Instructions to use reaperdoesntknow/DeepReasoning_1R with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use reaperdoesntknow/DeepReasoning_1R with Transformers:

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

pipe = pipeline("text-generation", model="reaperdoesntknow/DeepReasoning_1R")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("reaperdoesntknow/DeepReasoning_1R")
model = AutoModelForCausalLM.from_pretrained("reaperdoesntknow/DeepReasoning_1R")
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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use reaperdoesntknow/DeepReasoning_1R with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "reaperdoesntknow/DeepReasoning_1R"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "reaperdoesntknow/DeepReasoning_1R",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/reaperdoesntknow/DeepReasoning_1R

SGLang

How to use reaperdoesntknow/DeepReasoning_1R 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 "reaperdoesntknow/DeepReasoning_1R" \
    --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": "reaperdoesntknow/DeepReasoning_1R",
		"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 "reaperdoesntknow/DeepReasoning_1R" \
        --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": "reaperdoesntknow/DeepReasoning_1R",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use reaperdoesntknow/DeepReasoning_1R with Docker Model Runner:
```
docker model run hf.co/reaperdoesntknow/DeepReasoning_1R
```

reaperdoesntknow commited on Jan 31, 2025

Commit

f550ca5

verified ·

1 Parent(s): 8b1965e

Training in progress, step 30

Browse files

Files changed (2) hide show

runs/Jan31_21-29-06_composed-clover-kangaroo-8f758bd5c-r6m75/events.out.tfevents.1738358949.composed-clover-kangaroo-8f758bd5c-r6m75.19109.0 +3 -0
training_args.bin +1 -1

runs/Jan31_21-29-06_composed-clover-kangaroo-8f758bd5c-r6m75/events.out.tfevents.1738358949.composed-clover-kangaroo-8f758bd5c-r6m75.19109.0 ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:f8f1b3476638865bb09d470a047e569c096009ae00dec67d2614e6224c4a6ca3
+size 5499

training_args.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:aab73b6a5e851ddcc2b1d82de4304fd8f4a944eb4538df47840f7e0326166d41
 size 5368

 version https://git-lfs.github.com/spec/v1
+oid sha256:f0fbdea265780f625419be22d468b126e2a439791559430f3d1c5d0fb868299d
 size 5368