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RichardErkhov/
archit11_-_Neuralqwen3-0.5B-slerp-gguf

Name: archit11_-_Neuralqwen3-0.5B-slerp-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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Neuralqwen3-0.5B-slerp - GGUF

Model creator: https://huggingface.co/archit11/
Original model: https://huggingface.co/archit11/Neuralqwen3-0.5B-slerp/

Name	Quant method	Size
Neuralqwen3-0.5B-slerp.Q2_K.gguf	Q2_K	0.39GB
Neuralqwen3-0.5B-slerp.IQ3_XS.gguf	IQ3_XS	0.39GB
Neuralqwen3-0.5B-slerp.IQ3_S.gguf	IQ3_S	0.39GB
Neuralqwen3-0.5B-slerp.Q3_K_S.gguf	Q3_K_S	0.39GB
Neuralqwen3-0.5B-slerp.IQ3_M.gguf	IQ3_M	0.39GB
Neuralqwen3-0.5B-slerp.Q3_K.gguf	Q3_K	0.4GB
Neuralqwen3-0.5B-slerp.Q3_K_M.gguf	Q3_K_M	0.4GB
Neuralqwen3-0.5B-slerp.Q3_K_L.gguf	Q3_K_L	0.42GB
Neuralqwen3-0.5B-slerp.IQ4_XS.gguf	IQ4_XS	0.4GB
Neuralqwen3-0.5B-slerp.Q4_0.gguf	Q4_0	0.4GB
Neuralqwen3-0.5B-slerp.IQ4_NL.gguf	IQ4_NL	0.4GB
Neuralqwen3-0.5B-slerp.Q4_K_S.gguf	Q4_K_S	0.45GB
Neuralqwen3-0.5B-slerp.Q4_K.gguf	Q4_K	0.46GB
Neuralqwen3-0.5B-slerp.Q4_K_M.gguf	Q4_K_M	0.46GB
Neuralqwen3-0.5B-slerp.Q4_1.gguf	Q4_1	0.43GB
Neuralqwen3-0.5B-slerp.Q5_0.gguf	Q5_0	0.46GB
Neuralqwen3-0.5B-slerp.Q5_K_S.gguf	Q5_K_S	0.48GB
Neuralqwen3-0.5B-slerp.Q5_K.gguf	Q5_K	0.49GB
Neuralqwen3-0.5B-slerp.Q5_K_M.gguf	Q5_K_M	0.49GB
Neuralqwen3-0.5B-slerp.Q5_1.gguf	Q5_1	0.49GB
Neuralqwen3-0.5B-slerp.Q6_K.gguf	Q6_K	0.61GB
Neuralqwen3-0.5B-slerp.Q8_0.gguf	Q8_0	0.63GB

Original model description:

base_model:

Replete-AI/Replete-LLM-V2.5-Qwen-0.5b
KingNish/Qwen2.5-0.5b-Test-ft library_name: transformers tags:
mergekit
merge

merge4

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

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml

slices:
  - sources:
      - model: KingNish/Qwen2.5-0.5b-Test-ft
        layer_range: [0, 24]
      - model: Replete-AI/Replete-LLM-V2.5-Qwen-0.5b
        layer_range: [0, 24]
merge_method: slerp
base_model: KingNish/Qwen2.5-0.5b-Test-ft
parameters:
  t:
    - filter: "*"
      value: [0.3, 0.4, 0.5, 0.6, 0.7]
dtype: bfloat16

RichardErkhov/archit11_-_Neuralqwen3-0.5B-slerp-gguf