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

Libraries

How to use shafire/CryptoAI with Transformers:

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

pipe = pipeline("text-generation", model="shafire/CryptoAI")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("shafire/CryptoAI")
model = AutoModelForCausalLM.from_pretrained("shafire/CryptoAI")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

PEFT
How to use shafire/CryptoAI with PEFT:
```
Task type is invalid.
```
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use shafire/CryptoAI with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "shafire/CryptoAI"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "shafire/CryptoAI",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/shafire/CryptoAI

SGLang

How to use shafire/CryptoAI 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 "shafire/CryptoAI" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "shafire/CryptoAI",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "shafire/CryptoAI" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "shafire/CryptoAI",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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

shafire commited on Jun 5, 2025

Commit

0419ed9

verified ·

1 Parent(s): ac1f8a8

Update README.md

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README.md +4 -4

README.md CHANGED Viewed

@@ -20,7 +20,7 @@ widget:
 # 🧠 CryptoAI — Llama 3.1 Fine-Tuned for Finance & Autonomous Agents
-**CryptoAI** is a purpose-tuned LLM based on Meta's Llama 3.1–8B, trained on domain-specific data focused on **financial logic**, **LLM agent workflows**, and **automated task generation**. Designed to power on-chain AI agents, it's part of the broader $SOUL ecosystem for monetized intelligence.
 ---
@@ -94,7 +94,7 @@ Training Platform: 🤗 AutoTrain
 Optimized For: Conversational logic, chain-of-thought, and agent workflow simulation
 🔗 CryptoAI Ecosystem Integration
- iCryptoAIs designed to plug into SoulAI’s decentralized agent network:
 Deploy agents via Agent Forge
@@ -128,9 +128,9 @@ Not suitable for high-stakes financial decision-making out-of-the-box.
 Use as a base agent layer with real-time validation or approval loops.
 📞 Get In Touch
-Want to build agents with Soul AI or license the model?
 💥 Powering the Next Wave of Agentic Intelligence
- isn'CryptoAIt just a chatbot—it's a programmable foundation for monetized, on-chain agent workflows. Train once, deploy forever.

 # 🧠 CryptoAI — Llama 3.1 Fine-Tuned for Finance & Autonomous Agents
+**CryptoAI** is a purpose-tuned LLM based on Meta's Llama 3.1–8B, trained on domain-specific data focused on **financial logic**, **LLM agent workflows**, and **automated task generation**. Designed to power on-chain AI agents, it's part of the broader CryptoAI ecosystem for monetized intelligence.
 ---
 Optimized For: Conversational logic, chain-of-thought, and agent workflow simulation
 🔗 CryptoAI Ecosystem Integration
+ CryptoAI is designed to plug into CryptoAI’s decentralized agent network:
 Deploy agents via Agent Forge
 Use as a base agent layer with real-time validation or approval loops.
 📞 Get In Touch
+Want to build agents with CryptoAI or license the model?
 💥 Powering the Next Wave of Agentic Intelligence
+ CryptoAI isn't just a chatbot—it's a programmable foundation for monetized, on-chain agent workflows. Train once, deploy forever.