How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Inv/NoroIchiChat-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Inv/NoroIchiChat-7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/Inv/NoroIchiChat-7B
Quick Links

NoroIchiChat-7B

NoroIchiChat-7B is a merge of the following models using mergekit:

🧩 Configuration

models:
  - model: SanjiWatsuki/Kunoichi-DPO-v2-7B   
  - model: openchat/openchat-3.5-0106
    parameters:
      weight: 0.4
      density: 0.52
  - model: NeverSleep/Noromaid-7B-0.4-DPO
    parameters:
      weight: 0.3
      density: 0.42
merge_method: dare_ties
base_model: SanjiWatsuki/Kunoichi-DPO-v2-7B
tokenizer_source: union
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16
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Safetensors
Model size
7B params
Tensor type
BF16
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