Instructions to use howardzhou/Qwen2.5-7B-Open-R1-Distill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use howardzhou/Qwen2.5-7B-Open-R1-Distill with Transformers:

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

pipe = pipeline("text-generation", model="howardzhou/Qwen2.5-7B-Open-R1-Distill")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("howardzhou/Qwen2.5-7B-Open-R1-Distill")
model = AutoModelForCausalLM.from_pretrained("howardzhou/Qwen2.5-7B-Open-R1-Distill", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use howardzhou/Qwen2.5-7B-Open-R1-Distill with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "howardzhou/Qwen2.5-7B-Open-R1-Distill"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "howardzhou/Qwen2.5-7B-Open-R1-Distill",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/howardzhou/Qwen2.5-7B-Open-R1-Distill

SGLang

How to use howardzhou/Qwen2.5-7B-Open-R1-Distill 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 "howardzhou/Qwen2.5-7B-Open-R1-Distill" \
    --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": "howardzhou/Qwen2.5-7B-Open-R1-Distill",
		"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 "howardzhou/Qwen2.5-7B-Open-R1-Distill" \
        --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": "howardzhou/Qwen2.5-7B-Open-R1-Distill",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use howardzhou/Qwen2.5-7B-Open-R1-Distill with Docker Model Runner:
```
docker model run hf.co/howardzhou/Qwen2.5-7B-Open-R1-Distill
```

howardzhou commited on Feb 12, 2025

Commit

caac82e

verified ·

1 Parent(s): d269175

Training in progress, step 1200

Browse files

Files changed (5) hide show

model-00001-of-00004.safetensors +1 -1
model-00002-of-00004.safetensors +1 -1
model-00003-of-00004.safetensors +1 -1
model-00004-of-00004.safetensors +1 -1
runs/Feb11_20-06-02_ip-172-31-29-32/events.out.tfevents.1739305635.ip-172-31-29-32.4146877.0 +2 -2

model-00001-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:80596ab4fe296e1b2027c8741080c373642743cfe93e5a5131953ca1333f3d5e
 size 4877660776

 version https://git-lfs.github.com/spec/v1
+oid sha256:97af655b4850098facce5377e081cd1882d970b65b25a42d306177355c8ccb6f
 size 4877660776

model-00002-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:214c69ef86c1df6c8f397bcf203cd870705ebc58220dc9e5dfaa150ab7d4e7be
 size 4932751008

 version https://git-lfs.github.com/spec/v1
+oid sha256:4fbaeaeff0a94ffaebeca359c3e1a20b7e40edc4b9e67e2ac3a139e17289ab1d
 size 4932751008

model-00003-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d9c8d332604b497fca05d0de071f2baf5b9109ac2ddd1f1322a90ef705252891
 size 4330865200

 version https://git-lfs.github.com/spec/v1
+oid sha256:0881a3bf719f226a2192b36ddebdbade1713aef8022479cf58abd514ddd9fa51
 size 4330865200

model-00004-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:52d51e91f7e0f6b04d0dba5b81bf963f1501490d640dc8d00a3ad9d1058c1746
 size 1089994880

 version https://git-lfs.github.com/spec/v1
+oid sha256:5ed2d9af60df7340b645c5684f059e1cadf270e5da06dc2afed6e70c7632a084
 size 1089994880

runs/Feb11_20-06-02_ip-172-31-29-32/events.out.tfevents.1739305635.ip-172-31-29-32.4146877.0 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a6988000398174d8401afdadbdf3670ce3f9f2ad4d7b80a9100925b927d7c82f
-size 195629

 version https://git-lfs.github.com/spec/v1
+oid sha256:f9e7735f0ab29f4662a6eea38e22af47d4f789c92f43acd95a14758a5071a986
+size 258929