Instructions to use SmallDoge/Doge-60M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use SmallDoge/Doge-60M with Transformers:

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

pipe = pipeline("text-generation", model="SmallDoge/Doge-60M", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("SmallDoge/Doge-60M", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("SmallDoge/Doge-60M", trust_remote_code=True)
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 SmallDoge/Doge-60M with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "SmallDoge/Doge-60M"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SmallDoge/Doge-60M",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/SmallDoge/Doge-60M

SGLang

How to use SmallDoge/Doge-60M 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 "SmallDoge/Doge-60M" \
    --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": "SmallDoge/Doge-60M",
		"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 "SmallDoge/Doge-60M" \
        --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": "SmallDoge/Doge-60M",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use SmallDoge/Doge-60M with Docker Model Runner:
```
docker model run hf.co/SmallDoge/Doge-60M
```

JingzeShi commited on Feb 15, 2025

Commit

b36114d

verified ·

1 Parent(s): 6d8843b

Upload tokenizer

Browse files

Files changed (2) hide show

tokenizer.json +8 -8
tokenizer_config.json +4 -4

tokenizer.json CHANGED Viewed

@@ -77,7 +77,7 @@
     },
     {
       "id": 8,
-      "content": "<think>",
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
@@ -86,7 +86,7 @@
     },
     {
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-      "content": "</think>",
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
@@ -95,7 +95,7 @@
     },
     {
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       "single_word": false,
       "lstrip": false,
       "rstrip": false,
@@ -104,7 +104,7 @@
     },
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       "rstrip": false,
@@ -2417,10 +2417,10 @@
       "<|eom_id|>": 5,
       "<|eot_id|>": 6,
       "<|python_tag|>": 7,
-      "<think>": 8,
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       "<|reserved_special_token_0|>": 12,
       "<|reserved_special_token_1|>": 13,
       "<|reserved_special_token_2|>": 14,

     },
     {
       "id": 8,
+      "content": "<|begin_of_thought|>",
       "single_word": false,
       "lstrip": false,
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     {
       "id": 9,
+      "content": "<|end_of_thought|>",
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       "lstrip": false,
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     {
       "id": 10,
+      "content": "<|begin_of_solution|>",
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
     },
     {
       "id": 11,
+      "content": "<|end_of_solution|>",
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
       "<|eom_id|>": 5,
       "<|eot_id|>": 6,
       "<|python_tag|>": 7,
+      "<|begin_of_thought|>": 8,
+      "<|end_of_thought|>": 9,
+      "<|begin_of_solution|>": 10,
+      "<|end_of_solution|>": 11,
       "<|reserved_special_token_0|>": 12,
       "<|reserved_special_token_1|>": 13,
       "<|reserved_special_token_2|>": 14,

tokenizer_config.json CHANGED Viewed

@@ -65,7 +65,7 @@
       "special": true
     },
     "8": {
-      "content": "<think>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
@@ -73,7 +73,7 @@
       "special": true
     },
     "9": {
-      "content": "</think>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
@@ -81,7 +81,7 @@
       "special": true
     },
     "10": {
-      "content": "<answer>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
@@ -89,7 +89,7 @@
       "special": true
     },
     "11": {
-      "content": "</answer>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,

       "special": true
     },
     "8": {
+      "content": "<|begin_of_thought|>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "special": true
     },
     "9": {
+      "content": "<|end_of_thought|>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "special": true
     },
     "10": {
+      "content": "<|begin_of_solution|>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "special": true
     },
     "11": {
+      "content": "<|end_of_solution|>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,