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RichardErkhov/
Casual-Autopsy_-_Gemma-Radiation-RP-9B-gguf

Name: Casual-Autopsy_-_Gemma-Radiation-RP-9B-gguf
Availability: InStock

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Gemma-Radiation-RP-9B - GGUF

Model creator: https://huggingface.co/Casual-Autopsy/
Original model: https://huggingface.co/Casual-Autopsy/Gemma-Radiation-RP-9B/

Name	Quant method	Size
Gemma-Radiation-RP-9B.Q2_K.gguf	Q2_K	3.54GB
Gemma-Radiation-RP-9B.IQ3_XS.gguf	IQ3_XS	3.86GB
Gemma-Radiation-RP-9B.IQ3_S.gguf	IQ3_S	4.04GB
Gemma-Radiation-RP-9B.Q3_K_S.gguf	Q3_K_S	4.04GB
Gemma-Radiation-RP-9B.IQ3_M.gguf	IQ3_M	4.19GB
Gemma-Radiation-RP-9B.Q3_K.gguf	Q3_K	4.43GB
Gemma-Radiation-RP-9B.Q3_K_M.gguf	Q3_K_M	4.43GB
Gemma-Radiation-RP-9B.Q3_K_L.gguf	Q3_K_L	4.78GB
Gemma-Radiation-RP-9B.IQ4_XS.gguf	IQ4_XS	4.86GB
Gemma-Radiation-RP-9B.Q4_0.gguf	Q4_0	5.07GB
Gemma-Radiation-RP-9B.IQ4_NL.gguf	IQ4_NL	5.1GB
Gemma-Radiation-RP-9B.Q4_K_S.gguf	Q4_K_S	5.1GB
Gemma-Radiation-RP-9B.Q4_K.gguf	Q4_K	5.37GB
Gemma-Radiation-RP-9B.Q4_K_M.gguf	Q4_K_M	5.37GB
Gemma-Radiation-RP-9B.Q4_1.gguf	Q4_1	5.55GB
Gemma-Radiation-RP-9B.Q5_0.gguf	Q5_0	6.04GB
Gemma-Radiation-RP-9B.Q5_K_S.gguf	Q5_K_S	6.04GB
Gemma-Radiation-RP-9B.Q5_K.gguf	Q5_K	6.19GB
Gemma-Radiation-RP-9B.Q5_K_M.gguf	Q5_K_M	6.19GB
Gemma-Radiation-RP-9B.Q5_1.gguf	Q5_1	6.52GB
Gemma-Radiation-RP-9B.Q6_K.gguf	Q6_K	7.07GB
Gemma-Radiation-RP-9B.Q8_0.gguf	Q8_0	9.15GB

Original model description:

library_name: transformers tags:

mergekit
merge

ToDo: Fill the card with more info.

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

It's a bit of a test merge to dip my toes into merging Gemma 2. Sadly, however, it seems like 8B is my PC's tolerable limit before performance becomes painstakingly and infuriatingly slow, so after this, I might have to sit out on Gemma 2

Merge Method

This model was merged using the Model Stock merge method using Casual-Autopsy/Gemma-Rad-RP as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml

models:
  - model: crestf411/gemma2-9B-sunfall-v0.5.2
  - model: crestf411/gemma2-9B-daybreak-v0.5
    parameters:
      density: [0.7, 0.5, 0.3, 0.35, 0.65, 0.35, 0.75, 0.25, 0.75, 0.35, 0.65, 0.35, 0.3, 0.5, 0.7]
      weight: [0.5, 0.13, 0.5, 0.13, 0.3]
  - model: crestf411/gemstone-9b
    parameters:
      density: [0.7, 0.5, 0.3, 0.35, 0.65, 0.35, 0.75, 0.25, 0.75, 0.35, 0.65, 0.35, 0.3, 0.5, 0.7]
      weight: [0.13, 0.5, 0.13, 0.5, 0.13]
merge_method: dare_ties
base_model: crestf411/gemma2-9B-sunfall-v0.5.2
parameters:
  normalize: false
  int8_mask: true
dtype: bfloat16

yaml

models:
  - model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
  - model: nldemo/Gemma-9B-Summarizer-QLoRA
    parameters:
      density: [0.7, 0.5, 0.3, 0.35, 0.65, 0.35, 0.75, 0.25, 0.75, 0.35, 0.65, 0.35, 0.3, 0.5, 0.7]
      weight: [0.0625, 0.25, 0.0625, 0.25, 0.0625]
  - model: SillyTilly/google-gemma-2-9b-it+rbojja/gemma2-9b-intent-lora-adapter
    parameters:
      density: [0.7, 0.5, 0.3, 0.35, 0.65, 0.35, 0.75, 0.25, 0.75, 0.35, 0.65, 0.35, 0.3, 0.5, 0.7]
      weight: [0.0625, 0.25, 0.0625, 0.25, 0.0625]
  - model: nbeerbower/gemma2-gutenberg-9B
    parameters:
      density: [0.7, 0.5, 0.3, 0.35, 0.65, 0.35, 0.75, 0.25, 0.75, 0.35, 0.65, 0.35, 0.3, 0.5, 0.7]
      weight: [0.25, 0.0625, 0.25, 0.0625, 0.25]
merge_method: ties
base_model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
  normalize: false
  int8_mask: true
dtype: bfloat16

yaml

models:
  - model: IlyaGusev/gemma-2-9b-it-abliterated
  - model: TheDrummer/Smegmma-9B-v1
    parameters:
      density: [0.7, 0.5, 0.3, 0.35, 0.65, 0.35, 0.75, 0.25, 0.75, 0.35, 0.65, 0.35, 0.3, 0.5, 0.7]
      weight: [0.5, 0.13, 0.5, 0.13, 0.3]
  - model: TheDrummer/Tiger-Gemma-9B-v1
    parameters:
      density: [0.7, 0.5, 0.3, 0.35, 0.65, 0.35, 0.75, 0.25, 0.75, 0.35, 0.65, 0.35, 0.3, 0.5, 0.7]
      weight: [0.13, 0.5, 0.13, 0.5, 0.13]
merge_method: dare_ties
base_model: IlyaGusev/gemma-2-9b-it-abliterated
parameters:
  normalize: false
  int8_mask: true
dtype: bfloat16

yaml

models:
  - model: Casual-Autopsy/Gemma-Rad-RP
  - model: Casual-Autopsy/Gemma-Rad-Uncen
  - model: Casual-Autopsy/Gemma-Rad-IQ
merge_method: model_stock
base_model: Casual-Autopsy/Gemma-Rad-RP
dtype: bfloat16

RichardErkhov/Casual-Autopsy_-_Gemma-Radiation-RP-9B-gguf

Original model description:

merge

Merge Details

Merge Method

Models Merged

Configuration

RichardErkhov/
Casual-Autopsy_-_Gemma-Radiation-RP-9B-gguf