Instructions to use wooferclaw/Qwen-2.5-7B-Simple-RL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use wooferclaw/Qwen-2.5-7B-Simple-RL with Transformers:

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

pipe = pipeline("text-generation", model="wooferclaw/Qwen-2.5-7B-Simple-RL")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("wooferclaw/Qwen-2.5-7B-Simple-RL")
model = AutoModelForCausalLM.from_pretrained("wooferclaw/Qwen-2.5-7B-Simple-RL", 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=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use wooferclaw/Qwen-2.5-7B-Simple-RL with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "wooferclaw/Qwen-2.5-7B-Simple-RL"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "wooferclaw/Qwen-2.5-7B-Simple-RL",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/wooferclaw/Qwen-2.5-7B-Simple-RL

SGLang

How to use wooferclaw/Qwen-2.5-7B-Simple-RL 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 "wooferclaw/Qwen-2.5-7B-Simple-RL" \
    --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": "wooferclaw/Qwen-2.5-7B-Simple-RL",
		"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 "wooferclaw/Qwen-2.5-7B-Simple-RL" \
        --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": "wooferclaw/Qwen-2.5-7B-Simple-RL",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use wooferclaw/Qwen-2.5-7B-Simple-RL with Docker Model Runner:
```
docker model run hf.co/wooferclaw/Qwen-2.5-7B-Simple-RL
```

wooferclaw commited on Mar 14, 2025

Commit

46a012f

verified ·

1 Parent(s): cf62c03

Training in progress, step 50

Browse files

Files changed (6) hide show

config.json +1 -1
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
training_args.bin +2 -2

config.json CHANGED Viewed

@@ -23,7 +23,7 @@
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
   "transformers_version": "4.49.0",
-  "use_cache": true,
   "use_mrope": false,
   "use_sliding_window": false,
   "vocab_size": 152064

   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
   "transformers_version": "4.49.0",
+  "use_cache": false,
   "use_mrope": false,
   "use_sliding_window": false,
   "vocab_size": 152064

model-00001-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2df75ca775348d50c1c439027b13c932dec42e5b77e9fa3f7a6cf79f6c131a35
 size 4877660776

 version https://git-lfs.github.com/spec/v1
+oid sha256:3e8a5ac09f11fd9ce2d7b25eeb479ff1b9a3520a9df4f5197fcd5a96781c89a8
 size 4877660776

model-00002-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:080b870dec796c252fcfa7107a6afbc7feaead2d5c02a358a2a957ee0b71564a
 size 4932751008

 version https://git-lfs.github.com/spec/v1
+oid sha256:6a79ba44adfe04ba85e5d6da1a579ccbe7a6f2dd487a566d7c0224fffd614c7c
 size 4932751008

model-00003-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f47d695a5d0bbeba87a8ac1c9acf99edbb25c04a46f63a6af58b4e2d7121554c
 size 4330865200

 version https://git-lfs.github.com/spec/v1
+oid sha256:f273a2daf2c14cae89d99ad543865f950a535e1d094a82363960af482578a3f3
 size 4330865200

model-00004-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:447dd4cbcc1b886fad25f86692b85d3c8f86ece5930c96819a10b4d312f79c5f
 size 1089994880

 version https://git-lfs.github.com/spec/v1
+oid sha256:a50db5587d89b0f81d07231c04533197296a211bc81a97a91ae49c2eeb4edb13
 size 1089994880

training_args.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:684bc36c23fa90977c3e5df4d680883549a53daf3130342651840c75769af89a
-size 8056

 version https://git-lfs.github.com/spec/v1
+oid sha256:8e79e627e27b561dc5f94dc7172c819e4ae56b84a104f534c688549f94a559f2
+size 8120