Instructions to use patched-codes/patched-coder-34b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use patched-codes/patched-coder-34b with Transformers:

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

pipe = pipeline("text-generation", model="patched-codes/patched-coder-34b")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("patched-codes/patched-coder-34b")
model = AutoModelForCausalLM.from_pretrained("patched-codes/patched-coder-34b")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use patched-codes/patched-coder-34b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "patched-codes/patched-coder-34b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "patched-codes/patched-coder-34b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/patched-codes/patched-coder-34b

SGLang

How to use patched-codes/patched-coder-34b 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 "patched-codes/patched-coder-34b" \
    --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": "patched-codes/patched-coder-34b",
		"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 "patched-codes/patched-coder-34b" \
        --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": "patched-codes/patched-coder-34b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use patched-codes/patched-coder-34b with Docker Model Runner:
```
docker model run hf.co/patched-codes/patched-coder-34b
```

codelion commited on Dec 8, 2023

Commit

6ba9143

1 Parent(s): 3f8ec4a

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@@ -40,7 +40,7 @@ license: llama2
 # Model Card for patched-coder-34b
 This is an instruction fine-tuned model focussed on the task of patching code. Patching may include fixing bugs, remediating security vulnerabilities,
-doing API migrations and other kinds of code maintainence.
 ## Model Details

 # Model Card for patched-coder-34b
 This is an instruction fine-tuned model focussed on the task of patching code. Patching may include fixing bugs, remediating security vulnerabilities,
+doing API migrations and other kinds of code maintenance.
 ## Model Details