Instructions to use Smilyai-labs/CodVa-1-Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Smilyai-labs/CodVa-1-Small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Smilyai-labs/CodVa-1-Small", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Smilyai-labs/CodVa-1-Small", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Smilyai-labs/CodVa-1-Small with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Smilyai-labs/CodVa-1-Small" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Smilyai-labs/CodVa-1-Small", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Smilyai-labs/CodVa-1-Small
- SGLang
How to use Smilyai-labs/CodVa-1-Small 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 "Smilyai-labs/CodVa-1-Small" \ --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": "Smilyai-labs/CodVa-1-Small", "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 "Smilyai-labs/CodVa-1-Small" \ --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": "Smilyai-labs/CodVa-1-Small", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Smilyai-labs/CodVa-1-Small with Docker Model Runner:
docker model run hf.co/Smilyai-labs/CodVa-1-Small
| { | |
| "model_type": "codva1", | |
| "architectures": ["Codva1ForCausalLM"], | |
| "auto_map": { | |
| "AutoConfig": "configuration_codva1.CodVa1Config", | |
| "AutoModelForCausalLM": "modeling_codva1.CodVa1ForCausalLM" | |
| }, | |
| "vocab_size": 50304, | |
| "d_model": 1536, | |
| "n_layers": 28, | |
| "n_heads": 24, | |
| "n_kv_heads": 6, | |
| "max_len": 2048, | |
| "rope_theta": 5000000.0, | |
| "ffn_hidden": 4096, | |
| "use_moe": true, | |
| "moe_experts": 16, | |
| "moe_top_k": 2, | |
| "moe_shared": 2, | |
| "moe_hidden": 1024, | |
| "moe_every": 2, | |
| "moe_bias_speed": 0.001, | |
| "use_qk_norm": true, | |
| "use_structural_bias": true, | |
| "n_struct_rel": 4, | |
| "use_fim": true, | |
| "fim_rate": 0.5, | |
| "fim_pre_id": 50269, | |
| "fim_suf_id": 50270, | |
| "fim_mid_id": 50271, | |
| "tie_word_embeddings": true, | |
| "torch_dtype": "bfloat16", | |
| "bos_token_id": 50256, | |
| "eos_token_id": 50256, | |
| "pad_token_id": 50256, | |
| "transformers_version": "4.44.0" | |
| } |