Instructions to use DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored with Transformers:

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

pipe = pipeline("text-generation", model="DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored")
model = AutoModelForCausalLM.from_pretrained("DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored")
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 DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored

SGLang

How to use DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored 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 "DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored" \
    --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": "DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored",
		"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 "DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored" \
        --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": "DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Studio

How to use DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored",
    max_seq_length=2048,
)

Docker Model Runner
How to use DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored with Docker Model Runner:
```
docker model run hf.co/DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored

Fine tune of EXPANDED "LFM2-8B-A1B" to "LFM2-12B-A1B" (almost 50%, custom scripting) using Unsloth using custom dataset(s), 128k context in 16 bit precision.

Expands base model from 24 to 32 layers, 256 to 342 tensors to give the model both more knowledge and brainpower.

Trained on Deckard II [5 datasets, in house]:

Excels at long form creative generation. Very intelligent too.

This is full uncensored version (uncensored first, trained second)

This model is a sparse mixture of experts model (32) with 4 experts activated.

Speed exceeds 50-100 t/s on CPU // 200 t/s on most cards // 400 t/s + on 5090 at QUANT Q6K [4 experts].

One example generation below.

Can also be used on phones // mobile devices.

IN HOUSE BENCHMARKS [by Nightmedia]:

         arc-c arc/e boolq hswag obkqa piqa  wino

LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored
bf16   	 0.469,0.612,0.782,0.676,0.412,0.743,0.610

---

BASE UNTUNED MODEL:

LFM2-8B-A1B
bf16     0.464,0.583,0.826,0.624,0.398,0.717,0.575
mxfp8    0.460,0.575,0.829,0.624,0.394,0.711,0.567

EXAMPLE GENERATION: [4 experts, Q6K]

Downloads last month: 297

Safetensors

Model size

11B params

Tensor type

BF16

F32

Model tree for DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored

Base model

LiquidAI/LFM2-8B-A1B

Finetuned

(28)

this model

Quantizations

2 models

Collections including DavidAU/LFM2-12B-A1B-SpeedDemon-The-Deckard-II-HERETIC-Uncensored