funny-nemo-embed-testing-3

9
—
by
ToastyPigeon
Language Model
OTHER
2203.05482B params
New
9 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
4925GB+ RAM
Mobile
Laptop
Server
Quick Summary

A creative writing model based on Mistral Nemo 12B to support co-writing and other related longform writing tasks.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
2052GB+ RAM

Code Examples

Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B
Configurationyaml
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1+ToastyPigeon/nemo-kimi-lora
    parameters:
      weight: 0.5
  - model: migtissera/Tess-3-Mistral-Nemo-12B+ToastyPigeon/nemo-books-lora
    parameters:
      weight: 0.5
merge_method: linear 
dtype: bfloat16
tokenizer_source: migtissera/Tess-3-Mistral-Nemo-12B

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