How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Novaciano/Pyromancer-3.2-1B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Novaciano/Pyromancer-3.2-1B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'
Use Docker
docker model run hf.co/Novaciano/Pyromancer-3.2-1B
Quick Links

Pyromancer 3.2 1B

image/png

Merge Details

Merge Method

This model was merged using the Arcee Fusion merge method using Novaciano/qp-3.2-1B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:



# Author: Dr. Novaciano
# Objective: Uncensored TEST Emotional 3.2 AI Model
# PROJECT: Pyromancer-3.2-1B

dtype: float32
out_dtype: bfloat16
merge_method: arcee_fusion
base_model: Novaciano/qp-3.2-1B

models:
  - model: Novaciano/qp-3.2-1B
    parameters:
      weight:
        - filter: attention
          value: 1.2
        - filter: mlp
          value: 1.3
        - value: 1

  - model: syvai/emotion-reasoning-1b
    parameters:
      weight:
        - filter: lm_head
          value: 0.2
        - filter: attention
          value: 0.5
        - value: 0.4

tie_word_embeddings: true
tie_output_embeddings: true


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