Instructions to use Smilyai-labs/CodVa-1-Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

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
```

CodVa-1-Small

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{
  "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"
}