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RichardErkhov/
kechengcode_-_Qwen2-5B-16Layers-gguf

Name: kechengcode_-_Qwen2-5B-16Layers-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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Qwen2-5B-16Layers - GGUF

Model creator: https://huggingface.co/kechengcode/
Original model: https://huggingface.co/kechengcode/Qwen2-5B-16Layers/

Name	Quant method	Size
Qwen2-5B-16Layers.Q2_K.gguf	Q2_K	1.86GB
Qwen2-5B-16Layers.IQ3_XS.gguf	IQ3_XS	2.06GB
Qwen2-5B-16Layers.IQ3_S.gguf	IQ3_S	2.14GB
Qwen2-5B-16Layers.Q3_K_S.gguf	Q3_K_S	2.13GB
Qwen2-5B-16Layers.IQ3_M.gguf	IQ3_M	2.18GB
Qwen2-5B-16Layers.Q3_K.gguf	Q3_K	2.3GB
Qwen2-5B-16Layers.Q3_K_M.gguf	Q3_K_M	2.3GB
Qwen2-5B-16Layers.Q3_K_L.gguf	Q3_K_L	2.45GB
Qwen2-5B-16Layers.IQ4_XS.gguf	IQ4_XS	2.56GB
Qwen2-5B-16Layers.Q4_0.gguf	Q4_0	2.66GB
Qwen2-5B-16Layers.IQ4_NL.gguf	IQ4_NL	2.68GB
Qwen2-5B-16Layers.Q4_K_S.gguf	Q4_K_S	2.68GB
Qwen2-5B-16Layers.Q4_K.gguf	Q4_K	2.8GB
Qwen2-5B-16Layers.Q4_K_M.gguf	Q4_K_M	2.8GB
Qwen2-5B-16Layers.Q4_1.gguf	Q4_1	2.91GB
Qwen2-5B-16Layers.Q5_0.gguf	Q5_0	3.16GB
Qwen2-5B-16Layers.Q5_K_S.gguf	Q5_K_S	3.16GB
Qwen2-5B-16Layers.Q5_K.gguf	Q5_K	3.23GB
Qwen2-5B-16Layers.Q5_K_M.gguf	Q5_K_M	3.23GB
Qwen2-5B-16Layers.Q5_1.gguf	Q5_1	3.41GB
Qwen2-5B-16Layers.Q6_K.gguf	Q6_K	3.69GB
Qwen2-5B-16Layers.Q8_0.gguf	Q8_0	4.77GB

Original model description:

base_model:

Qwen/Qwen2-7B library_name: transformers tags:
mergekit
merge

merged

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:

Qwen/Qwen2-7B

Configuration

The following YAML configuration was used to produce this model:

yaml

dtype: float16
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 10]
    model: Qwen/Qwen2-7B
- sources:
  - layer_range: [22, 28]
    model: Qwen/Qwen2-7B

RichardErkhov/kechengcode_-_Qwen2-5B-16Layers-gguf