Image-Text-to-Text
Transformers
Safetensors
English
gemma4
all genres
conversational
creative
creative writing
della
fiction
fiction story
fiction writing
horror
Merge
mergekit
mergekit-exp
aura
plot generation
roleplay
roleplaying
romance
rp
scene continue
science fiction
story
story generation
storytelling
sub-plot generation
swearing
vivid prosing
vivid writing
writing
Instructions to use EldritchLabs/Aura-Prototype-26B-A4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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)# pip install -U transformers accelerate # 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=256) 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
Download mergekit_config.yml from EldritchLabs/Aura-Prototype-26B-A4B: direct link, hf CLI and curl.
- Browser
- Download file 1.88 kB
-
https://huggingface.co/EldritchLabs/Aura-Prototype-26B-A4B/resolve/main/mergekit_config.yml
- Command line
-
hf download hf://EldritchLabs/Aura-Prototype-26B-A4B/mergekit_config.yml
-
curl -L -o mergekit_config.yml https://huggingface.co/EldritchLabs/Aura-Prototype-26B-A4B/resolve/main/mergekit_config.yml
1.88 kB
| 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 |