Instructions to use Undi95/ZettaPi-13B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Undi95/ZettaPi-13B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Undi95/ZettaPi-13B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Undi95/ZettaPi-13B") model = AutoModelForCausalLM.from_pretrained("Undi95/ZettaPi-13B") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Undi95/ZettaPi-13B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Undi95/ZettaPi-13B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Undi95/ZettaPi-13B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Undi95/ZettaPi-13B
- SGLang
How to use Undi95/ZettaPi-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 "Undi95/ZettaPi-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": "Undi95/ZettaPi-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 "Undi95/ZettaPi-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": "Undi95/ZettaPi-13B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Undi95/ZettaPi-13B with Docker Model Runner:
docker model run hf.co/Undi95/ZettaPi-13B
Create README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: cc-by-nc-4.0
|
| 3 |
+
---
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+

|
| 7 |
+
|
| 8 |
+
Danger Zone (testin').
|
| 9 |
+
|
| 10 |
+
<!-- description start -->
|
| 11 |
+
## Description
|
| 12 |
+
|
| 13 |
+
This repo contains : .
|
| 14 |
+
<!-- description end -->
|
| 15 |
+
<!-- description start -->
|
| 16 |
+
## Models and LoRA used
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
- Open-Orca/OpenOrcaxOpenChat-Preview2-13B
|
| 20 |
+
- The-Face-Of-Goonery/Huginn-13b-FP16
|
| 21 |
+
- CalderaAI/13B-Legerdemain-L2
|
| 22 |
+
- PygmalionAI/pygmalion-2-13b
|
| 23 |
+
- Undi95/MMSoul-13b-lora)
|
| 24 |
+
<!-- description end -->
|
| 25 |
+
<!-- prompt-template start -->
|
| 26 |
+
## Prompt template: Alpaca
|
| 27 |
+
|
| 28 |
+
```
|
| 29 |
+
Below is an instruction that describes a task. Write a response that appropriately completes the request.
|
| 30 |
+
|
| 31 |
+
### Instruction:
|
| 32 |
+
{prompt}
|
| 33 |
+
|
| 34 |
+
### Response:
|
| 35 |
+
|
| 36 |
+
```
|