Instructions to use dark-pen/apodex-1.0-0.8B-SFT-rebased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use dark-pen/apodex-1.0-0.8B-SFT-rebased with Transformers:

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

pipe = pipeline("image-text-to-text", model="dark-pen/apodex-1.0-0.8B-SFT-rebased")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("dark-pen/apodex-1.0-0.8B-SFT-rebased")
model = AutoModelForMultimodalLM.from_pretrained("dark-pen/apodex-1.0-0.8B-SFT-rebased", device_map="auto")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.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(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use dark-pen/apodex-1.0-0.8B-SFT-rebased with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "dark-pen/apodex-1.0-0.8B-SFT-rebased"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "dark-pen/apodex-1.0-0.8B-SFT-rebased",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/dark-pen/apodex-1.0-0.8B-SFT-rebased

SGLang

How to use dark-pen/apodex-1.0-0.8B-SFT-rebased 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 "dark-pen/apodex-1.0-0.8B-SFT-rebased" \
    --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": "dark-pen/apodex-1.0-0.8B-SFT-rebased",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

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 "dark-pen/apodex-1.0-0.8B-SFT-rebased" \
        --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": "dark-pen/apodex-1.0-0.8B-SFT-rebased",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use dark-pen/apodex-1.0-0.8B-SFT-rebased with Docker Model Runner:
```
docker model run hf.co/dark-pen/apodex-1.0-0.8B-SFT-rebased
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

apodex-1.0-0.8B-SFT-rebased

apodex-1.0-0.8B-SFT-rebased is a merge of the following models using LazyMergekit:

🧩 Configuration

models:
  - model: Qwen/Qwen3.5-0.8B-Base
  - model: apodex/Apodex-1.0-0.8B-SFT
merge_method: arcee_fusion
base_model: Qwen/Qwen3.5-0.8B-Base
dtype: bfloat16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "dark-pen/apodex-1.0-0.8B-SFT-rebased"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])

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Safetensors

Model size

0.9B params

Tensor type

F32

Model tree for dark-pen/apodex-1.0-0.8B-SFT-rebased

Base model

Qwen/Qwen3.5-0.8B-Base

Finetuned

(91)

this model

Quantizations

2 models