Instructions to use OccultAI/Soulblighter-24B-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use OccultAI/Soulblighter-24B-v1 with Transformers:

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

pipe = pipeline("text-generation", model="OccultAI/Soulblighter-24B-v1")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("OccultAI/Soulblighter-24B-v1")
model = AutoModelForCausalLM.from_pretrained("OccultAI/Soulblighter-24B-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 Settings

vLLM

How to use OccultAI/Soulblighter-24B-v1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "OccultAI/Soulblighter-24B-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": "OccultAI/Soulblighter-24B-v1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/OccultAI/Soulblighter-24B-v1

SGLang

How to use OccultAI/Soulblighter-24B-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 "OccultAI/Soulblighter-24B-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": "OccultAI/Soulblighter-24B-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 "OccultAI/Soulblighter-24B-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": "OccultAI/Soulblighter-24B-v1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use OccultAI/Soulblighter-24B-v1 with Docker Model Runner:
```
docker model run hf.co/OccultAI/Soulblighter-24B-v1
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Soulblighter 24B v1

This is a creative merge made using the karcher method. It has some refusals but should be easy to ablate or jailbreak if needed.

Similar to the StormSeeker merge, except this also blends Magistral finetunes. You can probably enable "reasoning mode" (untested).

Impish Magic had to be excluded due to various issues (tokenizers, vocab_size, etc.) so Allura's Angel was added in place.

architecture: MistralForCausalLM
merge_method: karcher
models:
  - model: B:\hub\!BeaverAI_Fallen-Mistral-Small-3.1-24B-v1e_textonly # Q0F Pass
  - model: B:\hub\!models--aixonlab--Eurydice-24b-v3.5 # Q0F Pass
  - model: B:\hub\!models--allura-forge--ms32-final-TEXTONLY # Q0F Pass
  - model: B:\hub\!models--CrucibleLab--M3.2-24B-Loki-V2 # Q0F Pass
  - model: B:\hub\!models--LatitudeGames--Hearthfire-24B # Q0F Pass
  - model: B:\hub\!models--PocketDoc--Dans-PersonalityEngine-V1.3.0-24b # Q0F Fail
  - model: B:\hub\!models--ReadyArt--Dark-Nexus-24B-v2.0 # Q0F Pass
  # - model: B:\hub\!models--SicariusSicariiStuff--Impish_Magic_24B\fixed # Q0F Pass
  - model: B:\hub\!models--TheDrummer--Precog-24B-v1 # Q0F Pass
  - model: B:\hub\!models--trashpanda-org--MS3.2-24B-Mullein-v2 # Q0F Fail (but still impressive)
  - model: B:\hub\!models--zerofata--MS3.2-PaintedFantasy-v3-24B # Q0F Fail # v2 pass # v1 fail
dtype: float32
out_dtype: bfloat16
parameters:
tokenizer:
  source: union
chat_template: auto
name: Soulblighter-24B-v1