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

Libraries

How to use CyberNative/CyberBase-13b with Transformers:

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

pipe = pipeline("text-generation", model="CyberNative/CyberBase-13b")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("CyberNative/CyberBase-13b")
model = AutoModelForCausalLM.from_pretrained("CyberNative/CyberBase-13b")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use CyberNative/CyberBase-13b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "CyberNative/CyberBase-13b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "CyberNative/CyberBase-13b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/CyberNative/CyberBase-13b

SGLang

How to use CyberNative/CyberBase-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 "CyberNative/CyberBase-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": "CyberNative/CyberBase-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 "CyberNative/CyberBase-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": "CyberNative/CyberBase-13b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use CyberNative/CyberBase-13b with Docker Model Runner:
```
docker model run hf.co/CyberNative/CyberBase-13b
```

CyberNative commited on Aug 18, 2023

Commit

618ddcb

1 Parent(s): 184c7b6

Update README.md

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@@ -11,7 +11,7 @@ CyberBase 13b 8k *base model* - (llama-2-13b - lmsys/vicuna-13b-v1.5-16k)
 - sequence_len: 4096
 - max_packed_sequence_len: 4096
 - lora_r: 256
-- lora_alpha: 256
 - trainable params: 1,001,390,080 || all params: 14,017,264,640 || trainable%: 7.143976415643959
 # Base cybersecurity model for future fine-tuning, it is not recomended to use on it's own.

 - sequence_len: 4096
 - max_packed_sequence_len: 4096
 - lora_r: 256
+- lora_alpha: 128
 - trainable params: 1,001,390,080 || all params: 14,017,264,640 || trainable%: 7.143976415643959
 # Base cybersecurity model for future fine-tuning, it is not recomended to use on it's own.