Instructions to use daryl149/llama-2-7b-chat-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use daryl149/llama-2-7b-chat-hf with Transformers:

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

pipe = pipeline("text-generation", model="daryl149/llama-2-7b-chat-hf")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("daryl149/llama-2-7b-chat-hf")
model = AutoModelForCausalLM.from_pretrained("daryl149/llama-2-7b-chat-hf", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use daryl149/llama-2-7b-chat-hf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "daryl149/llama-2-7b-chat-hf"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "daryl149/llama-2-7b-chat-hf",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/daryl149/llama-2-7b-chat-hf

SGLang

How to use daryl149/llama-2-7b-chat-hf 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 "daryl149/llama-2-7b-chat-hf" \
    --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": "daryl149/llama-2-7b-chat-hf",
		"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 "daryl149/llama-2-7b-chat-hf" \
        --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": "daryl149/llama-2-7b-chat-hf",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use daryl149/llama-2-7b-chat-hf with Docker Model Runner:
```
docker model run hf.co/daryl149/llama-2-7b-chat-hf
```

tokenizer.model_max_length for llama-2-7b-chat-hf

by huggingFace1108 - opened Aug 8, 2023

Discussion

huggingFace1108

Aug 8, 2023

Thanks for this model.

when printing 'tokenizer.model_max_length', I got a number like '1000000000000000019884624838656'.

the model_max_length is supposed to be 4k? Not sure where this behavior stems from.

Thanks

daryl149

Owner Aug 11, 2023

That number is actually correct, because we solved long context.
.
.
.
.
No j/k, idk either, have you tried the same command with meta's version of the llama-2 weights?

esolteric

Aug 27, 2023

Hello, I´m using this model, but since yesterday, when I run it, I´m getting this error. Running on 4090.

Traceback (most recent call last):
File "/root/endpoint.py", line 43, in chat
response = miner.forward(messages, num_replies = n)
File "/root/endpoint.py", line 106, in forward
output = self.model.generate(
File "/opt/conda/lib/python3.10/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "/opt/conda/lib/python3.10/site-packages/transformers/generation/utils.py", line 1485, in generate
return self.sample(
File "/opt/conda/lib/python3.10/site-packages/transformers/generation/utils.py", line 2560, in sample
next_tokens = torch.multinomial(probs, num_samples=1).squeeze(1)
RuntimeError: probability tensor contains either inf, nan or element < 0

Thank you for your help in advance.

chaochaoli

Nov 20, 2023

2048 or 4096？
https://huggingface.co/TigerResearch/tigerbot-13b-chat-v1/discussions/1#:~:text=llama2%E7%9A%84%E5%AE%9E,%E5%89%8D%E9%BB%98%E8%AE%A4%E5%8F%82%E6%95%B0%E5%AF%BC%E8%87%B4%E3%80%82

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