Instructions to use codellama/CodeLlama-70b-Python-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use codellama/CodeLlama-70b-Python-hf with Transformers:

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

pipe = pipeline("text-generation", model="codellama/CodeLlama-70b-Python-hf")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("codellama/CodeLlama-70b-Python-hf")
model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-70b-Python-hf")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use codellama/CodeLlama-70b-Python-hf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "codellama/CodeLlama-70b-Python-hf"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "codellama/CodeLlama-70b-Python-hf",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/codellama/CodeLlama-70b-Python-hf

SGLang

How to use codellama/CodeLlama-70b-Python-hf 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 "codellama/CodeLlama-70b-Python-hf" \
    --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": "codellama/CodeLlama-70b-Python-hf",
		"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 "codellama/CodeLlama-70b-Python-hf" \
        --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": "codellama/CodeLlama-70b-Python-hf",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use codellama/CodeLlama-70b-Python-hf with Docker Model Runner:
```
docker model run hf.co/codellama/CodeLlama-70b-Python-hf
```

osanseviero commited on Jan 29, 2024

Commit

c647022

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1 Parent(s): 58099ce

Update README.md

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@@ -1,3 +1,4 @@
 ---
 language:
 - code
@@ -7,7 +8,7 @@ tags:
 license: llama2
 ---
 # **Code Llama**
-Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the base 70B version in the Hugging Face Transformers format. This model is designed for general code synthesis and understanding. Links to other models can be found in the index at the bottom.
 |     | Base Model                                                                    | Python                                                                                      | Instruct                                                                                        |
 | --- | ----------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------- |
@@ -29,7 +30,7 @@ Model capabilities:
 - [x] Code completion.
 - [ ] Infilling.
 - [ ] Instructions / chat.
-- [ ] Python specialist.
 ## Model Details
 *Note: Use of this model is governed by the Meta license. Meta developed and publicly released the Code Llama family of large language models (LLMs).
@@ -44,7 +45,7 @@ Model capabilities:
 All variants are available in sizes of 7B, 13B, 34B, and 70B parameters.
-**This repository contains the base version of the 70B parameters model.**
 **Input** Models input text only.

 ---
 language:
 - code
 license: llama2
 ---
 # **Code Llama**
+Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 70B Python specialist version in the Hugging Face Transformers format. This model is designed for general code synthesis and understanding. Links to other models can be found in the index at the bottom.
 |     | Base Model                                                                    | Python                                                                                      | Instruct                                                                                        |
 | --- | ----------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------- |
 - [x] Code completion.
 - [ ] Infilling.
 - [ ] Instructions / chat.
+- [x] Python specialist.
 ## Model Details
 *Note: Use of this model is governed by the Meta license. Meta developed and publicly released the Code Llama family of large language models (LLMs).
 All variants are available in sizes of 7B, 13B, 34B, and 70B parameters.
+**This repository contains the Python version of the 70B parameters model.**
 **Input** Models input text only.