appvoid_-_arco-l-test-8-gguf

RichardErkhov/appvoid_-_arco-l-test-8-gguf

appvoid_-_arco-l-test-8-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.

Downloads · 30 days

1% of all-time downloads

All-time downloads

352

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Repo size

7.2 GB

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Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf8.3 GB · 100%

At a glance

Access: Public
Created: Mar 14, 2025
Updated: Mar 14, 2025
SHA: de27d217

Model card

From the Hugging Face model README

Quantization made by Richard Erkhov.

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arco-l-test-8 - GGUF

Model creator: https://huggingface.co/appvoid/
Original model: https://huggingface.co/appvoid/arco-l-test-8/

Name	Quant method	Size
arco-l-test-8.Q2_K.gguf	Q2_K	0.23GB
arco-l-test-8.IQ3_XS.gguf	IQ3_XS	0.25GB
arco-l-test-8.IQ3_S.gguf	IQ3_S	0.27GB
arco-l-test-8.Q3_K_S.gguf	Q3_K_S	0.27GB
arco-l-test-8.IQ3_M.gguf	IQ3_M	0.28GB
arco-l-test-8.Q3_K.gguf	Q3_K	0.29GB
arco-l-test-8.Q3_K_M.gguf	Q3_K_M	0.29GB
arco-l-test-8.Q3_K_L.gguf	Q3_K_L	0.31GB
arco-l-test-8.IQ4_XS.gguf	IQ4_XS	0.32GB
arco-l-test-8.Q4_0.gguf	Q4_0	0.34GB
arco-l-test-8.IQ4_NL.gguf	IQ4_NL	0.34GB
arco-l-test-8.Q4_K_S.gguf	Q4_K_S	0.34GB
arco-l-test-8.Q4_K.gguf	Q4_K	0.35GB
arco-l-test-8.Q4_K_M.gguf	Q4_K_M	0.35GB
arco-l-test-8.Q4_1.gguf	Q4_1	0.37GB
arco-l-test-8.Q5_0.gguf	Q5_0	0.4GB
arco-l-test-8.Q5_K_S.gguf	Q5_K_S	0.4GB
arco-l-test-8.Q5_K.gguf	Q5_K	0.41GB
arco-l-test-8.Q5_K_M.gguf	Q5_K_M	0.41GB
arco-l-test-8.Q5_1.gguf	Q5_1	0.44GB
arco-l-test-8.Q6_K.gguf	Q6_K	0.47GB
arco-l-test-8.Q8_0.gguf	Q8_0	0.61GB

Original model description:

base_model:

appvoid/arco
appvoid/arco-2-instruct 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 passthrough merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
    - model: appvoid/arco
      layer_range: [0, 16]
  - sources:
    - model: appvoid/arco-2-instruct
      layer_range: [12, 16]
merge_method: passthrough
dtype: float16

Created: Mar 14, 2025
Updated: Mar 14, 2025