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

Libraries

How to use Corianas/llama-2-7b-evolCode with Transformers:

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

pipe = pipeline("text-generation", model="Corianas/llama-2-7b-evolCode")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Corianas/llama-2-7b-evolCode")
model = AutoModelForCausalLM.from_pretrained("Corianas/llama-2-7b-evolCode")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Corianas/llama-2-7b-evolCode with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Corianas/llama-2-7b-evolCode

SGLang

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

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

llama-2-7b-evolCode

Commit History

Adding `safetensors` variant of this model (#1)

213d46e
verified

Corianas

SFconvertbot commited on Jul 3, 2025

Upload tokenizer

0c471b7

Corianas commited on Sep 2, 2023

Upload LlamaForCausalLM

e321057

Corianas commited on Sep 2, 2023

initial commit

29d2b82

Corianas commited on Sep 2, 2023

Commit History

Adding `safetensors` variant of this model (#1) 213d46e verified

Upload tokenizer 0c471b7

Upload LlamaForCausalLM e321057

initial commit 29d2b82

Adding `safetensors` variant of this model (#1)

213d46e
verified

Upload tokenizer

0c471b7

Upload LlamaForCausalLM

e321057

initial commit

29d2b82