Instructions to use togethercomputer/Llama-2-7B-32K-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use togethercomputer/Llama-2-7B-32K-Instruct with Transformers:

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

pipe = pipeline("text-generation", model="togethercomputer/Llama-2-7B-32K-Instruct")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("togethercomputer/Llama-2-7B-32K-Instruct")
model = AutoModelForCausalLM.from_pretrained("togethercomputer/Llama-2-7B-32K-Instruct")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use togethercomputer/Llama-2-7B-32K-Instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "togethercomputer/Llama-2-7B-32K-Instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "togethercomputer/Llama-2-7B-32K-Instruct",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/togethercomputer/Llama-2-7B-32K-Instruct

SGLang

How to use togethercomputer/Llama-2-7B-32K-Instruct 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 "togethercomputer/Llama-2-7B-32K-Instruct" \
    --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": "togethercomputer/Llama-2-7B-32K-Instruct",
		"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 "togethercomputer/Llama-2-7B-32K-Instruct" \
        --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": "togethercomputer/Llama-2-7B-32K-Instruct",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use togethercomputer/Llama-2-7B-32K-Instruct with Docker Model Runner:
```
docker model run hf.co/togethercomputer/Llama-2-7B-32K-Instruct
```

Traceback (most recent call last)

#14

by fwrefewrfwe - opened Oct 22, 2023

Discussion

fwrefewrfwe

Oct 22, 2023

Traceback (most recent call last):

File "C:\Users\User\text-generation-webui\modules\ui_model_menu.py", line 201, in load_model_wrapper

shared.model, shared.tokenizer = load_model(shared.model_name, loader)
File "C:\Users\User\text-generation-webui\modules\models.py", line 79, in load_model

output = load_func_maploader
File "C:\Users\User\text-generation-webui\modules\models.py", line 143, in huggingface_loader

model = model.cuda()
File "C:\Users\User\anaconda3\envs\tg\lib\site-packages\transformers\modeling_utils.py", line 2168, in cuda

return super().cuda(*args, **kwargs)
File "C:\Users\User\anaconda3\envs\tg\lib\site-packages\torch\nn\modules\module.py", line 918, in cuda

return self._apply(lambda t: t.cuda(device))
File "C:\Users\User\anaconda3\envs\tg\lib\site-packages\torch\nn\modules\module.py", line 810, in _apply

module._apply(fn)
File "C:\Users\User\anaconda3\envs\tg\lib\site-packages\torch\nn\modules\module.py", line 810, in _apply

module._apply(fn)
File "C:\Users\User\anaconda3\envs\tg\lib\site-packages\torch\nn\modules\module.py", line 833, in _apply

param_applied = fn(param)
File "C:\Users\User\anaconda3\envs\tg\lib\site-packages\torch\nn\modules\module.py", line 918, in

return self.apply(lambda t: t.cuda(device))
File "C:\Users\User\anaconda3\envs\tg\lib\site-packages\torch\cuda_init.py", line 289, in _lazy_init

raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled

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