Instructions to use leonMW/DeepSeek-R1-Distill-Qwen-7B-S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use leonMW/DeepSeek-R1-Distill-Qwen-7B-S with Transformers:

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

pipe = pipeline("text-generation", model="leonMW/DeepSeek-R1-Distill-Qwen-7B-S")
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("leonMW/DeepSeek-R1-Distill-Qwen-7B-S")
model = AutoModelForCausalLM.from_pretrained("leonMW/DeepSeek-R1-Distill-Qwen-7B-S", 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 leonMW/DeepSeek-R1-Distill-Qwen-7B-S with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/leonMW/DeepSeek-R1-Distill-Qwen-7B-S

SGLang

How to use leonMW/DeepSeek-R1-Distill-Qwen-7B-S 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 "leonMW/DeepSeek-R1-Distill-Qwen-7B-S" \
    --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": "leonMW/DeepSeek-R1-Distill-Qwen-7B-S",
		"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 "leonMW/DeepSeek-R1-Distill-Qwen-7B-S" \
        --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": "leonMW/DeepSeek-R1-Distill-Qwen-7B-S",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use leonMW/DeepSeek-R1-Distill-Qwen-7B-S with Docker Model Runner:
```
docker model run hf.co/leonMW/DeepSeek-R1-Distill-Qwen-7B-S
```

leonMW commited on Sep 23, 2025

Commit

d7b6c0c

verified ·

1 Parent(s): a6f7472

Model save

Browse files

Files changed (7) hide show

all_results.json +5 -5
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
train_results.json +5 -5
trainer_state.json +0 -0

all_results.json CHANGED Viewed

@@ -1,8 +1,8 @@
 {
     "total_flos": 0.0,
-    "train_loss": 0.016921637538871437,
-    "train_runtime": 3741.2612,
-    "train_samples": 1053,
-    "train_samples_per_second": 0.563,
-    "train_steps_per_second": 0.034
 }

 {
     "total_flos": 0.0,
+    "train_loss": 0.0056586482565880065,
+    "train_runtime": 7077.4538,
+    "train_samples": 2027,
+    "train_samples_per_second": 0.573,
+    "train_steps_per_second": 0.035
 }

model-00001-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a9096aa5a4abacd6074c857f010875c6eb8aaff4c7eaf45bad340d63391c8df3
 size 4877660776

 version https://git-lfs.github.com/spec/v1
+oid sha256:88ee2862ed137bd6e4a0e6091a1248b3953bbf75d91505bad1b6cd6ad99a983d
 size 4877660776

model-00002-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6a8f644dcb4608675b21fc6a08642ee5a5fd48220efd99698ee3c2843999053f
 size 4932751008

 version https://git-lfs.github.com/spec/v1
+oid sha256:1265e146c0148f19ae49df87397fd1e5bae692402e830cc82fc056ece730bbc9
 size 4932751008

model-00003-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3ccae773418fdd7fa7f152ee6798fe01324d44b8898f7267e4605bb23f327807
 size 4330865200

 version https://git-lfs.github.com/spec/v1
+oid sha256:36388b15d302cc9007f43593c43f60a5943873d02d918b8f4e1d0cf2a21a9d70
 size 4330865200

model-00004-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b3ef97a9cf099521b800412dffaca9d2ff27a853291157d247d157944bba3984
 size 1089994880

 version https://git-lfs.github.com/spec/v1
+oid sha256:96d60c233cb139473a1553c7aed91a2d6cdc5ae59ee4a9c4dfac4a3437db73c0
 size 1089994880

train_results.json CHANGED Viewed

@@ -1,8 +1,8 @@
 {
     "total_flos": 0.0,
-    "train_loss": 0.016921637538871437,
-    "train_runtime": 3741.2612,
-    "train_samples": 1053,
-    "train_samples_per_second": 0.563,
-    "train_steps_per_second": 0.034
 }

 {
     "total_flos": 0.0,
+    "train_loss": 0.0056586482565880065,
+    "train_runtime": 7077.4538,
+    "train_samples": 2027,
+    "train_samples_per_second": 0.573,
+    "train_steps_per_second": 0.035
 }

trainer_state.json CHANGED Viewed

The diff for this file is too large to render. See raw diff