Instructions to use Ejafa/llama_7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ejafa/llama_7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Ejafa/llama_7B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Ejafa/llama_7B") model = AutoModelForCausalLM.from_pretrained("Ejafa/llama_7B") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Ejafa/llama_7B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Ejafa/llama_7B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Ejafa/llama_7B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Ejafa/llama_7B
- SGLang
How to use Ejafa/llama_7B 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 "Ejafa/llama_7B" \ --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": "Ejafa/llama_7B", "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 "Ejafa/llama_7B" \ --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": "Ejafa/llama_7B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Ejafa/llama_7B with Docker Model Runner:
docker model run hf.co/Ejafa/llama_7B
Update README.md
Browse files
README.md
CHANGED
|
@@ -9,9 +9,6 @@ This is under a special license, please see the LICENSE file for details.
|
|
| 9 |
This contains the weights for the LLaMA-7b model. This model is under a non-commercial license (see the LICENSE file).
|
| 10 |
You should only use this repository if you have been granted access to the model by filling out [this form](https://docs.google.com/forms/d/e/1FAIpQLSfqNECQnMkycAp2jP4Z9TFX0cGR4uf7b_fBxjY_OjhJILlKGA/viewform?usp=send_form) but either lost your copy of the weights or got some trouble converting them to the Transformers format.
|
| 11 |
|
| 12 |
-
--
|
| 13 |
-
license: other
|
| 14 |
-
---
|
| 15 |
# LLaMA Model Card
|
| 16 |
|
| 17 |
## Model details
|
|
|
|
| 9 |
This contains the weights for the LLaMA-7b model. This model is under a non-commercial license (see the LICENSE file).
|
| 10 |
You should only use this repository if you have been granted access to the model by filling out [this form](https://docs.google.com/forms/d/e/1FAIpQLSfqNECQnMkycAp2jP4Z9TFX0cGR4uf7b_fBxjY_OjhJILlKGA/viewform?usp=send_form) but either lost your copy of the weights or got some trouble converting them to the Transformers format.
|
| 11 |
|
|
|
|
|
|
|
|
|
|
| 12 |
# LLaMA Model Card
|
| 13 |
|
| 14 |
## Model details
|