Instructions to use SunderAli17/CodingBot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use SunderAli17/CodingBot with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="SunderAli17/CodingBot")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("SunderAli17/CodingBot")
model = AutoModelForCausalLM.from_pretrained("SunderAli17/CodingBot")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use SunderAli17/CodingBot with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "SunderAli17/CodingBot"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SunderAli17/CodingBot",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/SunderAli17/CodingBot

SGLang

How to use SunderAli17/CodingBot 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 "SunderAli17/CodingBot" \
    --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": "SunderAli17/CodingBot",
		"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 "SunderAli17/CodingBot" \
        --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": "SunderAli17/CodingBot",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use SunderAli17/CodingBot with Docker Model Runner:
```
docker model run hf.co/SunderAli17/CodingBot
```

CodingBot is an open-source coding language model that delivers excellent performance.

CodingBot leverages LlamaforCausalLM.

CodingBot supports 'java', 'javascript', 'c++', 'c#', 'c', 'html', 'java_server_pages', 'python', 'php', 'go', 'kotlin', 'swift', 'dart', 'shell', 'json', 'lua', 'matlab', 'yaml', 'css', 'rust', 'sql', 'ruby', 'tex', 'objective-c', 'powershell', 'ocaml', 'groovy', 'cmake', 'julia', 'perl', 'assembly', 'haskell', 'fortran', 'pascal', 'rmarkdown', 'scala', 'visual_basic', 'verilog', 'prolog', 'r', 'dockerfile','cobol', 'batchfile', 'toml', 'lisp', 'erlang', 'coffeescript', 'makefile', 'clojure', 'elixir'

Downloads last month: 4

Safetensors

Model size

9B params

Tensor type

BF16

SunderAli17
/

CodingBot

Space using SunderAli17/CodingBot 1