metadata
base_model:
- cognitivecomputations/dolphin-2.9.3-qwen2-1.5b
- trollek/Qwen2-1.5B-Instruct-Abliterated
- M4-ai/Hercules-5.0-Qwen2-1.5B
- Replete-AI/Replete-Coder-Qwen2-1.5b
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
language:
- en
CleverQwen2-1.5B
This is a merge of pre-trained language models created using mergekit.
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.
Merge Details
Merge Method
This model was merged using the Model Stock merge method using trollek/Qwen2-1.5B-Instruct-Abliterated as a base.
Models Merged
The following models were included in the merge:
- cognitivecomputations/dolphin-2.9.3-qwen2-1.5b
- M4-ai/Hercules-5.0-Qwen2-1.5B
- Replete-AI/Replete-Coder-Qwen2-1.5b
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Replete-AI/Replete-Coder-Qwen2-1.5b
- model: M4-ai/Hercules-5.0-Qwen2-1.5B
- model: cognitivecomputations/dolphin-2.9.3-qwen2-1.5b
merge_method: model_stock
base_model: trollek/Qwen2-1.5B-Instruct-Abliterated
architecture: qwen2
dtype: bfloat16
Quants
Ollama
ollama pull trollek/cleverqwen2:1.5b-q4_k_s
ollama pull trollek/cleverqwen2:1.5b-q5_k_s
ollama pull trollek/cleverqwen2:1.5b-q6_k