Instructions to use dougeeai/AtomicFission-7B-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use dougeeai/AtomicFission-7B-v1 with Transformers:

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

pipe = pipeline("text-generation", model="dougeeai/AtomicFission-7B-v1")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("dougeeai/AtomicFission-7B-v1")
model = AutoModelForCausalLM.from_pretrained("dougeeai/AtomicFission-7B-v1")
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]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use dougeeai/AtomicFission-7B-v1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "dougeeai/AtomicFission-7B-v1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "dougeeai/AtomicFission-7B-v1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/dougeeai/AtomicFission-7B-v1

SGLang

How to use dougeeai/AtomicFission-7B-v1 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 "dougeeai/AtomicFission-7B-v1" \
    --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": "dougeeai/AtomicFission-7B-v1",
		"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 "dougeeai/AtomicFission-7B-v1" \
        --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": "dougeeai/AtomicFission-7B-v1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use dougeeai/AtomicFission-7B-v1 with Docker Model Runner:
```
docker model run hf.co/dougeeai/AtomicFission-7B-v1
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

AtomicFission-7B-v1

A specialized 7B parameter model fine-tuned on publicly available nuclear data.

Model Description

☢️ AtomicFission-7B-v1 is a Mistral-7B-based model fine-tuned on 200MB of public nuclear reactor documentation. It provides specialized knowledge for nuclear engineering topics including reactor operations, safety systems, and SMR designs.

⚠️☢️⚠️ Important Disclaimer

This model is for educational and research purposes only. It should NOT be used for:

Operational nuclear facility decisions
Safety-critical applications
Regulatory compliance
Professional engineering work
Any production use cases

This is an independent personal project not affiliated with any government agency, company, or employer.

Always consult qualified nuclear professionals and official documentation for any real-world nuclear applications.

Training Data

All training data is from publicly available sources including:

NRC Reactor Concepts Training Manuals
DOE Fundamentals Handbooks
Publicly available reactor technical manuals
Publicly available SMR documentation
Publicly available research reactor operation documents

Usage

For best results, use a simple question-answer format. The model excels at:

Technical nuclear concepts
Reactor system descriptions
Safety and operational procedures
Nuclear engineering terminology

Example format:

Question: [Your question]
Answer:

Limitations

The model may hallucinate (dates, operational status, definitions)
Best for technical nuclear questions rather than conversation
Always verify critical information with authoritative sources

GGUF Versions

Quantized versions available at: AtomicFission-7B-v1-GGUF

Downloads last month: 17

Safetensors

Model size

7B params

Tensor type

BF16

Model tree for dougeeai/AtomicFission-7B-v1

Base model

mistralai/Mistral-7B-v0.3

Finetuned

mistralai/Mistral-7B-Instruct-v0.3

Finetuned

(485)

this model

Quantizations

3 models