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Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

[Discord](https://discord.gg/pvy7H8DZMG)

[Request more models](https://github.com/RichardErkhov/quant_request)


mergekit-ties-xzdpqzs - AWQ
- Model creator: https://huggingface.co/Hjgugugjhuhjggg/
- Original model: https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-xzdpqzs/




Original model description:
---
base_model:
- huyhoangt2201/llama-3.2-1b-sql_finetuned_billingual_3.0_merged
- jayavibhav/llama3.2_1b_CoT
- huyhoangt2201/llama-3.2-1b-chat-sql3-merged
- autoprogrammer/Llama-3.2-1B-Instruct-MGSM8K-sft1
- Alelcv27/llama3.2-1b-math-code
- unsloth/Llama-3.2-1B-Instruct-bnb-4bit
- meta-llama/Llama-3.2-1B
- student-abdullah/Llama3.2-1B_Hinglish-Medicine-Dataset_Finetuning_28-09
- meta-llama/Llama-3.2-1B-Instruct
- MLking2/llama-3.2-1b-medical
- autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear
library_name: transformers
tags:
- mergekit
- merge

---
# merge

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) as a base.

### Models Merged

The following models were included in the merge:
* [huyhoangt2201/llama-3.2-1b-sql_finetuned_billingual_3.0_merged](https://huggingface.co/huyhoangt2201/llama-3.2-1b-sql_finetuned_billingual_3.0_merged)
* [jayavibhav/llama3.2_1b_CoT](https://huggingface.co/jayavibhav/llama3.2_1b_CoT)
* [huyhoangt2201/llama-3.2-1b-chat-sql3-merged](https://huggingface.co/huyhoangt2201/llama-3.2-1b-chat-sql3-merged)
* [autoprogrammer/Llama-3.2-1B-Instruct-MGSM8K-sft1](https://huggingface.co/autoprogrammer/Llama-3.2-1B-Instruct-MGSM8K-sft1)
* [Alelcv27/llama3.2-1b-math-code](https://huggingface.co/Alelcv27/llama3.2-1b-math-code)
* [unsloth/Llama-3.2-1B-Instruct-bnb-4bit](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-bnb-4bit)
* [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B)
* [student-abdullah/Llama3.2-1B_Hinglish-Medicine-Dataset_Finetuning_28-09](https://huggingface.co/student-abdullah/Llama3.2-1B_Hinglish-Medicine-Dataset_Finetuning_28-09)
* [MLking2/llama-3.2-1b-medical](https://huggingface.co/MLking2/llama-3.2-1b-medical)
* [autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear](https://huggingface.co/autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: ties
architectures: ["transformer"]
base_model: meta-llama/Llama-3.2-1B-Instruct

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
  - model: meta-llama/Llama-3.2-1B
  - model: unsloth/Llama-3.2-1B-Instruct-bnb-4bit
  - model: MLking2/llama-3.2-1b-medical
  - model: jayavibhav/llama3.2_1b_CoT
  - model: huyhoangt2201/llama-3.2-1b-chat-sql3-merged
  - model: student-abdullah/Llama3.2-1B_Hinglish-Medicine-Dataset_Finetuning_28-09

parameters:
  density: 0.5
  weight: 1.0
  int8_mask: true
  normalize: true
```