Instructions to use Brain2nd/NeuronSpark-V4-1.16B-Pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Brain2nd/NeuronSpark-V4-1.16B-Pretrain with Transformers:

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

pipe = pipeline("text-generation", model="Brain2nd/NeuronSpark-V4-1.16B-Pretrain", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("Brain2nd/NeuronSpark-V4-1.16B-Pretrain", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Brain2nd/NeuronSpark-V4-1.16B-Pretrain with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Brain2nd/NeuronSpark-V4-1.16B-Pretrain"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Brain2nd/NeuronSpark-V4-1.16B-Pretrain",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Brain2nd/NeuronSpark-V4-1.16B-Pretrain

SGLang

How to use Brain2nd/NeuronSpark-V4-1.16B-Pretrain 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 "Brain2nd/NeuronSpark-V4-1.16B-Pretrain" \
    --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": "Brain2nd/NeuronSpark-V4-1.16B-Pretrain",
		"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 "Brain2nd/NeuronSpark-V4-1.16B-Pretrain" \
        --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": "Brain2nd/NeuronSpark-V4-1.16B-Pretrain",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Brain2nd/NeuronSpark-V4-1.16B-Pretrain with Docker Model Runner:
```
docker model run hf.co/Brain2nd/NeuronSpark-V4-1.16B-Pretrain
```

Brain2nd commited on May 29

Commit

e1a87fd

verified ·

1 Parent(s): b7f6a86

Fix pretrain EOS ids

Browse files

Files changed (2) hide show

config.json +3 -2
generation_config.json +3 -2

config.json CHANGED Viewed

@@ -15,15 +15,16 @@
   },
   "bias_balancing_ema": 0.99,
   "bias_balancing_lr": 0.001,
-  "bos_token_id": 1,
   "dtype": "bfloat16",
-  "eos_token_id": 2,
   "eps_explore": 0.05,
   "k_predictor_hidden": 256,
   "memory_layer_interval": 4,
   "model_type": "neuronspark",
   "num_hidden_layers": 24,
   "num_layers": 24,
   "ponder_T_final": 0.3,
   "ponder_T_init": 2.0,
   "rope_layout": "transformer_interleaved",

   },
   "bias_balancing_ema": 0.99,
   "bias_balancing_lr": 0.001,
+  "bos_token_id": null,
   "dtype": "bfloat16",
+  "eos_token_id": 128361,
   "eps_explore": 0.05,
   "k_predictor_hidden": 256,
   "memory_layer_interval": 4,
   "model_type": "neuronspark",
   "num_hidden_layers": 24,
   "num_layers": 24,
+  "pad_token_id": 128361,
   "ponder_T_final": 0.3,
   "ponder_T_init": 2.0,
   "rope_layout": "transformer_interleaved",

generation_config.json CHANGED Viewed

@@ -1,9 +1,10 @@
 {
   "_from_model_config": true,
-  "bos_token_id": 1,
-  "eos_token_id": 2,
   "output_attentions": false,
   "output_hidden_states": false,
   "transformers_version": "5.6.2",
   "use_cache": false
 }

 {
   "_from_model_config": true,
+  "bos_token_id": null,
+  "eos_token_id": 128361,
   "output_attentions": false,
   "output_hidden_states": false,
+  "pad_token_id": 128361,
   "transformers_version": "5.6.2",
   "use_cache": false
 }