Instructions to use DeepXR/Helion-V2.5-Rnd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use DeepXR/Helion-V2.5-Rnd with Transformers:

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

pipe = pipeline("text-generation", model="DeepXR/Helion-V2.5-Rnd", trust_remote_code=True)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("DeepXR/Helion-V2.5-Rnd", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("DeepXR/Helion-V2.5-Rnd", trust_remote_code=True)

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use DeepXR/Helion-V2.5-Rnd with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DeepXR/Helion-V2.5-Rnd"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DeepXR/Helion-V2.5-Rnd",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/DeepXR/Helion-V2.5-Rnd

SGLang

How to use DeepXR/Helion-V2.5-Rnd 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 "DeepXR/Helion-V2.5-Rnd" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DeepXR/Helion-V2.5-Rnd",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "DeepXR/Helion-V2.5-Rnd" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DeepXR/Helion-V2.5-Rnd",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use DeepXR/Helion-V2.5-Rnd with Docker Model Runner:
```
docker model run hf.co/DeepXR/Helion-V2.5-Rnd
```

Trouter-Library Alex Gall commited on Dec 4, 2025

Commit

3368536

verified ·

1 Parent(s): f30f448

Update config.json (#2)

Browse files

- Update config.json (f56f87fbeb1f102dba8547f7bb3cf6779c7e2f8b)

Co-authored-by: Alex Gall <AlexGall@users.noreply.huggingface.co>

Files changed (1) hide show

config.json +19 -3

config.json CHANGED Viewed

@@ -32,9 +32,25 @@
   "pad_token_id": 128001,
   "mlp_bias": false,
   "head_dim": 128,
-  "quantization_config": {
-    "load_in_8bit": false,
-    "load_in_4bit": false
   },
   "auto_map": {
     "AutoConfig": "configuration_llama.LlamaConfig",

   "pad_token_id": 128001,
   "mlp_bias": false,
   "head_dim": 128,
+  "attention_implementation": "flash_attention_2",
+  "use_sliding_window": false,
+  "sliding_window": null,
+  "quantization_config": null,
+  "safetensors": {
+    "enabled": true,
+    "total_shards": 96,
+    "shard_pattern": "model-{:05d}-of-00096.safetensors",
+    "index_file": "model.safetensors.index.json",
+    "fast_loading": true,
+    "zero_copy": true
+  },
+  "optimization": {
+    "flash_attention": true,
+    "gradient_checkpointing": false,
+    "tensor_parallel_size": 2,
+    "pipeline_parallel_size": 1,
+    "gpu_memory_fraction": 0.95,
+    "max_batch_size": 32
   },
   "auto_map": {
     "AutoConfig": "configuration_llama.LlamaConfig",