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RichardErkhov/
grimjim_-_Gemma2-Nephilim-v3-9B-gguf

Name: grimjim_-_Gemma2-Nephilim-v3-9B-gguf
Availability: InStock

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Gemma2-Nephilim-v3-9B - GGUF

Model creator: https://huggingface.co/grimjim/
Original model: https://huggingface.co/grimjim/Gemma2-Nephilim-v3-9B/

Name	Quant method	Size
Gemma2-Nephilim-v3-9B.Q2_K.gguf	Q2_K	3.54GB
Gemma2-Nephilim-v3-9B.IQ3_XS.gguf	IQ3_XS	3.86GB
Gemma2-Nephilim-v3-9B.IQ3_S.gguf	IQ3_S	4.04GB
Gemma2-Nephilim-v3-9B.Q3_K_S.gguf	Q3_K_S	4.04GB
Gemma2-Nephilim-v3-9B.IQ3_M.gguf	IQ3_M	4.19GB
Gemma2-Nephilim-v3-9B.Q3_K.gguf	Q3_K	4.43GB
Gemma2-Nephilim-v3-9B.Q3_K_M.gguf	Q3_K_M	4.43GB
Gemma2-Nephilim-v3-9B.Q3_K_L.gguf	Q3_K_L	4.78GB
Gemma2-Nephilim-v3-9B.IQ4_XS.gguf	IQ4_XS	4.86GB
Gemma2-Nephilim-v3-9B.Q4_0.gguf	Q4_0	5.07GB
Gemma2-Nephilim-v3-9B.IQ4_NL.gguf	IQ4_NL	5.1GB
Gemma2-Nephilim-v3-9B.Q4_K_S.gguf	Q4_K_S	5.1GB
Gemma2-Nephilim-v3-9B.Q4_K.gguf	Q4_K	5.37GB
Gemma2-Nephilim-v3-9B.Q4_K_M.gguf	Q4_K_M	5.37GB
Gemma2-Nephilim-v3-9B.Q4_1.gguf	Q4_1	5.55GB
Gemma2-Nephilim-v3-9B.Q5_0.gguf	Q5_0	6.04GB
Gemma2-Nephilim-v3-9B.Q5_K_S.gguf	Q5_K_S	6.04GB
Gemma2-Nephilim-v3-9B.Q5_K.gguf	Q5_K	6.19GB
Gemma2-Nephilim-v3-9B.Q5_K_M.gguf	Q5_K_M	6.19GB
Gemma2-Nephilim-v3-9B.Q5_1.gguf	Q5_1	6.52GB
Gemma2-Nephilim-v3-9B.Q6_K.gguf	Q6_K	7.07GB
Gemma2-Nephilim-v3-9B.Q8_0.gguf	Q8_0	9.15GB

Original model description:

base_model:

UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
princeton-nlp/gemma-2-9b-it-SimPO library_name: transformers tags:
mergekit
merge license: gemma pipeline_tag: text-generation

Gemma2-Nephilim-v3-9B

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

Though none of the components of this merge were trained for roleplay nor intended for it, the model can be used effectively in that role.

Tested with temperature 1 and minP 0.01. This model leans toward being creative, so adjust temperature upward or downward as desired. The Instruct template used during testing can be found below:

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml

slices:
- sources:
  - model: princeton-nlp/gemma-2-9b-it-SimPO
    layer_range:
    - 0
    - 42
  - model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
    layer_range:
    - 0
    - 42
merge_method: slerp
base_model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
  t:
  - filter: self_attn
    value:
    - 0
    - 0.5
    - 0.3
    - 0.7
    - 1
  - filter: mlp
    value:
    - 1
    - 0.5
    - 0.7
    - 0.3
    - 0
  - value: 0.5
dtype: bfloat16

RichardErkhov/grimjim_-_Gemma2-Nephilim-v3-9B-gguf