Instructions to use TinyPixel/Llama-2-7B-bf16-sharded with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TinyPixel/Llama-2-7B-bf16-sharded with Transformers:

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

pipe = pipeline("text-generation", model="TinyPixel/Llama-2-7B-bf16-sharded")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TinyPixel/Llama-2-7B-bf16-sharded")
model = AutoModelForCausalLM.from_pretrained("TinyPixel/Llama-2-7B-bf16-sharded")

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use TinyPixel/Llama-2-7B-bf16-sharded with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TinyPixel/Llama-2-7B-bf16-sharded"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TinyPixel/Llama-2-7B-bf16-sharded",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/TinyPixel/Llama-2-7B-bf16-sharded

SGLang

How to use TinyPixel/Llama-2-7B-bf16-sharded 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 "TinyPixel/Llama-2-7B-bf16-sharded" \
    --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": "TinyPixel/Llama-2-7B-bf16-sharded",
		"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 "TinyPixel/Llama-2-7B-bf16-sharded" \
        --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": "TinyPixel/Llama-2-7B-bf16-sharded",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TinyPixel/Llama-2-7B-bf16-sharded with Docker Model Runner:
```
docker model run hf.co/TinyPixel/Llama-2-7B-bf16-sharded
```

Text Summarization

by aritrasen - opened Jul 28, 2023

Discussion

aritrasen

Jul 28, 2023

Running the model on dialogsum dataset to generate summary of the text, response is not getting generated properly , input text is getting repeated.
Please find the attached image for the input and output.

Please let me know what I am doing wrong to fix the issue.

TinyPixel

Owner Jul 28, 2023

try using repetition_penalty=1.2 temprature
Or there might be some problem with lora

TinyPixel

Owner Jul 28, 2023

And this is the sharded version of TheBloke/Llama-2-7B-fp16

aritrasen

Jul 28, 2023

repetition_penalty=1.2 , this has worked for me, thanks a lot.

aritrasen changed discussion status to closed Jul 28, 2023

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