Instructions to use Baekpica/K-EXAONE-145B-A23B-REAP-76E-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Baekpica/K-EXAONE-145B-A23B-REAP-76E-NVFP4 with Transformers:

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

pipe = pipeline("text-generation", model="Baekpica/K-EXAONE-145B-A23B-REAP-76E-NVFP4")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Baekpica/K-EXAONE-145B-A23B-REAP-76E-NVFP4")
model = AutoModelForCausalLM.from_pretrained("Baekpica/K-EXAONE-145B-A23B-REAP-76E-NVFP4", device_map="auto")
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 Settings

vLLM

How to use Baekpica/K-EXAONE-145B-A23B-REAP-76E-NVFP4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Baekpica/K-EXAONE-145B-A23B-REAP-76E-NVFP4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Baekpica/K-EXAONE-145B-A23B-REAP-76E-NVFP4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Baekpica/K-EXAONE-145B-A23B-REAP-76E-NVFP4

SGLang

How to use Baekpica/K-EXAONE-145B-A23B-REAP-76E-NVFP4 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 "Baekpica/K-EXAONE-145B-A23B-REAP-76E-NVFP4" \
    --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": "Baekpica/K-EXAONE-145B-A23B-REAP-76E-NVFP4",
		"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 "Baekpica/K-EXAONE-145B-A23B-REAP-76E-NVFP4" \
        --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": "Baekpica/K-EXAONE-145B-A23B-REAP-76E-NVFP4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Baekpica/K-EXAONE-145B-A23B-REAP-76E-NVFP4 with Docker Model Runner:
```
docker model run hf.co/Baekpica/K-EXAONE-145B-A23B-REAP-76E-NVFP4
```

Baekpica commited on Jul 12

Commit

6da956f

verified ·

1 Parent(s): 18de9cb

Replace two large safetensors shards with six smaller shards

Browse files

Reshard the 95,688,665,840-byte main checkpoint payload into six balanced ~15.95 GB files for lower transient loading memory. Tensor names, shapes, dtypes, and all 96,745,692,400 indexed payload bytes (including the unchanged MTP shard) were exhaustively verified bitwise. Index total_parameters and total_size remain unchanged.

Files changed (4) hide show

checkpoint_audit.json +2 -2
model-00001-of-00002.safetensors +0 -3
model-00002-of-00002.safetensors +0 -3
model.safetensors.index.json +0 -0

checkpoint_audit.json CHANGED Viewed

@@ -1,6 +1,6 @@
 {
   "checkpoint": "models/K-EXAONE-145B-A23B-REAP-76E-NVFP4",
-  "serialized_bytes": 96749812960,
   "index_metadata": {
     "total_parameters": 86115666376,
     "total_size": 96745692400
@@ -58,4 +58,4 @@
     "passed": true
   },
   "passed": true
-}

 {
   "checkpoint": "models/K-EXAONE-145B-A23B-REAP-76E-NVFP4",
+  "serialized_bytes": 96749837304,
   "index_metadata": {
     "total_parameters": 86115666376,
     "total_size": 96745692400
     "passed": true
   },
   "passed": true
+}

model-00001-of-00002.safetensors DELETED Viewed

@@ -1,3 +0,0 @@
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-oid sha256:8c40f36e583e9760f32f63d23fa1189a89742a5063b39ab857c25c73ed45fd08
-size 49996262104

model-00002-of-00002.safetensors DELETED Viewed

@@ -1,3 +0,0 @@
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-oid sha256:179efe413ab5c9b189959f3880a51475f89435948c3f31868244f5e255f3854e
-size 45696522648

model.safetensors.index.json CHANGED Viewed

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