Instructions to use cfei621/DeepSeek-R1-Distill-Llama-8B-GRPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cfei621/DeepSeek-R1-Distill-Llama-8B-GRPO with Transformers:

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

pipe = pipeline("text-generation", model="cfei621/DeepSeek-R1-Distill-Llama-8B-GRPO")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("cfei621/DeepSeek-R1-Distill-Llama-8B-GRPO")
model = AutoModelForCausalLM.from_pretrained("cfei621/DeepSeek-R1-Distill-Llama-8B-GRPO")
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

vLLM

How to use cfei621/DeepSeek-R1-Distill-Llama-8B-GRPO with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cfei621/DeepSeek-R1-Distill-Llama-8B-GRPO"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cfei621/DeepSeek-R1-Distill-Llama-8B-GRPO",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/cfei621/DeepSeek-R1-Distill-Llama-8B-GRPO

SGLang

How to use cfei621/DeepSeek-R1-Distill-Llama-8B-GRPO 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 "cfei621/DeepSeek-R1-Distill-Llama-8B-GRPO" \
    --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": "cfei621/DeepSeek-R1-Distill-Llama-8B-GRPO",
		"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 "cfei621/DeepSeek-R1-Distill-Llama-8B-GRPO" \
        --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": "cfei621/DeepSeek-R1-Distill-Llama-8B-GRPO",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use cfei621/DeepSeek-R1-Distill-Llama-8B-GRPO with Docker Model Runner:
```
docker model run hf.co/cfei621/DeepSeek-R1-Distill-Llama-8B-GRPO
```

cfei621 commited on Apr 11, 2025

Commit

835faae

verified ·

1 Parent(s): eaf0f25

Model save

Browse files

Files changed (8) hide show

README.md +1 -1
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

README.md CHANGED Viewed

@@ -26,7 +26,7 @@ print(output["generated_text"])
 ## Training procedure
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/cfei-kaust/huggingface/runs/dkas6kch)
 This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).

 ## Training procedure
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/cfei-kaust/huggingface/runs/g4fcc6et)
 This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).

all_results.json CHANGED Viewed

@@ -1,8 +1,8 @@
 {
     "total_flos": 0.0,
-    "train_loss": 1.366488031092214,
-    "train_runtime": 85280.8428,
-    "train_samples": 8000,
-    "train_samples_per_second": 0.094,
-    "train_steps_per_second": 0.023
 }

 {
     "total_flos": 0.0,
+    "train_loss": 2.0727225511886656,
+    "train_runtime": 64632.8349,
+    "train_samples": 5455,
+    "train_samples_per_second": 0.084,
+    "train_steps_per_second": 0.021
 }

model-00001-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:23dbea6fb8470364f656ec8a3c10856046283811b9d104fa7d53efbd9f06edd0
 size 4976698672

 version https://git-lfs.github.com/spec/v1
+oid sha256:aefef14d0fa0e535974078bf6bcb49d7c8df57a6e51ee5d75ca97b8a3d8109e2
 size 4976698672

model-00002-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9bed3343ae10384b135533e32692f2511bba5a613e797f0e562f9e35537b7fd6
 size 4999802720

 version https://git-lfs.github.com/spec/v1
+oid sha256:c4e3bd4d81263468dbae202ea58905de4fc00db4f1b0c01b0917b153dfa77e67
 size 4999802720

model-00003-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:309677f767f866c1fda4f289bbb5e0ca769db6e4a5f68b175a71fa7e7f3bb4a4
 size 4915916176

 version https://git-lfs.github.com/spec/v1
+oid sha256:0feb6e3fd440cd1b7db08ccf066c480172161987639690dda3ca7680c930f6ef
 size 4915916176

model-00004-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4c4ee711d6c8eb3042f76e33b0e8aed2dbea45efe099114f7e98ee0ad7a164cc
 size 1168138808

 version https://git-lfs.github.com/spec/v1
+oid sha256:646ec58c6e3cd775c7ec73fa0c632e2d155fb68dadb8ec308cd29d06f7567d9a
 size 1168138808

train_results.json CHANGED Viewed

@@ -1,8 +1,8 @@
 {
     "total_flos": 0.0,
-    "train_loss": 1.366488031092214,
-    "train_runtime": 85280.8428,
-    "train_samples": 8000,
-    "train_samples_per_second": 0.094,
-    "train_steps_per_second": 0.023
 }

 {
     "total_flos": 0.0,
+    "train_loss": 2.0727225511886656,
+    "train_runtime": 64632.8349,
+    "train_samples": 5455,
+    "train_samples_per_second": 0.084,
+    "train_steps_per_second": 0.021
 }

trainer_state.json CHANGED Viewed

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