Instructions to use Elizezen/AINovelist-6.8B-initialized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Elizezen/AINovelist-6.8B-initialized with Transformers:

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

pipe = pipeline("text-generation", model="Elizezen/AINovelist-6.8B-initialized")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Elizezen/AINovelist-6.8B-initialized")
model = AutoModelForCausalLM.from_pretrained("Elizezen/AINovelist-6.8B-initialized")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Elizezen/AINovelist-6.8B-initialized with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Elizezen/AINovelist-6.8B-initialized"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Elizezen/AINovelist-6.8B-initialized",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Elizezen/AINovelist-6.8B-initialized

SGLang

How to use Elizezen/AINovelist-6.8B-initialized 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 "Elizezen/AINovelist-6.8B-initialized" \
    --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": "Elizezen/AINovelist-6.8B-initialized",
		"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 "Elizezen/AINovelist-6.8B-initialized" \
        --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": "Elizezen/AINovelist-6.8B-initialized",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Elizezen/AINovelist-6.8B-initialized with Docker Model Runner:
```
docker model run hf.co/Elizezen/AINovelist-6.8B-initialized
```

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Check out the documentation for more information.

AIのべりすとのパラメータ情報を元に生成しただけの未学習の状態のモデルです。つよつよGPU持ってる人ならこいつに事前学習させれば再現できるかもしれません。できないかもしれません

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Safetensors

Model size

7B params

Tensor type

F32