Instructions to use RDson/CoderO1-14B-Preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use RDson/CoderO1-14B-Preview with Transformers:

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

pipe = pipeline("text-generation", model="RDson/CoderO1-14B-Preview")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("RDson/CoderO1-14B-Preview")
model = AutoModelForCausalLM.from_pretrained("RDson/CoderO1-14B-Preview")
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

vLLM

How to use RDson/CoderO1-14B-Preview with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "RDson/CoderO1-14B-Preview"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "RDson/CoderO1-14B-Preview",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/RDson/CoderO1-14B-Preview

SGLang

How to use RDson/CoderO1-14B-Preview 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 "RDson/CoderO1-14B-Preview" \
    --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": "RDson/CoderO1-14B-Preview",
		"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 "RDson/CoderO1-14B-Preview" \
        --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": "RDson/CoderO1-14B-Preview",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use RDson/CoderO1-14B-Preview with Docker Model Runner:
```
docker model run hf.co/RDson/CoderO1-14B-Preview
```

RDson commited on Feb 3, 2025

Commit

a9d961d

verified ·

1 Parent(s): 41ffdb1

Update README.md

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README.md +2 -7

README.md CHANGED Viewed

@@ -11,7 +11,7 @@ tags:
 - merge
 ---
-# Untitled Model (1)
 This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
@@ -35,20 +35,15 @@ The following YAML configuration was used to produce this model:
 ```yaml
 models:
   # Pivot model
-  #- model: Qwen/Qwen2.5-14B
   # Target models
   - model: Qwen/Qwen2.5-14B-Instruct
   - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
   - model: arcee-ai/Virtuoso-Small-v2
-  - model: arcee-ai/SuperNova-Medius
   - model: Krystalan/DRT-o1-14B
 merge_method: sce
 base_model: arcee-ai/SuperNova-Medius
-# Qwen/Qwen2.5-14B
 tokenizer_source: base
-# arcee-ai/Virtuoso-Small-v2
-# Qwen/Qwen2.5-14B
-# deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
 parameters:
   select_topk: 1.0
 dtype: bfloat16

 - merge
 ---
+# CoderO1-14B-Preview
 This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
 ```yaml
 models:
   # Pivot model
+  - model: arcee-ai/SuperNova-Medius
   # Target models
   - model: Qwen/Qwen2.5-14B-Instruct
   - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
   - model: arcee-ai/Virtuoso-Small-v2
   - model: Krystalan/DRT-o1-14B
 merge_method: sce
 base_model: arcee-ai/SuperNova-Medius
 tokenizer_source: base
 parameters:
   select_topk: 1.0
 dtype: bfloat16