openhands-Nemotron-32B-karcher-300

1
—
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mergekit-community
Language Model
OTHER
32B params
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Early-stage
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Edge AI:
Mobile
Laptop
Server
72GB+ 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
30GB+ RAM

Code Examples

Configurationyaml
models:
  - model: nvidia/OpenMath-Nemotron-32B
  - model: all-hands/openhands-lm-32b-v0.1
merge_method: karcher
parameters:
  max_iter: 300
dtype: bfloat16
Configurationyaml
models:
  - model: nvidia/OpenMath-Nemotron-32B
  - model: all-hands/openhands-lm-32b-v0.1
merge_method: karcher
parameters:
  max_iter: 300
dtype: bfloat16
Configurationyaml
models:
  - model: nvidia/OpenMath-Nemotron-32B
  - model: all-hands/openhands-lm-32b-v0.1
merge_method: karcher
parameters:
  max_iter: 300
dtype: bfloat16
Configurationyaml
models:
  - model: nvidia/OpenMath-Nemotron-32B
  - model: all-hands/openhands-lm-32b-v0.1
merge_method: karcher
parameters:
  max_iter: 300
dtype: bfloat16
Configurationyaml
models:
  - model: nvidia/OpenMath-Nemotron-32B
  - model: all-hands/openhands-lm-32b-v0.1
merge_method: karcher
parameters:
  max_iter: 300
dtype: bfloat16
Configurationyaml
models:
  - model: nvidia/OpenMath-Nemotron-32B
  - model: all-hands/openhands-lm-32b-v0.1
merge_method: karcher
parameters:
  max_iter: 300
dtype: bfloat16
Configurationyaml
models:
  - model: nvidia/OpenMath-Nemotron-32B
  - model: all-hands/openhands-lm-32b-v0.1
merge_method: karcher
parameters:
  max_iter: 300
dtype: bfloat16
Configurationyaml
models:
  - model: nvidia/OpenMath-Nemotron-32B
  - model: all-hands/openhands-lm-32b-v0.1
merge_method: karcher
parameters:
  max_iter: 300
dtype: bfloat16
Configurationyaml
models:
  - model: nvidia/OpenMath-Nemotron-32B
  - model: all-hands/openhands-lm-32b-v0.1
merge_method: karcher
parameters:
  max_iter: 300
dtype: bfloat16

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