Instructions to use Trendyol/Trendyol-LLM-7b-base-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Trendyol/Trendyol-LLM-7b-base-v0.1 with Transformers:

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

pipe = pipeline("text-generation", model="Trendyol/Trendyol-LLM-7b-base-v0.1")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("Trendyol/Trendyol-LLM-7b-base-v0.1")
model = AutoModelForMultimodalLM.from_pretrained("Trendyol/Trendyol-LLM-7b-base-v0.1")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Trendyol/Trendyol-LLM-7b-base-v0.1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Trendyol/Trendyol-LLM-7b-base-v0.1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Trendyol/Trendyol-LLM-7b-base-v0.1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Trendyol/Trendyol-LLM-7b-base-v0.1

SGLang

How to use Trendyol/Trendyol-LLM-7b-base-v0.1 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 "Trendyol/Trendyol-LLM-7b-base-v0.1" \
    --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": "Trendyol/Trendyol-LLM-7b-base-v0.1",
		"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 "Trendyol/Trendyol-LLM-7b-base-v0.1" \
        --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": "Trendyol/Trendyol-LLM-7b-base-v0.1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Trendyol/Trendyol-LLM-7b-base-v0.1 with Docker Model Runner:
```
docker model run hf.co/Trendyol/Trendyol-LLM-7b-base-v0.1
```

Model version

by keremturgutlu - opened Feb 17, 2024

Discussion

keremturgutlu

Feb 17, 2024

Hi,

Thanks for your contribution. Is this the final version of the base model, I've noticed the v0.1 tag.
How many total tokens were used in training the base model, is it only 10B ?

Thanks

yusufcakmak

Trendyol org Feb 17, 2024

Hi @keremturgutlu

Thanks for your kind response. The model was trained with 10 billion tokens. We will add more models with the same name. So v0.1 tag means that it is the first version of next model iterations.

yusufcakmak changed discussion status to closed Feb 19, 2024

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