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ClaudioItaly_-_Pullulation-2-9B-gguf
RichardErkhov/ClaudioItaly_-_Pullulation-2-9B-gguf
ClaudioItaly_-_Pullulation-2-9B-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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108 GB
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.gguf126 GB · 100%
At a glance
- Access
- Public
- Created
- Oct 12, 2024
- Updated
- Oct 12, 2024
- SHA
- 64c464eb
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Pullulation-2-9B - GGUF
- Model creator: https://huggingface.co/ClaudioItaly/
- Original model: https://huggingface.co/ClaudioItaly/Pullulation-2-9B/
| Name | Quant method | Size |
|---|---|---|
| Pullulation-2-9B.Q2_K.gguf | Q2_K | 3.54GB |
| Pullulation-2-9B.IQ3_XS.gguf | IQ3_XS | 3.86GB |
| Pullulation-2-9B.IQ3_S.gguf | IQ3_S | 4.04GB |
| Pullulation-2-9B.Q3_K_S.gguf | Q3_K_S | 4.04GB |
| Pullulation-2-9B.IQ3_M.gguf | IQ3_M | 4.19GB |
| Pullulation-2-9B.Q3_K.gguf | Q3_K | 4.43GB |
| Pullulation-2-9B.Q3_K_M.gguf | Q3_K_M | 4.43GB |
| Pullulation-2-9B.Q3_K_L.gguf | Q3_K_L | 4.78GB |
| Pullulation-2-9B.IQ4_XS.gguf | IQ4_XS | 4.86GB |
| Pullulation-2-9B.Q4_0.gguf | Q4_0 | 5.07GB |
| Pullulation-2-9B.IQ4_NL.gguf | IQ4_NL | 5.1GB |
| Pullulation-2-9B.Q4_K_S.gguf | Q4_K_S | 5.1GB |
| Pullulation-2-9B.Q4_K.gguf | Q4_K | 5.37GB |
| Pullulation-2-9B.Q4_K_M.gguf | Q4_K_M | 5.37GB |
| Pullulation-2-9B.Q4_1.gguf | Q4_1 | 5.55GB |
| Pullulation-2-9B.Q5_0.gguf | Q5_0 | 6.04GB |
| Pullulation-2-9B.Q5_K_S.gguf | Q5_K_S | 6.04GB |
| Pullulation-2-9B.Q5_K.gguf | Q5_K | 6.19GB |
| Pullulation-2-9B.Q5_K_M.gguf | Q5_K_M | 6.19GB |
| Pullulation-2-9B.Q5_1.gguf | Q5_1 | 6.52GB |
| Pullulation-2-9B.Q6_K.gguf | Q6_K | 7.07GB |
| Pullulation-2-9B.Q8_0.gguf | Q8_0 | 9.15GB |
Original model description:
base_model:
- jsgreenawalt/gemma-2-9B-it-advanced-v2.1
- nbeerbower/gemma2-gutenberg-9B
- ifable/gemma-2-Ifable-9B
- UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
- lemon07r/Gemma-2-Ataraxy-9B
- BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference library_name: transformers tags:
- mergekit
- merge
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Stock merge method using nbeerbower/gemma2-gutenberg-9B as a base.
Models Merged
The following models were included in the merge:
- jsgreenawalt/gemma-2-9B-it-advanced-v2.1
- ifable/gemma-2-Ifable-9B
- UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
- lemon07r/Gemma-2-Ataraxy-9B
- BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference
Configuration
The following YAML configuration was used to produce this model:
models:
- model: nbeerbower/gemma2-gutenberg-9B
parameters:
weight: 0.25
- model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
parameters:
weight: 0.25
- model: ifable/gemma-2-Ifable-9B
parameters:
weight: 0.25
- model: jsgreenawalt/gemma-2-9B-it-advanced-v2.1
parameters:
weight: 0.25
- model: lemon07r/Gemma-2-Ataraxy-9B
parameters:
weight: 0.25
- model: BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference
parameters:
weight: 0.25
base_model: nbeerbower/gemma2-gutenberg-9B # Modello di riferimento per la fusione
parameters:
t: [0, 0.33, 0.67, 1] # Parametri di interpolazione
dtype: bfloat16
merge_method: model_stock # Metodo di fusione
- Created
- Oct 12, 2024
- Updated
- Oct 12, 2024