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RichardErkhov/
Hjgugugjhuhjggg_-_mergekit-dare_linear-caalfar-gguf

Name: Hjgugugjhuhjggg_-_mergekit-dare_linear-caalfar-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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mergekit-dare_linear-caalfar - GGUF

Model creator: https://huggingface.co/Hjgugugjhuhjggg/
Original model: https://huggingface.co/Hjgugugjhuhjggg/mergekit-dare_linear-caalfar/

Name	Quant method	Size
mergekit-dare_linear-caalfar.Q2_K.gguf	Q2_K	0.54GB
mergekit-dare_linear-caalfar.IQ3_XS.gguf	IQ3_XS	0.58GB
mergekit-dare_linear-caalfar.IQ3_S.gguf	IQ3_S	0.6GB
mergekit-dare_linear-caalfar.Q3_K_S.gguf	Q3_K_S	0.6GB
mergekit-dare_linear-caalfar.IQ3_M.gguf	IQ3_M	0.61GB
mergekit-dare_linear-caalfar.Q3_K.gguf	Q3_K	0.64GB
mergekit-dare_linear-caalfar.Q3_K_M.gguf	Q3_K_M	0.64GB
mergekit-dare_linear-caalfar.Q3_K_L.gguf	Q3_K_L	0.68GB
mergekit-dare_linear-caalfar.IQ4_XS.gguf	IQ4_XS	0.7GB
mergekit-dare_linear-caalfar.Q4_0.gguf	Q4_0	0.72GB
mergekit-dare_linear-caalfar.IQ4_NL.gguf	IQ4_NL	0.72GB
mergekit-dare_linear-caalfar.Q4_K_S.gguf	Q4_K_S	0.72GB
mergekit-dare_linear-caalfar.Q4_K.gguf	Q4_K	0.75GB
mergekit-dare_linear-caalfar.Q4_K_M.gguf	Q4_K_M	0.75GB
mergekit-dare_linear-caalfar.Q4_1.gguf	Q4_1	0.77GB
mergekit-dare_linear-caalfar.Q5_0.gguf	Q5_0	0.83GB
mergekit-dare_linear-caalfar.Q5_K_S.gguf	Q5_K_S	0.83GB
mergekit-dare_linear-caalfar.Q5_K.gguf	Q5_K	0.85GB
mergekit-dare_linear-caalfar.Q5_K_M.gguf	Q5_K_M	0.85GB
mergekit-dare_linear-caalfar.Q5_1.gguf	Q5_1	0.89GB
mergekit-dare_linear-caalfar.Q6_K.gguf	Q6_K	0.95GB
mergekit-dare_linear-caalfar.Q8_0.gguf	Q8_0	1.23GB

Original model description:

base_model:

autoprogrammer/Llama-3.2-1B-Instruct-MGSM8K-sft1
autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear
Alelcv27/llama3.2-1b-math-code
huyhoangt2201/llama-3.2-1b-sql_finetuned_billingual_3.0_merged
meta-llama/Llama-3.2-1B
meta-llama/Llama-3.2-1B-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 DARE merge method using meta-llama/Llama-3.2-1B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml

merge_method: dare_linear
architectures: ["transformer"]
base_model: meta-llama/Llama-3.2-1B

models:
  - model: Alelcv27/llama3.2-1b-math-code
  - model: huyhoangt2201/llama-3.2-1b-sql_finetuned_billingual_3.0_merged
  - model: autoprogrammer/Llama-3.2-1B-Instruct-MGSM8K-sft1
  - model: meta-llama/Llama-3.2-1B-Instruct
  - model: autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear

parameters:
  density: 0.5
  weight: 1.0
  int8_mask: true

RichardErkhov/Hjgugugjhuhjggg_-_mergekit-dare_linear-caalfar-gguf