Instructions to use beowolx/CodeNinja-1.0-OpenChat-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use beowolx/CodeNinja-1.0-OpenChat-7B with Transformers:

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

pipe = pipeline("text-generation", model="beowolx/CodeNinja-1.0-OpenChat-7B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("beowolx/CodeNinja-1.0-OpenChat-7B")
model = AutoModelForCausalLM.from_pretrained("beowolx/CodeNinja-1.0-OpenChat-7B")
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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use beowolx/CodeNinja-1.0-OpenChat-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "beowolx/CodeNinja-1.0-OpenChat-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "beowolx/CodeNinja-1.0-OpenChat-7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/beowolx/CodeNinja-1.0-OpenChat-7B

SGLang

How to use beowolx/CodeNinja-1.0-OpenChat-7B 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 "beowolx/CodeNinja-1.0-OpenChat-7B" \
    --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": "beowolx/CodeNinja-1.0-OpenChat-7B",
		"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 "beowolx/CodeNinja-1.0-OpenChat-7B" \
        --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": "beowolx/CodeNinja-1.0-OpenChat-7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use beowolx/CodeNinja-1.0-OpenChat-7B with Docker Model Runner:
```
docker model run hf.co/beowolx/CodeNinja-1.0-OpenChat-7B
```

Godot 3

by IggyLux - opened Feb 11, 2024

Discussion

IggyLux

Feb 11, 2024

While it does have the ability to code in Godot for those interested, it often lacks logic or proper vocabulary to describe what it needs you to do to accomplish things.
As far as writing scripts it often produces scripts that have issues as well. When asked to correct it gets stuck and continues to suggest solutions with errors as well too.

So, if you have experience coding/scripting it might be an easy correction, for those without I don't know If I would trust it as a tool to assist someone who is learning.

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