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inceptionai
/
jais-13b

Text Generation
Transformers
PyTorch
Arabic
English
jais
Arabic
English
LLM
Decoder
causal-lm
custom_code
Model card Files Files and versions
xet
Community
20

Instructions to use inceptionai/jais-13b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use inceptionai/jais-13b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="inceptionai/jais-13b", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("inceptionai/jais-13b", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • vLLM

    How to use inceptionai/jais-13b with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "inceptionai/jais-13b"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "inceptionai/jais-13b",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/inceptionai/jais-13b
  • SGLang

    How to use inceptionai/jais-13b 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 "inceptionai/jais-13b" \
        --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": "inceptionai/jais-13b",
    		"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 "inceptionai/jais-13b" \
            --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": "inceptionai/jais-13b",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use inceptionai/jais-13b with Docker Model Runner:

    docker model run hf.co/inceptionai/jais-13b
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Update modeling_jais.py for compatibility with transformers

#20 opened 4 months ago by
sylwia-kuros

add AIBOM

#19 opened 11 months ago by
RiccardoDav

jais-pull

#18 opened 12 months ago by
swetank12

Adding `safetensors` variant of this model

#17 opened over 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#16 opened almost 2 years ago by
SFconvertbot

Enabling PEFT for jais-13b

❤️ 2
#13 opened almost 2 years ago by
yassineafr

Adding `safetensors` variant of this model

#12 opened about 2 years ago by
SFconvertbot

use core42/jais-13b with ollama

➕ 1
1
#11 opened over 2 years ago by
akelmj

Running the model in Colab

2
#10 opened over 2 years ago by
MohammadAlameenArtan

[AUTOMATED] Model Memory Requirements

#9 opened over 2 years ago by
model-sizer-bot

The current model class (JAISModel) is not compatible with `.generate()`, as it doesn't have a language model head.

3
#8 opened over 2 years ago by
FK7

Token limit

1
#6 opened over 2 years ago by
alihkhawaher

training script

2
#5 opened over 2 years ago by
maher13

any plan to release quantization that works with llama.cpp

👍 4
1
#3 opened over 2 years ago by
ziyadalkhonein

JAIS model response takes a lot of time

4
#2 opened over 2 years ago by
faris98
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