初始化项目，由ModelHub XC社区提供模型
Model: RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf Source: Original Platform
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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-model_stock-xtxndeh - GGUF
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- Model creator: https://huggingface.co/Hjgugugjhuhjggg/
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- Original model: https://huggingface.co/Hjgugugjhuhjggg/mergekit-model_stock-xtxndeh/
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [mergekit-model_stock-xtxndeh.Q2_K.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.Q2_K.gguf) | Q2_K | 0.7GB |
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| [mergekit-model_stock-xtxndeh.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.IQ3_XS.gguf) | IQ3_XS | 0.77GB |
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| [mergekit-model_stock-xtxndeh.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.IQ3_S.gguf) | IQ3_S | 0.8GB |
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| [mergekit-model_stock-xtxndeh.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.Q3_K_S.gguf) | Q3_K_S | 0.8GB |
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| [mergekit-model_stock-xtxndeh.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.IQ3_M.gguf) | IQ3_M | 0.82GB |
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| [mergekit-model_stock-xtxndeh.Q3_K.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.Q3_K.gguf) | Q3_K | 0.86GB |
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| [mergekit-model_stock-xtxndeh.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.Q3_K_M.gguf) | Q3_K_M | 0.86GB |
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| [mergekit-model_stock-xtxndeh.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.Q3_K_L.gguf) | Q3_K_L | 0.91GB |
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| [mergekit-model_stock-xtxndeh.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.IQ4_XS.gguf) | IQ4_XS | 0.96GB |
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| [mergekit-model_stock-xtxndeh.Q4_0.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.Q4_0.gguf) | Q4_0 | 0.99GB |
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| [mergekit-model_stock-xtxndeh.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.IQ4_NL.gguf) | IQ4_NL | 1.0GB |
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| [mergekit-model_stock-xtxndeh.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.Q4_K_S.gguf) | Q4_K_S | 1.0GB |
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| [mergekit-model_stock-xtxndeh.Q4_K.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.Q4_K.gguf) | Q4_K | 1.04GB |
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| [mergekit-model_stock-xtxndeh.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.Q4_K_M.gguf) | Q4_K_M | 1.04GB |
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| [mergekit-model_stock-xtxndeh.Q4_1.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.Q4_1.gguf) | Q4_1 | 1.08GB |
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| [mergekit-model_stock-xtxndeh.Q5_0.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.Q5_0.gguf) | Q5_0 | 1.17GB |
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| [mergekit-model_stock-xtxndeh.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.Q5_K_S.gguf) | Q5_K_S | 1.17GB |
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| [mergekit-model_stock-xtxndeh.Q5_K.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.Q5_K.gguf) | Q5_K | 1.2GB |
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| [mergekit-model_stock-xtxndeh.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.Q5_K_M.gguf) | Q5_K_M | 1.2GB |
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| [mergekit-model_stock-xtxndeh.Q5_1.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.Q5_1.gguf) | Q5_1 | 1.26GB |
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| [mergekit-model_stock-xtxndeh.Q6_K.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.Q6_K.gguf) | Q6_K | 1.36GB |
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| [mergekit-model_stock-xtxndeh.Q8_0.gguf](https://huggingface.co/RichardErkhov/Hjgugugjhuhjggg_-_mergekit-model_stock-xtxndeh-gguf/blob/main/mergekit-model_stock-xtxndeh.Q8_0.gguf) | Q8_0 | 1.76GB |
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Original model description:
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---
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base_model:
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- Qwen/Qwen2.5-1.5B
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- Qwen/Qwen2.5-Math-1.5B-Instruct
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- Qwen/Qwen2.5-1.5B-Instruct
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- Qwen/Qwen2.5-Math-1.5B
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- Qwen/Qwen2.5-Coder-1.5B
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- Qwen/Qwen2.5-Coder-1.5B-Instruct
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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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Qwen/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-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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* [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B)
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* [Qwen/Qwen2.5-Math-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Math-1.5B-Instruct)
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* [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
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* [Qwen/Qwen2.5-Math-1.5B](https://huggingface.co/Qwen/Qwen2.5-Math-1.5B)
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* [Qwen/Qwen2.5-Coder-1.5B](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B)
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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: model_stock
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base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
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models:
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- model: Qwen/Qwen2.5-1.5B
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- model: Qwen/Qwen2.5-Math-1.5B-Instruct
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- model: Qwen/Qwen2.5-Coder-1.5B-Instruct
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- model: Qwen/Qwen2.5-Math-1.5B
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- model: Qwen/Qwen2.5-1.5B-Instruct
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- model: Qwen/Qwen2.5-Coder-1.5B
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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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```
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