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README.md
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Quantization made by Richard Erkhov.
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[Github](https://github.com/RichardErkhov)
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[Discord](https://discord.gg/pvy7H8DZMG)
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[Request more models](https://github.com/RichardErkhov/quant_request)
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mergekit-ties-xzdpqzs - AWQ
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- Model creator: https://huggingface.co/Hjgugugjhuhjggg/
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- Original model: https://huggingface.co/Hjgugugjhuhjggg/mergekit-ties-xzdpqzs/
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Original model description:
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---
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base_model:
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- huyhoangt2201/llama-3.2-1b-sql_finetuned_billingual_3.0_merged
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- jayavibhav/llama3.2_1b_CoT
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- huyhoangt2201/llama-3.2-1b-chat-sql3-merged
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- autoprogrammer/Llama-3.2-1B-Instruct-MGSM8K-sft1
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- Alelcv27/llama3.2-1b-math-code
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- unsloth/Llama-3.2-1B-Instruct-bnb-4bit
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- meta-llama/Llama-3.2-1B
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- student-abdullah/Llama3.2-1B_Hinglish-Medicine-Dataset_Finetuning_28-09
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- meta-llama/Llama-3.2-1B-Instruct
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- MLking2/llama-3.2-1b-medical
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- autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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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.
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### Models Merged
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The following models were included in the merge:
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* [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)
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* [jayavibhav/llama3.2_1b_CoT](https://huggingface.co/jayavibhav/llama3.2_1b_CoT)
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* [huyhoangt2201/llama-3.2-1b-chat-sql3-merged](https://huggingface.co/huyhoangt2201/llama-3.2-1b-chat-sql3-merged)
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* [autoprogrammer/Llama-3.2-1B-Instruct-MGSM8K-sft1](https://huggingface.co/autoprogrammer/Llama-3.2-1B-Instruct-MGSM8K-sft1)
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* [Alelcv27/llama3.2-1b-math-code](https://huggingface.co/Alelcv27/llama3.2-1b-math-code)
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* [unsloth/Llama-3.2-1B-Instruct-bnb-4bit](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-bnb-4bit)
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* [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B)
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* [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)
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* [MLking2/llama-3.2-1b-medical](https://huggingface.co/MLking2/llama-3.2-1b-medical)
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* [autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear](https://huggingface.co/autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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merge_method: ties
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architectures: ["transformer"]
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base_model: meta-llama/Llama-3.2-1B-Instruct
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models:
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- model: Alelcv27/llama3.2-1b-math-code
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- model: huyhoangt2201/llama-3.2-1b-sql_finetuned_billingual_3.0_merged
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- model: autoprogrammer/Llama-3.2-1B-Instruct-MGSM8K-sft1
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- model: meta-llama/Llama-3.2-1B-Instruct
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- model: autoprogrammer/Llama-3.2-1B-Instruct-medmcqa-zh-linear
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- model: meta-llama/Llama-3.2-1B
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- model: unsloth/Llama-3.2-1B-Instruct-bnb-4bit
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- model: MLking2/llama-3.2-1b-medical
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- model: jayavibhav/llama3.2_1b_CoT
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- model: huyhoangt2201/llama-3.2-1b-chat-sql3-merged
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- model: student-abdullah/Llama3.2-1B_Hinglish-Medicine-Dataset_Finetuning_28-09
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parameters:
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density: 0.5
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weight: 1.0
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int8_mask: true
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normalize: true
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```
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