This model is a test model not the final product!
I will be experimenting then releasing the production ready one with (QAT) quantization aware training
base_model:
- Healshsj/MiniCPM5-1B-Reasoning-Agent-Ultra
- hudsongouge/minicpm5-1B-GLM-5.2-Agentic-v9
- ewinregirgojr/MiniCPM5-1B-Agentic-Tooluse-v3-Merged-FP16
- MC7ever/MiniCPM5-1B-Agent-safetensors
- saidutta69/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking-heretic
- ktruestory/minicpm5-1b-hermes-toolhv1 library_name: transformers tags:
- mergekit
- merge
MiniCPMv2
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Breadcrumbs with TIES merge method using saidutta69/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking-heretic as a base.
Models Merged
The following models were included in the merge:
- Healshsj/MiniCPM5-1B-Reasoning-Agent-Ultra
- hudsongouge/minicpm5-1B-GLM-5.2-Agentic-v9
- ewinregirgojr/MiniCPM5-1B-Agentic-Tooluse-v3-Merged-FP16
- MC7ever/MiniCPM5-1B-Agent-safetensors
- ktruestory/minicpm5-1b-hermes-toolhv1
Configuration
The following YAML configuration was used to produce this model:
merge_method: breadcrumbs_ties
base_model: saidutta69/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking-heretic
models:
- model: saidutta69/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking-heretic
- model: ewinregirgojr/MiniCPM5-1B-Agentic-Tooluse-v3-Merged-FP16
parameters:
weight: 0.6
density: 0.01
- model: ktruestory/minicpm5-1b-hermes-toolhv1
parameters:
weight: 0.7
density: 0.01
- model: MC7ever/MiniCPM5-1B-Agent-safetensors
parameters:
weight: 0.45
density: 0.01
- model: hudsongouge/minicpm5-1B-GLM-5.2-Agentic-v9
parameters:
weight: 0.35
density: 0.01
- model: Healshsj/MiniCPM5-1B-Reasoning-Agent-Ultra
parameters:
weight: 0.2
density: 0.01
dtype: bfloat16