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RichardErkhov/
Inv_-_Konstanta-V4-Alpha-7B-gguf

Name: Inv_-_Konstanta-V4-Alpha-7B-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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Konstanta-V4-Alpha-7B - GGUF

Model creator: https://huggingface.co/Inv/
Original model: https://huggingface.co/Inv/Konstanta-V4-Alpha-7B/

Name	Quant method	Size
Konstanta-V4-Alpha-7B.Q2_K.gguf	Q2_K	2.53GB
Konstanta-V4-Alpha-7B.IQ3_XS.gguf	IQ3_XS	2.81GB
Konstanta-V4-Alpha-7B.IQ3_S.gguf	IQ3_S	2.96GB
Konstanta-V4-Alpha-7B.Q3_K_S.gguf	Q3_K_S	2.95GB
Konstanta-V4-Alpha-7B.IQ3_M.gguf	IQ3_M	3.06GB
Konstanta-V4-Alpha-7B.Q3_K.gguf	Q3_K	3.28GB
Konstanta-V4-Alpha-7B.Q3_K_M.gguf	Q3_K_M	3.28GB
Konstanta-V4-Alpha-7B.Q3_K_L.gguf	Q3_K_L	3.56GB
Konstanta-V4-Alpha-7B.IQ4_XS.gguf	IQ4_XS	3.67GB
Konstanta-V4-Alpha-7B.Q4_0.gguf	Q4_0	3.83GB
Konstanta-V4-Alpha-7B.IQ4_NL.gguf	IQ4_NL	3.87GB
Konstanta-V4-Alpha-7B.Q4_K_S.gguf	Q4_K_S	3.86GB
Konstanta-V4-Alpha-7B.Q4_K.gguf	Q4_K	4.07GB
Konstanta-V4-Alpha-7B.Q4_K_M.gguf	Q4_K_M	4.07GB
Konstanta-V4-Alpha-7B.Q4_1.gguf	Q4_1	4.24GB
Konstanta-V4-Alpha-7B.Q5_0.gguf	Q5_0	4.65GB
Konstanta-V4-Alpha-7B.Q5_K_S.gguf	Q5_K_S	4.65GB
Konstanta-V4-Alpha-7B.Q5_K.gguf	Q5_K	4.78GB
Konstanta-V4-Alpha-7B.Q5_K_M.gguf	Q5_K_M	4.78GB
Konstanta-V4-Alpha-7B.Q5_1.gguf	Q5_1	5.07GB
Konstanta-V4-Alpha-7B.Q6_K.gguf	Q6_K	5.53GB
Konstanta-V4-Alpha-7B.Q8_0.gguf	Q8_0	7.17GB

Original model description:

base_model:

Inv/Konstanta-7B library_name: transformers tags:
mergekit
merge
senseable/WestLake-7B-v2
KatyTheCutie/LemonadeRP-4.5.3
roleplay
rp license: apache-2.0

Konstanta-V4-Alpha-7B

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

Alright, so, this model seems to be REALLY good. Konstanta-7B is pretty good either, but this one is still marginally better.

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using Inv/Konstanta-7B as a base.

Models Merged

The following models were included in the merge:

senseable/WestLake-7B-v2
KatyTheCutie/LemonadeRP-4.5.3

Configuration

The following YAML configuration was used to produce this model:

yaml

merge_method: dare_ties
dtype: bfloat16
parameters:
  int8_mask: true
base_model: Inv/Konstanta-7B
models:
  - model: Inv/Konstanta-7B
  - model: KatyTheCutie/LemonadeRP-4.5.3
    parameters:
      density: 0.65
      weight: [0.65, 0.40, 0.35, 0.30, 0.35, 0.40, 0.25]
  - model: senseable/WestLake-7B-v2
    parameters:
      density: 0.85
      weight: [0.25, 0.40, 0.35, 0.30, 0.35, 0.40, 0.65]

RichardErkhov/Inv_-_Konstanta-V4-Alpha-7B-gguf