Instructions to use sthenno-com/miscii-14b-0218 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use sthenno-com/miscii-14b-0218 with Transformers:

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

pipe = pipeline("text-generation", model="sthenno-com/miscii-14b-0218")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("sthenno-com/miscii-14b-0218")
model = AutoModelForCausalLM.from_pretrained("sthenno-com/miscii-14b-0218", device_map="auto")
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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use sthenno-com/miscii-14b-0218 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "sthenno-com/miscii-14b-0218"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "sthenno-com/miscii-14b-0218",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/sthenno-com/miscii-14b-0218

SGLang

How to use sthenno-com/miscii-14b-0218 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 "sthenno-com/miscii-14b-0218" \
    --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": "sthenno-com/miscii-14b-0218",
		"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 "sthenno-com/miscii-14b-0218" \
        --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": "sthenno-com/miscii-14b-0218",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use sthenno-com/miscii-14b-0218 with Docker Model Runner:
```
docker model run hf.co/sthenno-com/miscii-14b-0218
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

miscii-14b-0218

“I think there’s a reason I’m a shadow, but she looks like an angel.” — Viyella’s Memory, excerpted from The Angel’s Message by Laur (2018).

Technical Specifications

miscii-14b-0218 is a fine-tuned model based on Qwen/Qwen2.5-14B-Instruct (Qwen Team, 2024). It is developed using Arcee’s MergeKit (Goddard et al. 2024), employing the Model Stock merge method (Jang, Yun, and Han 2024). The integration utilized tempesthenno-ppo-enchanted as the base model.

The configuration parameters for generating miscii-14b-0218 are documented below:

name: miscii-14b-0218
merge_method: model_stock
base_model: tempesthenno-ppo-enchanted
tokenizer:
  source: base
dtype: float32
out_dtype: bfloat16
parameters:
  int8_mask: true
  normalize: true
  rescale: false
models:
  - model: tempesthenno-sft-0218-ckpt60
  - model: tempesthenno-sft-0218-ckpt80
  - model: tempesthenno-sft-0218-stage2-ckpt40
  - model: tempesthenno-sft-0218-stage2-ckpt50
  - model: tempesthenno-sft-0218-stage2-ckpt60

Citation

If you find miscii-14b-0218 useful for your research and applications, please use the following citation formats:

BibTeX

@misc{sthenno_2025,
    author       = { Sthenno and Jiayu Wang },
    title        = { miscii-14b-0218 (Revision 6f78859) },
    year         = 2025,
    url          = { https://huggingface.co/sthenno-com/miscii-14b-0218 },
    doi          = { 10.57967/hf/7297 },
    publisher    = { Hugging Face }
}