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RichardErkhov/
Sakalti_-_Test-1003-gguf

Name: Sakalti_-_Test-1003-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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Test-1003 - GGUF

Model creator: https://huggingface.co/Sakalti/
Original model: https://huggingface.co/Sakalti/Test-1003/

Name	Quant method	Size
Test-1003.Q2_K.gguf	Q2_K	1.08GB
Test-1003.IQ3_XS.gguf	IQ3_XS	1.2GB
Test-1003.IQ3_S.gguf	IQ3_S	1.25GB
Test-1003.Q3_K_S.gguf	Q3_K_S	1.25GB
Test-1003.IQ3_M.gguf	IQ3_M	1.28GB
Test-1003.Q3_K.gguf	Q3_K	1.36GB
Test-1003.Q3_K_M.gguf	Q3_K_M	1.36GB
Test-1003.Q3_K_L.gguf	Q3_K_L	1.46GB
Test-1003.IQ4_XS.gguf	IQ4_XS	1.52GB
Test-1003.Q4_0.gguf	Q4_0	1.58GB
Test-1003.IQ4_NL.gguf	IQ4_NL	1.59GB
Test-1003.Q4_K_S.gguf	Q4_K_S	1.59GB
Test-1003.Q4_K.gguf	Q4_K	1.67GB
Test-1003.Q4_K_M.gguf	Q4_K_M	1.67GB
Test-1003.Q4_1.gguf	Q4_1	1.74GB
Test-1003.Q5_0.gguf	Q5_0	1.89GB
Test-1003.Q5_K_S.gguf	Q5_K_S	1.89GB
Test-1003.Q5_K.gguf	Q5_K	1.94GB
Test-1003.Q5_K_M.gguf	Q5_K_M	1.94GB
Test-1003.Q5_1.gguf	Q5_1	2.05GB
Test-1003.Q6_K.gguf	Q6_K	2.22GB
Test-1003.Q8_0.gguf	Q8_0	2.88GB

Original model description:

base_model:

Qwen/Qwen2.5-1.5B-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:

Qwen/Qwen2.5-1.5B-Instruct

Configuration

The following YAML configuration was used to produce this model:

yaml

dtype: bfloat16
merge_method: passthrough
slices:
- sources:
  - layer_range: [0, 2]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [1, 3]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [2, 4]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [3, 5]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [4, 6]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [5, 7]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [6, 8]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [7, 9]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [8, 10]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [9, 11]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [10, 12]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [11, 13]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [12, 14]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [13, 15]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [14, 16]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [16, 18]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [17, 19]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [18, 20]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [19, 21]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [20, 22]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [21, 23]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [22, 24]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [23, 25]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [24, 26]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [25, 27]
    model: Qwen/Qwen2.5-1.5B-Instruct
- sources:
  - layer_range: [26, 28]
    model: Qwen/Qwen2.5-1.5B-Instruct

RichardErkhov/Sakalti_-_Test-1003-gguf