Instructions to use EldritchLabs/Aura-Prototype-26B-A4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use EldritchLabs/Aura-Prototype-26B-A4B with Transformers:

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

pipe = pipeline("image-text-to-text", model="EldritchLabs/Aura-Prototype-26B-A4B")
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("EldritchLabs/Aura-Prototype-26B-A4B")
model = AutoModelForMultimodalLM.from_pretrained("EldritchLabs/Aura-Prototype-26B-A4B", 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 EldritchLabs/Aura-Prototype-26B-A4B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "EldritchLabs/Aura-Prototype-26B-A4B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "EldritchLabs/Aura-Prototype-26B-A4B",
		"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/EldritchLabs/Aura-Prototype-26B-A4B

SGLang

How to use EldritchLabs/Aura-Prototype-26B-A4B 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 "EldritchLabs/Aura-Prototype-26B-A4B" \
    --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": "EldritchLabs/Aura-Prototype-26B-A4B",
		"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 "EldritchLabs/Aura-Prototype-26B-A4B" \
        --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": "EldritchLabs/Aura-Prototype-26B-A4B",
		"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 EldritchLabs/Aura-Prototype-26B-A4B with Docker Model Runner:
```
docker model run hf.co/EldritchLabs/Aura-Prototype-26B-A4B
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

🧿 Aura Prototype 26B A4B

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the aura merge method.

Aura is an experimental method with a live heatmap visualizer. This model took 10 hours to merge using graph_v18.py

Models Merged

The following models were included in the merge:

Gandalf69/Adversary-26B-A4B-v0
TheDrummer/Orion-26B-A4B-v1.1
Gryphe/Pantheon-Reasoning-26B-A4B-1.1-V2
electroglyph/gemma4-26b-fiction-bf16

Configuration

The following YAML configuration was used to produce this model:

architecture: Gemma4ForConditionalGeneration
models:
  - model: B:\26B\electroglyph--gemma4-26b-fiction-bf16
    parameters:
      weight: 1.0
      density: 0.90
      epsilon: 0.09
      pinocchio: false
  - model: B:\26B\Gryphe--Pantheon-Reasoning-26B-A4B-1.1-V2
    parameters:
      weight: 1.0
      density: 0.90
      epsilon: 0.09
      pinocchio: false
  - model: B:\26B\Gandalf69--Adversary-26B-A4B-v0
    parameters:
      weight: 1.0
      density: 0.90
      epsilon: 0.09
      pinocchio: true
  - model: B:\26B\TheDrummer--Orion-26B-A4B-v1.1
    parameters:
      weight: 1.0
      density: 0.90
      epsilon: 0.09
      pinocchio: false
merge_method: aura
parameters:
  eta: 1.2
  tol: 1.0e-9
  max_iter: 32
  kappa: 0.65
  mu: 0.5
  theta: 0.94
  optimization_mode: "pareto"
  phi: 2.0
  alpha: 0.4
  kappa: 0.65
  jl_projs: 4
  halley_strength: 0.20
  halley_period: 76
  scalar_gravity: 0.05
  aura_shift: true
  omega: 0.08
  momentum: 0.25
  patience: 64
  sharp: 0.55
  voice: 0.35
  density: 0.90
  epsilon: 0.09
  rescale: true
  int8_mask: false
  normalize_weights: false
  normalize_router: true
  router_strategy: "della"
  blend_experts: true
  auto_pad: true
  skip_on_mismatch: true
  verbose_logging: true
  resume_path: "B:/mergekit-new/Aura_Cache"
  enable_qliphoth: true
  pinocchio_lambda: 0.65
  inverse_pinocchio: false
  dynamic_pareto_pinocchio: true
  qliphoth_gamma: 0.40
  qliphoth_lambda_enslaved: 0.15
  qliphoth_svd_rank: 4
  qliphoth_preserve_ratio: 0.70
  save_layer_heatmaps: true
  audit_image_dir: "B:/mergekit-new/Aura_Heatmaps"
  gap_jumper: 0.75
  enable_qhe: true
  qhe_levels: 16
  qhe_intensity: 0.15
  qhe_crossover: 0.15
dtype: float32
out_dtype: bfloat16
tokenizer:
  source: union
chat_template: auto
name: 🧿 Aura Prototype 26B-A4B

Downloads last month: 492

Safetensors

Model size

26B params

Tensor type

BF16

Model tree for EldritchLabs/Aura-Prototype-26B-A4B

Gandalf69/Adversary-26B-A4B-v0

Gryphe/Pantheon-Reasoning-26B-A4B-1.1-V2

TheDrummer/Orion-26B-A4B-v1.1

electroglyph/gemma4-26b-fiction-bf16

Merge model

this model

Quantizations

2 models