Instructions to use Edcastro/tinyllama-edcastr_JavaScript-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Edcastro/tinyllama-edcastr_JavaScript-v2 with Transformers:

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

pipe = pipeline("text-generation", model="Edcastro/tinyllama-edcastr_JavaScript-v2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Edcastro/tinyllama-edcastr_JavaScript-v2")
model = AutoModelForCausalLM.from_pretrained("Edcastro/tinyllama-edcastr_JavaScript-v2", device_map="auto")
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 Settings

vLLM

How to use Edcastro/tinyllama-edcastr_JavaScript-v2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Edcastro/tinyllama-edcastr_JavaScript-v2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Edcastro/tinyllama-edcastr_JavaScript-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Edcastro/tinyllama-edcastr_JavaScript-v2

SGLang

How to use Edcastro/tinyllama-edcastr_JavaScript-v2 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 "Edcastro/tinyllama-edcastr_JavaScript-v2" \
    --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": "Edcastro/tinyllama-edcastr_JavaScript-v2",
		"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 "Edcastro/tinyllama-edcastr_JavaScript-v2" \
        --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": "Edcastro/tinyllama-edcastr_JavaScript-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Edcastro/tinyllama-edcastr_JavaScript-v2 with Docker Model Runner:
```
docker model run hf.co/Edcastro/tinyllama-edcastr_JavaScript-v2
```

Edcastro commited on Jul 14, 2025

Commit

77b73aa

verified ·

1 Parent(s): cc74227

Update README.md

Browse files

Files changed (1) hide show

README.md +3 -3

README.md CHANGED Viewed

@@ -6,7 +6,7 @@ tags: []
 # Model Card for Model ID
 <!-- Provide a quick summary of what the model is/does. -->
 ## Model Details
@@ -17,10 +17,10 @@ tags: []
 This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-- **Developed by:** [More Information Needed]
 - **Funded by [optional]:** [More Information Needed]
 - **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
 - **Language(s) (NLP):** [More Information Needed]
 - **License:** [More Information Needed]
 - **Finetuned from model [optional]:** [More Information Needed]

 # Model Card for Model ID
 <!-- Provide a quick summary of what the model is/does. -->
+Model will respond queries about libraries in JavaScript, here is the training dataset: https://github.com/Seb4stian/NSU_SLM_SecureFineTune/blob/main/JavaScriptModelTraining/JavaScriptLibraryDataset_with_responses.jsonl
 ## Model Details
 This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+- **Developed by:** Eduardo Castro Puello
 - **Funded by [optional]:** [More Information Needed]
 - **Shared by [optional]:** [More Information Needed]
+- **Model type:** Small Language Model
 - **Language(s) (NLP):** [More Information Needed]
 - **License:** [More Information Needed]
 - **Finetuned from model [optional]:** [More Information Needed]