Instructions to use FrenzyMath/Reaper-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FrenzyMath/Reaper-1 with Transformers:

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

pipe = pipeline("text-generation", model="FrenzyMath/Reaper-1")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("FrenzyMath/Reaper-1", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use FrenzyMath/Reaper-1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FrenzyMath/Reaper-1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FrenzyMath/Reaper-1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/FrenzyMath/Reaper-1

SGLang

How to use FrenzyMath/Reaper-1 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 "FrenzyMath/Reaper-1" \
    --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": "FrenzyMath/Reaper-1",
		"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 "FrenzyMath/Reaper-1" \
        --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": "FrenzyMath/Reaper-1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use FrenzyMath/Reaper-1 with Docker Model Runner:
```
docker model run hf.co/FrenzyMath/Reaper-1
```

XuanzhiRen commited on Sep 10

Commit

0770ca5

verified ·

1 Parent(s): 91bc3e8

Replace reaper-1 with corrected model

Browse files

Files changed (7) hide show

reaper-1/{config.json → policy_model/config.json} +2 -80
reaper-1/{generation_config.json → policy_model/generation_config.json} +0 -0
reaper-1/{model.safetensors → policy_model/model.safetensors} +2 -2
reaper-1/scythe_vllm_dual_manifest.json +0 -11
reaper-1/training_args.bin +3 -0
reaper-1/value_bin_spec.json +0 -1355
reaper-1/value_head.pt +3 -0

reaper-1/{config.json → policy_model/config.json} RENAMED Viewed

@@ -1,6 +1,6 @@
 {
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 {
   "architectures": [
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   "attention_bias": false,
   "attention_dropout": 0.0,
   "transformers_version": "5.5.3",
   "use_cache": true,
   "use_sliding_window": false,
+  "vocab_size": 151936
 }

reaper-1/{generation_config.json → policy_model/generation_config.json} RENAMED Viewed

File without changes

reaper-1/{model.safetensors → policy_model/model.safetensors} RENAMED Viewed

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reaper-1/scythe_vllm_dual_manifest.json DELETED Viewed

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-{
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reaper-1/value_head.pt ADDED Viewed

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