You can deploy this model and start earning money today!

RichardErkhov/
Hjgugugjhuhjggg_-_mergekit-passthrough-sppyqor-gguf

Name: Hjgugugjhuhjggg_-_mergekit-passthrough-sppyqor-gguf
Availability: InStock

Views

No views yet

Quantization made by Richard Erkhov.

mergekit-passthrough-sppyqor - GGUF

Name	Quant method	Size
mergekit-passthrough-sppyqor.Q2_K.gguf	Q2_K	0.23GB
mergekit-passthrough-sppyqor.IQ3_XS.gguf	IQ3_XS	0.23GB
mergekit-passthrough-sppyqor.IQ3_S.gguf	IQ3_S	0.23GB
mergekit-passthrough-sppyqor.Q3_K_S.gguf	Q3_K_S	0.23GB
mergekit-passthrough-sppyqor.IQ3_M.gguf	IQ3_M	0.23GB
mergekit-passthrough-sppyqor.Q3_K.gguf	Q3_K	0.24GB
mergekit-passthrough-sppyqor.Q3_K_M.gguf	Q3_K_M	0.24GB
mergekit-passthrough-sppyqor.Q3_K_L.gguf	Q3_K_L	0.24GB
mergekit-passthrough-sppyqor.IQ4_XS.gguf	IQ4_XS	0.24GB
mergekit-passthrough-sppyqor.Q4_0.gguf	Q4_0	0.24GB
mergekit-passthrough-sppyqor.IQ4_NL.gguf	IQ4_NL	0.24GB
mergekit-passthrough-sppyqor.Q4_K_S.gguf	Q4_K_S	0.24GB
mergekit-passthrough-sppyqor.Q4_K.gguf	Q4_K	0.24GB
mergekit-passthrough-sppyqor.Q4_K_M.gguf	Q4_K_M	0.24GB
mergekit-passthrough-sppyqor.Q4_1.gguf	Q4_1	0.24GB
mergekit-passthrough-sppyqor.Q5_0.gguf	Q5_0	0.25GB
mergekit-passthrough-sppyqor.Q5_K_S.gguf	Q5_K_S	0.25GB
mergekit-passthrough-sppyqor.Q5_K.gguf	Q5_K	0.25GB
mergekit-passthrough-sppyqor.Q5_K_M.gguf	Q5_K_M	0.25GB
mergekit-passthrough-sppyqor.Q5_1.gguf	Q5_1	0.25GB
mergekit-passthrough-sppyqor.Q6_K.gguf	Q6_K	0.25GB
mergekit-passthrough-sppyqor.Q8_0.gguf	Q8_0	0.33GB

Original model description:

base_model:

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

This model was merged using the passthrough merge method.

The following models were included in the merge:

The following YAML configuration was used to produce this model:

yaml

slices:
  - sources:
      - layer_range: [0, 1]
        model: meta-llama/Llama-3.2-1B

merge_method: passthrough
dtype: bfloat16