Darkest-muse-v1-GGUF

395
7
9.0B
license:apache-2.0
by
QuantFactory
Other
OTHER
9B params
New
395 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
21GB+ RAM
Mobile
Laptop
Server
Quick Summary

QuantFactory/Darkest-muse-v1-GGUF This is quantized version of sam-paech/Darkest-muse-v1 created using llama.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
9GB+ RAM

Code Examples

🧩 Configurationyaml
models:
  - model: lemon07r/Gemma-2-Ataraxy-v2-9B
    # No parameters necessary for base model
  - model: sam-paech/Quill-v1
    parameters:
      density: 0.53
      weight: 0.5
  - model: sam-paech/sam-paech/Delirium-v1
    parameters:
      density: 0.53
      weight: 0.4
merge_method: dare_ties
base_model: lemon07r/Gemma-2-Ataraxy-v2-9B
parameters:
  int8_mask: true
dtype: bfloat16
🧩 Configurationyaml
models:
  - model: lemon07r/Gemma-2-Ataraxy-v2-9B
    # No parameters necessary for base model
  - model: sam-paech/Quill-v1
    parameters:
      density: 0.53
      weight: 0.5
  - model: sam-paech/sam-paech/Delirium-v1
    parameters:
      density: 0.53
      weight: 0.4
merge_method: dare_ties
base_model: lemon07r/Gemma-2-Ataraxy-v2-9B
parameters:
  int8_mask: true
dtype: bfloat16
🧩 Configurationyaml
models:
  - model: lemon07r/Gemma-2-Ataraxy-v2-9B
    # No parameters necessary for base model
  - model: sam-paech/Quill-v1
    parameters:
      density: 0.53
      weight: 0.5
  - model: sam-paech/sam-paech/Delirium-v1
    parameters:
      density: 0.53
      weight: 0.4
merge_method: dare_ties
base_model: lemon07r/Gemma-2-Ataraxy-v2-9B
parameters:
  int8_mask: true
dtype: bfloat16
🧩 Configurationyaml
models:
  - model: lemon07r/Gemma-2-Ataraxy-v2-9B
    # No parameters necessary for base model
  - model: sam-paech/Quill-v1
    parameters:
      density: 0.53
      weight: 0.5
  - model: sam-paech/sam-paech/Delirium-v1
    parameters:
      density: 0.53
      weight: 0.4
merge_method: dare_ties
base_model: lemon07r/Gemma-2-Ataraxy-v2-9B
parameters:
  int8_mask: true
dtype: bfloat16

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