Text Generation
Transformers
Safetensors
English
alpha-er
from-scratch
mixture-of-experts
custom-gpu-stack
research
custom_code
Instructions to use ajaxdavis/alpha-er with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ajaxdavis/alpha-er with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ajaxdavis/alpha-er", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("ajaxdavis/alpha-er", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ajaxdavis/alpha-er with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ajaxdavis/alpha-er" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ajaxdavis/alpha-er", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ajaxdavis/alpha-er
- SGLang
How to use ajaxdavis/alpha-er 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 "ajaxdavis/alpha-er" \ --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": "ajaxdavis/alpha-er", "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 "ajaxdavis/alpha-er" \ --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": "ajaxdavis/alpha-er", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ajaxdavis/alpha-er with Docker Model Runner:
docker model run hf.co/ajaxdavis/alpha-er
File size: 448 Bytes
d7562c8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"model_type": "alpha-er",
"architectures": [
"AlphaErForCausalLM"
],
"auto_map": {
"AutoModelForCausalLM": "modeling_alpha.AlphaErForCausalLM"
},
"vocab_size": 12288,
"block_size": 512,
"n_layer": 2,
"n_embd": 1024,
"n_head": 8,
"ffn_dim": 20480,
"mlp_experts": 64,
"lm_head_rank": 128,
"attn_rank": 128,
"attn_soft_cap": 30.0,
"layer_norm_eps": 1e-05,
"torch_dtype": "float32",
"trained_step": 20000
} |