Instructions to use reaperdoesntknow/DualMind_Methodolgy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use reaperdoesntknow/DualMind_Methodolgy with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="reaperdoesntknow/DualMind_Methodolgy")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("reaperdoesntknow/DualMind_Methodolgy", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use reaperdoesntknow/DualMind_Methodolgy with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "reaperdoesntknow/DualMind_Methodolgy"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "reaperdoesntknow/DualMind_Methodolgy",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/reaperdoesntknow/DualMind_Methodolgy

SGLang

How to use reaperdoesntknow/DualMind_Methodolgy with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "reaperdoesntknow/DualMind_Methodolgy" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "reaperdoesntknow/DualMind_Methodolgy",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "reaperdoesntknow/DualMind_Methodolgy" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "reaperdoesntknow/DualMind_Methodolgy",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use reaperdoesntknow/DualMind_Methodolgy with Docker Model Runner:
```
docker model run hf.co/reaperdoesntknow/DualMind_Methodolgy
```

reaperdoesntknow commited on 12 days ago

Commit

132ff96

verified ·

1 Parent(s): d6eb91b

keeper: refresh 2026-05-19

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README.md +1 -1

README.md CHANGED Viewed

@@ -234,7 +234,7 @@ All models, training code, and this methodology are released under Apache 2.0.
 *Convergent Intelligence LLC: Research Division*
 *"Where classical analysis fails to see, we begin."*
-<!-- cix-keeper-ts:2026-05-18T13:15:34Z -->
 <!-- card-refresh: 2026-03-30 -->
 ---

 *Convergent Intelligence LLC: Research Division*
 *"Where classical analysis fails to see, we begin."*
+<!-- cix-keeper-ts:2026-05-19T13:15:36Z -->
 <!-- card-refresh: 2026-03-30 -->
 ---