Instructions to use bobbyzhong/qwen2.5-7b-grpo-codepress-checkpoint30-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use bobbyzhong/qwen2.5-7b-grpo-codepress-checkpoint30-lora with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("bobbyzhong/qwen2.5-7b-codepress-sft-v2-merged")
model = PeftModel.from_pretrained(base_model, "bobbyzhong/qwen2.5-7b-grpo-codepress-checkpoint30-lora")

Transformers

How to use bobbyzhong/qwen2.5-7b-grpo-codepress-checkpoint30-lora with Transformers:

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

pipe = pipeline("text-generation", model="bobbyzhong/qwen2.5-7b-grpo-codepress-checkpoint30-lora")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("bobbyzhong/qwen2.5-7b-grpo-codepress-checkpoint30-lora", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use bobbyzhong/qwen2.5-7b-grpo-codepress-checkpoint30-lora with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bobbyzhong/qwen2.5-7b-grpo-codepress-checkpoint30-lora"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "bobbyzhong/qwen2.5-7b-grpo-codepress-checkpoint30-lora",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/bobbyzhong/qwen2.5-7b-grpo-codepress-checkpoint30-lora

SGLang

How to use bobbyzhong/qwen2.5-7b-grpo-codepress-checkpoint30-lora 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 "bobbyzhong/qwen2.5-7b-grpo-codepress-checkpoint30-lora" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "bobbyzhong/qwen2.5-7b-grpo-codepress-checkpoint30-lora",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "bobbyzhong/qwen2.5-7b-grpo-codepress-checkpoint30-lora" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "bobbyzhong/qwen2.5-7b-grpo-codepress-checkpoint30-lora",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Desktop
Docker Model Runner
How to use bobbyzhong/qwen2.5-7b-grpo-codepress-checkpoint30-lora with Docker Model Runner:
```
docker model run hf.co/bobbyzhong/qwen2.5-7b-grpo-codepress-checkpoint30-lora
```

qwen2.5-7b-grpo-codepress-checkpoint30-lora / training_args.bin

bobbyzhong

Upload folder using huggingface_hub

8f6f0dd verified about 1 year ago

History Blame Contribute Delete

7.25 kB

This file is stored with Xet . It is too big to display, but you can still download it.

Xet Pointer Details

( Raw pointer file )

Xet hash:: 76c2145deafb767827d249a1f09b6bccd5264a46c56dbf7f149d44620207845e
Size of remote file:: 7.25 kB
SHA256:: ebf6e652695c9881c9c9f88e4594f736ffa4a536000f58108b2154ff2283e94a

Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.

bobbyzhong
/

qwen2.5-7b-grpo-codepress-checkpoint30-lora

Detected Pickle imports (10)

Xet Pointer Details