Instructions to use TechxGenus/Jamba-v0.1-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TechxGenus/Jamba-v0.1-9B with Transformers:

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

pipe = pipeline("text-generation", model="TechxGenus/Jamba-v0.1-9B", trust_remote_code=True)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TechxGenus/Jamba-v0.1-9B", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("TechxGenus/Jamba-v0.1-9B", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use TechxGenus/Jamba-v0.1-9B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TechxGenus/Jamba-v0.1-9B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TechxGenus/Jamba-v0.1-9B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/TechxGenus/Jamba-v0.1-9B

SGLang

How to use TechxGenus/Jamba-v0.1-9B 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 "TechxGenus/Jamba-v0.1-9B" \
    --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": "TechxGenus/Jamba-v0.1-9B",
		"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 "TechxGenus/Jamba-v0.1-9B" \
        --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": "TechxGenus/Jamba-v0.1-9B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TechxGenus/Jamba-v0.1-9B with Docker Model Runner:
```
docker model run hf.co/TechxGenus/Jamba-v0.1-9B
```

The model card has not been updated to TechxGenus/Jamba-v0.1-9B yet.

by danielpark - opened Apr 17, 2024

Discussion

danielpark

Apr 17, 2024

Additionally, I am planning to work on a new model based on this one.

Would you be interested in collaborating on this side project, which aims to complete a paper or a repository?

If you are interested, it will be an equal contribution, and we will share our knowledge fully. If you'd like more details, please contact me via the email listed on my GitHub profile.

I would appreciate it.

danielpark changed discussion status to closed Apr 19, 2024

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment