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RichardErkhov/
Marsouuu_-_lareneg3B-ECE-PRYMMAL-Martial-gguf

Name: Marsouuu_-_lareneg3B-ECE-PRYMMAL-Martial-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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lareneg3B-ECE-PRYMMAL-Martial - GGUF

Model creator: https://huggingface.co/Marsouuu/
Original model: https://huggingface.co/Marsouuu/lareneg3B-ECE-PRYMMAL-Martial/

Name	Quant method	Size
lareneg3B-ECE-PRYMMAL-Martial.Q2_K.gguf	Q2_K	1.32GB
lareneg3B-ECE-PRYMMAL-Martial.IQ3_XS.gguf	IQ3_XS	1.51GB
lareneg3B-ECE-PRYMMAL-Martial.IQ3_S.gguf	IQ3_S	1.57GB
lareneg3B-ECE-PRYMMAL-Martial.Q3_K_S.gguf	Q3_K_S	1.57GB
lareneg3B-ECE-PRYMMAL-Martial.IQ3_M.gguf	IQ3_M	1.73GB
lareneg3B-ECE-PRYMMAL-Martial.Q3_K.gguf	Q3_K	1.82GB
lareneg3B-ECE-PRYMMAL-Martial.Q3_K_M.gguf	Q3_K_M	1.82GB
lareneg3B-ECE-PRYMMAL-Martial.Q3_K_L.gguf	Q3_K_L	1.94GB
lareneg3B-ECE-PRYMMAL-Martial.IQ4_XS.gguf	IQ4_XS	1.93GB
lareneg3B-ECE-PRYMMAL-Martial.Q4_0.gguf	Q4_0	2.03GB
lareneg3B-ECE-PRYMMAL-Martial.IQ4_NL.gguf	IQ4_NL	2.04GB
lareneg3B-ECE-PRYMMAL-Martial.Q4_K_S.gguf	Q4_K_S	2.04GB
lareneg3B-ECE-PRYMMAL-Martial.Q4_K.gguf	Q4_K	2.23GB
lareneg3B-ECE-PRYMMAL-Martial.Q4_K_M.gguf	Q4_K_M	2.23GB
lareneg3B-ECE-PRYMMAL-Martial.Q4_1.gguf	Q4_1	2.24GB
lareneg3B-ECE-PRYMMAL-Martial.Q5_0.gguf	Q5_0	2.46GB
lareneg3B-ECE-PRYMMAL-Martial.Q5_K_S.gguf	Q5_K_S	2.46GB
lareneg3B-ECE-PRYMMAL-Martial.Q5_K.gguf	Q5_K	2.62GB
lareneg3B-ECE-PRYMMAL-Martial.Q5_K_M.gguf	Q5_K_M	2.62GB
lareneg3B-ECE-PRYMMAL-Martial.Q5_1.gguf	Q5_1	2.68GB
lareneg3B-ECE-PRYMMAL-Martial.Q6_K.gguf	Q6_K	2.92GB
lareneg3B-ECE-PRYMMAL-Martial.Q8_0.gguf	Q8_0	3.78GB

Original model description:

base_model:

microsoft/Phi-3.5-mini-instruct
jpacifico/Chocolatine-3B-Instruct-DPO-Revised library_name: transformers tags:
mergekit
merge license: apache-2.0

my-output

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:

Configuration

The following YAML configuration was used to produce this model:

yaml

slices:
  - sources:
      - model: jpacifico/Chocolatine-3B-Instruct-DPO-Revised
        layer_range: [0, 32]
      - model: microsoft/Phi-3.5-mini-instruct
        layer_range: [0, 32]
merge_method: slerp
base_model: jpacifico/Chocolatine-3B-Instruct-DPO-Revised
parameters:
  t:
    - filter: self_attn
      value: [1, 0.75, 0.5, 0.25, 0]
    - filter: mlp
      value: [0, 0.25, 0.5, 0.75, 1]
    - value: 0.5
dtype: bfloat16

RichardErkhov/Marsouuu_-_lareneg3B-ECE-PRYMMAL-Martial-gguf