58 lines
1.8 KiB
Markdown
58 lines
1.8 KiB
Markdown
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---
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base_model:
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- cognitivecomputations/dolphin-2.9.3-qwen2-1.5b
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- trollek/Qwen2-1.5B-Instruct-Abliterated
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- M4-ai/Hercules-5.0-Qwen2-1.5B
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- Replete-AI/Replete-Coder-Qwen2-1.5b
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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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license: apache-2.0
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language:
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- en
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---
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# CleverQwen2-1.5B
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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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It has grown by about 300M parameters and I don't know why. I would like to know though. It works as expexted - **amazing** - I just can't see any reason for the Qwen2 models to gain parameters when merged.
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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 [trollek/Qwen2-1.5B-Instruct-Abliterated](https://huggingface.co/trollek/Qwen2-1.5B-Instruct-Abliterated) 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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* [cognitivecomputations/dolphin-2.9.3-qwen2-1.5b](https://huggingface.co/cognitivecomputations/dolphin-2.9.3-qwen2-1.5b)
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* [M4-ai/Hercules-5.0-Qwen2-1.5B](https://huggingface.co/M4-ai/Hercules-5.0-Qwen2-1.5B)
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* [Replete-AI/Replete-Coder-Qwen2-1.5b](https://huggingface.co/Replete-AI/Replete-Coder-Qwen2-1.5b)
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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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models:
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- model: Replete-AI/Replete-Coder-Qwen2-1.5b
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- model: M4-ai/Hercules-5.0-Qwen2-1.5B
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- model: cognitivecomputations/dolphin-2.9.3-qwen2-1.5b
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merge_method: model_stock
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base_model: trollek/Qwen2-1.5B-Instruct-Abliterated
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architecture: qwen2
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dtype: bfloat16
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```
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## Quants
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- [trollek/CleverQwen2-1.5B-GGUF](https://huggingface.co/trollek/CleverQwen2-1.5B-GGUF)
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### Ollama
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```bash
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ollama pull trollek/cleverqwen2:1.5b-q4_k_s
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ollama pull trollek/cleverqwen2:1.5b-q5_k_s
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ollama pull trollek/cleverqwen2:1.5b-q6_k
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```
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