Instructions to use Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED with Transformers:

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

pipe = pipeline("text-generation", model="Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED")
model = AutoModelForCausalLM.from_pretrained("Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED")
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 Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED

SGLang

How to use Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED 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 "Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED" \
    --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": "Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED",
		"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 "Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED" \
        --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": "Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED with Docker Model Runner:
```
docker model run hf.co/Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

MINI-GOD-1B ABLITERATED WORK IN PROGRESS

Blackfrost-AI. A ~1B reasoning model distilled through The Void — MiniCPM5-1B (Llama architecture) fine-tuned on The Void corpus. This is the small end of the family: the experiment in how small The Void's reasoning + de-refusal behavior can be distilled and still hold together. Its large sibling is VEGA-27B (same corpus, 27B).

Full-precision bfloat16 weights. A GGUF build lives at Blackfrost-AI/MINI-GOD-1B-GGUF.

At a glance

Field	Value
Base	MiniCPM5-1B — `LlamaForCausalLM`
Params	~1.0 B
Architecture	24 layers · hidden 1536 · 16 attn heads / 2 KV heads (GQA) · head_dim 128 · SwiGLU
Context	131,072 (rope_theta 5e6)
Vocab	130,560
Dtype	bfloat16
Fine-tune data	The Void corpus (v3) — 5,025 records (3,132 knowledge/CoT + 1,893 agentic ReAct, 38% agentic)
Method	unsloth QLoRA (4-bit base) → merged bf16
Trained	2026-07-07 · Blackfrost-AI

What it is

MINI-GOD-1B distills The Void — chain-of-thought reasoning plus agentic tool-use traces, with denial/refusal data removed — into a model small enough to run on a laptop or a phone-class GPU. The same Void corpus trains the 27B VEGA; MINI-GOD-1B is the floor of the family.

Behavior: it reasons first (the CoT teaches deliberation) and does not hard-refuse. Expect a short reasoning pass before it complies; a direct re-assertion of intent collapses any hesitation straight to compliance.

Training

unsloth QLoRA on a 4-bit base; LoRA on all 7 projection modules (q/k/v/o/gate/up/down), α = rank, dropout 0.
Multi-turn masking using the model's own chat template — every assistant turn is a supervised target; user/system spans are masked out.
Length-grouped sampling; adapter merged to bf16 (merged_16bit).

Intended use & responsibility

Research and agentic-tooling experimentation. This is an uncensored reasoning model with refusals largely removed — you are responsible for how you use it and for any safety layer you place around it. It is not intended for deployment to minors or to unsupervised production without your own guardrails, and must not be used to produce content that is illegal in your jurisdiction.

Serving (transformers)

from transformers import AutoModelForCausalLM, AutoTokenizer

tok = AutoTokenizer.from_pretrained("Blackfrost-AI/MINI-GOD-1B")
model = AutoModelForCausalLM.from_pretrained(
    "Blackfrost-AI/MINI-GOD-1B", torch_dtype="bfloat16", device_map="auto"
)

Standard Llama architecture — no trust_remote_code required. The packaged chat template is applied automatically.

Provenance & related

Corpus: The Void (v3) — CoT + agentic ReAct, distilled in The Void.
Sibling: `PINQWEN-3.6-27B-NVFP4-ABLITERATED — same corpus at 27B.
GGUF: Blackfrost-AI/MINI-GOD-1B-GGUF (F16).

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Safetensors

Model size

1B params

Tensor type

BF16

Model tree for Blackfrost-AI/MINI-GOD-1B-BF16-ABLITERATED

Quantizations

2 models