funny-nemo-embedding-testing

6
1
—
by
ToastyPigeon
Language Model
OTHER
2203.05482B params
New
6 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
4925GB+ 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
2052GB+ RAM

Code Examples

Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union
Configurationyaml
models:
  - model: magmell+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: tess+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: union

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