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RichardErkhov/
icefog72_-_IceTea21EnergyDrinkRPV13-DPOv3-gguf

Name: icefog72_-_IceTea21EnergyDrinkRPV13-DPOv3-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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IceTea21EnergyDrinkRPV13-DPOv3 - GGUF

Model creator: https://huggingface.co/icefog72/
Original model: https://huggingface.co/icefog72/IceTea21EnergyDrinkRPV13-DPOv3/

Name	Quant method	Size
IceTea21EnergyDrinkRPV13-DPOv3.Q2_K.gguf	Q2_K	2.53GB
IceTea21EnergyDrinkRPV13-DPOv3.IQ3_XS.gguf	IQ3_XS	2.81GB
IceTea21EnergyDrinkRPV13-DPOv3.IQ3_S.gguf	IQ3_S	2.96GB
IceTea21EnergyDrinkRPV13-DPOv3.Q3_K_S.gguf	Q3_K_S	2.95GB
IceTea21EnergyDrinkRPV13-DPOv3.IQ3_M.gguf	IQ3_M	3.06GB
IceTea21EnergyDrinkRPV13-DPOv3.Q3_K.gguf	Q3_K	3.28GB
IceTea21EnergyDrinkRPV13-DPOv3.Q3_K_M.gguf	Q3_K_M	3.28GB
IceTea21EnergyDrinkRPV13-DPOv3.Q3_K_L.gguf	Q3_K_L	3.56GB
IceTea21EnergyDrinkRPV13-DPOv3.IQ4_XS.gguf	IQ4_XS	3.67GB
IceTea21EnergyDrinkRPV13-DPOv3.Q4_0.gguf	Q4_0	3.83GB
IceTea21EnergyDrinkRPV13-DPOv3.IQ4_NL.gguf	IQ4_NL	3.87GB
IceTea21EnergyDrinkRPV13-DPOv3.Q4_K_S.gguf	Q4_K_S	3.86GB
IceTea21EnergyDrinkRPV13-DPOv3.Q4_K.gguf	Q4_K	4.07GB
IceTea21EnergyDrinkRPV13-DPOv3.Q4_K_M.gguf	Q4_K_M	4.07GB
IceTea21EnergyDrinkRPV13-DPOv3.Q4_1.gguf	Q4_1	4.24GB
IceTea21EnergyDrinkRPV13-DPOv3.Q5_0.gguf	Q5_0	4.65GB
IceTea21EnergyDrinkRPV13-DPOv3.Q5_K_S.gguf	Q5_K_S	4.65GB
IceTea21EnergyDrinkRPV13-DPOv3.Q5_K.gguf	Q5_K	4.78GB
IceTea21EnergyDrinkRPV13-DPOv3.Q5_K_M.gguf	Q5_K_M	4.78GB
IceTea21EnergyDrinkRPV13-DPOv3.Q5_1.gguf	Q5_1	5.07GB
IceTea21EnergyDrinkRPV13-DPOv3.Q6_K.gguf	Q6_K	5.53GB
IceTea21EnergyDrinkRPV13-DPOv3.Q8_0.gguf	Q8_0	7.17GB

Original model description:

base_model: [] library_name: transformers tags:

mergekit
merge

IceTea21EnergyDrinkRPV13-DPOv3

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

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

H:\FModels\IceTea21EnergyDrinkRPV13-dpo240
H:\FModels\IceTea21EnergyDrinkRPV13-DPOv2

Configuration

The following YAML configuration was used to produce this model:

yaml

slices:
  - sources:
      - model: H:\FModels\IceTea21EnergyDrinkRPV13-DPOv2
        layer_range: [0, 32]
      - model: H:\FModels\IceTea21EnergyDrinkRPV13-dpo240
        layer_range: [0, 32]

merge_method: slerp
base_model: H:\FModels\IceTea21EnergyDrinkRPV13-dpo240
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 # fallback for rest of tensors

dtype: bfloat16

RichardErkhov/icefog72_-_IceTea21EnergyDrinkRPV13-DPOv3-gguf