Instructions to use Yellow-AI-NLP/komodo-7b-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Yellow-AI-NLP/komodo-7b-base with Transformers:

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

pipe = pipeline("text-generation", model="Yellow-AI-NLP/komodo-7b-base")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Yellow-AI-NLP/komodo-7b-base")
model = AutoModelForCausalLM.from_pretrained("Yellow-AI-NLP/komodo-7b-base")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Yellow-AI-NLP/komodo-7b-base with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Yellow-AI-NLP/komodo-7b-base

SGLang

How to use Yellow-AI-NLP/komodo-7b-base 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 "Yellow-AI-NLP/komodo-7b-base" \
    --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": "Yellow-AI-NLP/komodo-7b-base",
		"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 "Yellow-AI-NLP/komodo-7b-base" \
        --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": "Yellow-AI-NLP/komodo-7b-base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Yellow-AI-NLP/komodo-7b-base with Docker Model Runner:
```
docker model run hf.co/Yellow-AI-NLP/komodo-7b-base
```

will you release komodo-7b-instruct?

by panyi - opened Mar 18, 2024

Discussion

panyi

Mar 18, 2024

will you release the instruction tuned version models?

akanyaani

Yellow.ai org Mar 18, 2024

Hello, @panyi . We appreciate your interest in Komodo. At this time, we haven't finalized any decisions regarding its open sourcing. Rest assured, we'll keep you informed here once we do.

akanyaani changed discussion status to closed Mar 18, 2024

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