu/Rocinante-12B-v1-nemo-sunfall-v0.6.1-SLERP
merge_method: slerp
base_model: IAmTheCollector/MN-Slush-GGLD
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Slush-GGLD for input & output, Rocinante-sunfall in the middle layers
Configurationyaml
models:
  - model: IAmTheCollector/MN-Slush-GGLD
  - model: knifeayumu/Rocinante-12B-v1-nemo-sunfall-v0.6.1-SLERP
merge_method: slerp
base_model: IAmTheCollector/MN-Slush-GGLD
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Slush-GGLD for input & output, Rocinante-sunfall in the middle layers
Configurationyaml
models:
  - model: IAmTheCollector/MN-Slush-GGLD
  - model: knifeayumu/Rocinante-12B-v1-nemo-sunfall-v0.6.1-SLERP
merge_method: slerp
base_model: IAmTheCollector/MN-Slush-GGLD
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Slush-GGLD for input & output, Rocinante-sunfall in the middle layers
Configurationyaml
models:
  - model: IAmTheCollector/MN-Slush-GGLD
  - model: knifeayumu/Rocinante-12B-v1-nemo-sunfall-v0.6.1-SLERP
merge_method: slerp
base_model: IAmTheCollector/MN-Slush-GGLD
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Slush-GGLD for input & output, Rocinante-sunfall in the middle layers
Configurationyaml
models:
  - model: IAmTheCollector/MN-Slush-GGLD
  - model: knifeayumu/Rocinante-12B-v1-nemo-sunfall-v0.6.1-SLERP
merge_method: slerp
base_model: IAmTheCollector/MN-Slush-GGLD
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Slush-GGLD for input & output, Rocinante-sunfall in the middle layers
Configurationyaml
models:
  - model: IAmTheCollector/MN-Slush-GGLD
  - model: knifeayumu/Rocinante-12B-v1-nemo-sunfall-v0.6.1-SLERP
merge_method: slerp
base_model: IAmTheCollector/MN-Slush-GGLD
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Slush-GGLD for input & output, Rocinante-sunfall in the middle layers
Configurationyaml
models:
  - model: IAmTheCollector/MN-Slush-GGLD
  - model: knifeayumu/Rocinante-12B-v1-nemo-sunfall-v0.6.1-SLERP
merge_method: slerp
base_model: IAmTheCollector/MN-Slush-GGLD
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Slush-GGLD for input & output, Rocinante-sunfall in the middle layers
Configurationyaml
models:
  - model: IAmTheCollector/MN-Slush-GGLD
  - model: knifeayumu/Rocinante-12B-v1-nemo-sunfall-v0.6.1-SLERP
merge_method: slerp
base_model: IAmTheCollector/MN-Slush-GGLD
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Slush-GGLD for input & output, Rocinante-sunfall in the middle layers
Configurationyaml
models:
  - model: IAmTheCollector/MN-Slush-GGLD
  - model: knifeayumu/Rocinante-12B-v1-nemo-sunfall-v0.6.1-SLERP
merge_method: slerp
base_model: IAmTheCollector/MN-Slush-GGLD
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Slush-GGLD for input & output, Rocinante-sunfall in the middle layers
Configurationyaml
models:
  - model: IAmTheCollector/MN-Slush-GGLD
  - model: knifeayumu/Rocinante-12B-v1-nemo-sunfall-v0.6.1-SLERP
merge_method: slerp
base_model: IAmTheCollector/MN-Slush-GGLD
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Slush-GGLD for input & output, Rocinante-sunfall in the middle layers
Configurationyaml
models:
  - model: IAmTheCollector/MN-Slush-GGLD
  - model: knifeayumu/Rocinante-12B-v1-nemo-sunfall-v0.6.1-SLERP
merge_method: slerp
base_model: IAmTheCollector/MN-Slush-GGLD
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Slush-GGLD for input & output, Rocinante-sunfall in the middle layers
Configurationyaml
models:
  - model: IAmTheCollector/MN-Slush-GGLD
  - model: knifeayumu/Rocinante-12B-v1-nemo-sunfall-v0.6.1-SLERP
merge_method: slerp
base_model: IAmTheCollector/MN-Slush-GGLD
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Slush-GGLD for input & output, Rocinante-sunfall in the middle layers
Configurationyaml
models:
  - model: IAmTheCollector/MN-Slush-GGLD
  - model: knifeayumu/Rocinante-12B-v1-nemo-sunfall-v0.6.1-SLERP
merge_method: slerp
base_model: IAmTheCollector/MN-Slush-GGLD
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Slush-GGLD for input & output, Rocinante-sunfall in the middle layers

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