Instructions to use ai21labs/Jamba-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ai21labs/Jamba-v0.1 with Transformers:

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

pipe = pipeline("text-generation", model="ai21labs/Jamba-v0.1", trust_remote_code=True)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ai21labs/Jamba-v0.1", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("ai21labs/Jamba-v0.1", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ai21labs/Jamba-v0.1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ai21labs/Jamba-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": "ai21labs/Jamba-v0.1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/ai21labs/Jamba-v0.1

SGLang

How to use ai21labs/Jamba-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 "ai21labs/Jamba-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": "ai21labs/Jamba-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 "ai21labs/Jamba-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": "ai21labs/Jamba-v0.1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use ai21labs/Jamba-v0.1 with Docker Model Runner:
```
docker model run hf.co/ai21labs/Jamba-v0.1
```

Collab with NousResearch in sight?

by davidpeleg - opened Mar 28, 2024

Discussion

davidpeleg

Mar 28, 2024

first of all, thank you! its been a while since weve seen a genuinely new idea reach the main stage.
so far, for any use case i think of, my go to is either the hermes-pro-2 or the nous-hermes-mixtral models.
are there any plans in sight to fine tune on their hermes dataset on top of the upcoming instruct model?
also, are there any plans to also release a DPO version?

benicio-standard

AI21 org Mar 28, 2024

We would love to see what you and others come up with when fine tuning this model. Our fine tuned version will be available on our SaaS Platform.

ordagan changed discussion status to closed Apr 4, 2024

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