RichardErkhov/appvoid_-_arco-exp-24-gguf

Quantization made by Richard Erkhov.

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arco-exp-24 - GGUF

• Model creator: https://huggingface.co/appvoid/
• Original model: https://huggingface.co/appvoid/arco-exp-24/

Name	Quant method	Size
arco-exp-24.Q2_K.gguf	Q2_K	0.2GB
arco-exp-24.IQ3_XS.gguf	IQ3_XS	0.22GB
arco-exp-24.IQ3_S.gguf	IQ3_S	0.22GB
arco-exp-24.Q3_K_S.gguf	Q3_K_S	0.22GB
arco-exp-24.IQ3_M.gguf	IQ3_M	0.23GB
arco-exp-24.Q3_K.gguf	Q3_K	0.24GB
arco-exp-24.Q3_K_M.gguf	Q3_K_M	0.24GB
arco-exp-24.Q3_K_L.gguf	Q3_K_L	0.26GB
arco-exp-24.IQ4_XS.gguf	IQ4_XS	0.27GB
arco-exp-24.Q4_0.gguf	Q4_0	0.28GB
arco-exp-24.IQ4_NL.gguf	IQ4_NL	0.28GB
arco-exp-24.Q4_K_S.gguf	Q4_K_S	0.28GB
arco-exp-24.Q4_K.gguf	Q4_K	0.3GB
arco-exp-24.Q4_K_M.gguf	Q4_K_M	0.3GB
arco-exp-24.Q4_1.gguf	Q4_1	0.31GB
arco-exp-24.Q5_0.gguf	Q5_0	0.34GB
arco-exp-24.Q5_K_S.gguf	Q5_K_S	0.34GB
arco-exp-24.Q5_K.gguf	Q5_K	0.34GB
arco-exp-24.Q5_K_M.gguf	Q5_K_M	0.34GB
arco-exp-24.Q5_1.gguf	Q5_1	0.36GB
arco-exp-24.Q6_K.gguf	Q6_K	0.39GB
arco-exp-24.Q8_0.gguf	Q8_0	0.51GB

Original model description:

base_model:

• appvoid/arco-2-openhermes
• appvoid/massive
• appvoid/arco-2-reasoning-20k
• appvoid/arco
• h2oai/h2o-danube3-500m-base
• appvoid/arco-2
• appvoid/text-arco
• appvoid/palmer-004-turbo 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 h2oai/h2o-danube3-500m-base as a base.

Models Merged

The following models were included in the merge:

• appvoid/arco-2-openhermes
• appvoid/massive
• appvoid/arco-2-reasoning-20k
• appvoid/arco
• appvoid/arco-2
• appvoid/text-arco
• appvoid/palmer-004-turbo

Configuration

The following YAML configuration was used to produce this model:

models:
    - model: appvoid/arco-2-openhermes
    - model: appvoid/arco-2-reasoning-20k
    - model: appvoid/arco-2
    - model: appvoid/text-arco
    - model: appvoid/arco
    - model: appvoid/palmer-004-turbo
    - model: appvoid/massive
merge_method: model_stock
base_model: h2oai/h2o-danube3-500m-base
normalize: false
int8_mask: true
dtype: float16