Text Generation
Transformers
Safetensors
PyTorch
Indonesian
English
cali
causal-lm
transformer
indonesian
english
custom-architecture
conversational
custom_code
Instructions to use Sandroeth/cali-0.1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sandroeth/cali-0.1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Sandroeth/cali-0.1B", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Sandroeth/cali-0.1B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Sandroeth/cali-0.1B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Sandroeth/cali-0.1B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Sandroeth/cali-0.1B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Sandroeth/cali-0.1B
- SGLang
How to use Sandroeth/cali-0.1B 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 "Sandroeth/cali-0.1B" \ --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": "Sandroeth/cali-0.1B", "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 "Sandroeth/cali-0.1B" \ --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": "Sandroeth/cali-0.1B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Sandroeth/cali-0.1B with Docker Model Runner:
docker model run hf.co/Sandroeth/cali-0.1B
| { | |
| "model_type": "cali", | |
| "architectures": ["CALIForCausalLM"], | |
| "auto_map": { | |
| "AutoConfig": "configuration_cali.CALIConfig", | |
| "AutoModelForCausalLM": "modeling_cali.CALIForCausalLM" | |
| }, | |
| "vocab_size": 32000, | |
| "hidden_dim": 768, | |
| "num_layers": 11, | |
| "num_heads": 4, | |
| "num_kv_heads": 1, | |
| "head_dim": 192, | |
| "seq_len": 1024, | |
| "ffn_multiplier": 3.0, | |
| "dropout": 0.0, | |
| "tie_embeddings": true, | |
| "rope_theta": 10000.0, | |
| "rms_norm_eps": 1e-6, | |
| "initializer_range": 0.02, | |
| "use_cache": true, | |
| "pad_token_id": null, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.40.0" | |
| } |