DareModels/MiniCPM5-1B-Hermes-Agentic

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

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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

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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