Instructions to use TheBloke/CodeLlama-7B-Python-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheBloke/CodeLlama-7B-Python-fp16 with Transformers:

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

pipe = pipeline("text-generation", model="TheBloke/CodeLlama-7B-Python-fp16", trust_remote_code=True)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TheBloke/CodeLlama-7B-Python-fp16", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("TheBloke/CodeLlama-7B-Python-fp16", trust_remote_code=True)

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use TheBloke/CodeLlama-7B-Python-fp16 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TheBloke/CodeLlama-7B-Python-fp16"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TheBloke/CodeLlama-7B-Python-fp16",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/TheBloke/CodeLlama-7B-Python-fp16

SGLang

How to use TheBloke/CodeLlama-7B-Python-fp16 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 "TheBloke/CodeLlama-7B-Python-fp16" \
    --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": "TheBloke/CodeLlama-7B-Python-fp16",
		"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 "TheBloke/CodeLlama-7B-Python-fp16" \
        --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": "TheBloke/CodeLlama-7B-Python-fp16",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TheBloke/CodeLlama-7B-Python-fp16 with Docker Model Runner:
```
docker model run hf.co/TheBloke/CodeLlama-7B-Python-fp16
```

TheBloke commited on Aug 24, 2023

Commit

150be96

1 Parent(s): 95813b7

Upload folder using huggingface_hub

Browse files

Files changed (1) hide show

config.json +2 -2

config.json CHANGED Viewed

@@ -20,7 +20,7 @@
     "torch_dtype": "float16",
     "transformers_version": "4.32.0",
     "use_cache": true,
-    "vocab_size": 32016,
     "auto_map": {
         "AutoConfig": "configuration_llama.LlamaConfig",
         "AutoModel": "modeling_llama.LlamaModel",
@@ -28,4 +28,4 @@
         "AutoModelForSequenceClassification": "modeling_llama.LlamaForSequenceClassification"
     },
     "rope_theta": 1000000
-}

     "torch_dtype": "float16",
     "transformers_version": "4.32.0",
     "use_cache": true,
+    "vocab_size": 32000,
     "auto_map": {
         "AutoConfig": "configuration_llama.LlamaConfig",
         "AutoModel": "modeling_llama.LlamaModel",
         "AutoModelForSequenceClassification": "modeling_llama.LlamaForSequenceClassification"
     },
     "rope_theta": 1000000
+}