Text Generation
Transformers
PyTorch
English
burt-imma
custom-architecture
matrix-memory
equilibrium-propagation
cifg
sovereign
snapkitty
no-backprop
formal-verification
lean4
Instructions to use SNAPKITTYWEST/burt-imma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SNAPKITTYWEST/burt-imma with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="SNAPKITTYWEST/burt-imma")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("SNAPKITTYWEST/burt-imma", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use SNAPKITTYWEST/burt-imma with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SNAPKITTYWEST/burt-imma" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SNAPKITTYWEST/burt-imma", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/SNAPKITTYWEST/burt-imma
- SGLang
How to use SNAPKITTYWEST/burt-imma 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 "SNAPKITTYWEST/burt-imma" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SNAPKITTYWEST/burt-imma", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "SNAPKITTYWEST/burt-imma" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SNAPKITTYWEST/burt-imma", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use SNAPKITTYWEST/burt-imma with Docker Model Runner:
docker model run hf.co/SNAPKITTYWEST/burt-imma
File size: 556 Bytes
c0d7395 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"model_type": "burt-imma",
"architectures": ["BurtImmaForCausalLM"],
"num_layers": 13,
"hidden_size": 1024,
"matrix_memory_dim": 1024,
"num_induction_heads": 8,
"cifg_gate_dim": 1024,
"entropy_cap": 0.20,
"spectral_radius_bound": 1.0,
"smooth_leaky_alpha": 0.01,
"smooth_leaky_beta": 1.0,
"mmep_beta": 0.1,
"mmep_phases": 2,
"vocab_size": 32000,
"max_position_embeddings": 4096,
"learning_rule": "mmep",
"cuda_compute": "sm_86",
"lean4_verified": true,
"transformers_version": "4.40.0",
"torch_dtype": "float32"
}
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