djuna-test-lab_-_Qwen_Zeroed-gguf

RichardErkhov/djuna-test-lab_-_Qwen_Zeroed-gguf

djuna-test-lab_-_Qwen_Zeroed-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

104

3% of all-time downloads

All-time downloads

3.7K

Public

Repo size

9.1 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf10.5 GB · 100%

At a glance

Access: Public
Created: Mar 14, 2025
Updated: Mar 14, 2025
SHA: a58d239c

Model card

From the Hugging Face model README

Quantization made by Richard Erkhov.

Github

Discord

Request more models

Qwen_Zeroed - GGUF

Model creator: https://huggingface.co/djuna-test-lab/
Original model: https://huggingface.co/djuna-test-lab/Qwen_Zeroed/

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

Original model description:

base_model:

Qwen/Qwen2.5-0.5B-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 linear merge method.

Models Merged

The following models were included in the merge:

Qwen/Qwen2.5-0.5B-Instruct

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: 1.0
  - model: Qwen/Qwen2.5-0.5B-Instruct
    parameters:
      weight: -1.0
merge_method: linear
dtype: float16

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