Instructions to use ZahrizhalAli/llama-7b-code-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ZahrizhalAli/llama-7b-code-generation with Transformers:

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

pipe = pipeline("text-generation", model="ZahrizhalAli/llama-7b-code-generation")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("ZahrizhalAli/llama-7b-code-generation", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ZahrizhalAli/llama-7b-code-generation with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/ZahrizhalAli/llama-7b-code-generation

SGLang

How to use ZahrizhalAli/llama-7b-code-generation 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 "ZahrizhalAli/llama-7b-code-generation" \
    --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": "ZahrizhalAli/llama-7b-code-generation",
		"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 "ZahrizhalAli/llama-7b-code-generation" \
        --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": "ZahrizhalAli/llama-7b-code-generation",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use ZahrizhalAli/llama-7b-code-generation with Docker Model Runner:
```
docker model run hf.co/ZahrizhalAli/llama-7b-code-generation
```

ZahrizhalAli commited on Sep 20, 2023

Commit

9a3a04f

1 Parent(s): 88cd333

Update config.json

Browse files

Files changed (1) hide show

config.json +0 -3

config.json CHANGED Viewed

@@ -3,9 +3,6 @@ LlamaConfig {
   "architectures": [
     "LlamaForCausalLM"
   ],
-  "auto_map": {
-    "AutoModelForCausalLM": "modeling_flash_llama.LlamaForCausalLM"
-  },
   "bos_token_id": 1,
   "eos_token_id": 2,
   "hidden_act": "silu",

   "architectures": [
     "LlamaForCausalLM"
   ],
   "bos_token_id": 1,
   "eos_token_id": 2,
   "hidden_act": "silu",