DoublePotato-Mistral-Nemo-13B

1
1
—
by
nbeerbower
Language Model
OTHER
13B params
New
1 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
30GB+ 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
13GB+ RAM

Code Examples

Configurationyaml
slices:
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [0, 26]
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [27, 33]
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [27, 33]
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [34, 40]
            
merge_method: passthrough
dtype: bfloat16
Configurationyaml
slices:
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [0, 26]
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [27, 33]
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [27, 33]
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [34, 40]
            
merge_method: passthrough
dtype: bfloat16
Configurationyaml
slices:
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [0, 26]
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [27, 33]
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [27, 33]
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [34, 40]
            
merge_method: passthrough
dtype: bfloat16
Configurationyaml
slices:
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [0, 26]
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [27, 33]
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [27, 33]
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [34, 40]
            
merge_method: passthrough
dtype: bfloat16
Configurationyaml
slices:
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [0, 26]
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [27, 33]
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [27, 33]
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [34, 40]
            
merge_method: passthrough
dtype: bfloat16
Configurationyaml
slices:
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [0, 26]
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [27, 33]
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [27, 33]
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [34, 40]
            
merge_method: passthrough
dtype: bfloat16
Configurationyaml
slices:
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [0, 26]
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [27, 33]
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [27, 33]
  - sources:
      - model: nbeerbower/mistral-nemo-kartoffel-12B
        layer_range: [34, 40]
            
merge_method: passthrough
dtype: bfloat16

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