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
```

Bc-AI commited on 9 days ago

Commit

559e55a

1 Parent(s): 2548909

Create special_tokens_map.json

Browse files

Files changed (1) hide show

special_tokens_map.json +20 -0

special_tokens_map.json ADDED Viewed

	@@ -0,0 +1,20 @@

+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>",
+  "pad_token": "<|endoftext|>",
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|code_start|>",
+    "<|code_end|>",
+    "<|math_start|>",
+    "<|math_end|>",
+    "<|solution|>",
+    "<|doc_end|>",
+    "<|domain_code|>",
+    "<|domain_math|>",
+    "<|domain_general|>",
+    "<|domain_reasoning|>"
+  ]
+}