Instructions to use tencent/Hunyuan-7B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tencent/Hunyuan-7B-Instruct with Transformers:

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

pipe = pipeline("text-generation", model="tencent/Hunyuan-7B-Instruct")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("tencent/Hunyuan-7B-Instruct")
model = AutoModelForCausalLM.from_pretrained("tencent/Hunyuan-7B-Instruct")
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 tencent/Hunyuan-7B-Instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "tencent/Hunyuan-7B-Instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "tencent/Hunyuan-7B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/tencent/Hunyuan-7B-Instruct

SGLang

How to use tencent/Hunyuan-7B-Instruct 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 "tencent/Hunyuan-7B-Instruct" \
    --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": "tencent/Hunyuan-7B-Instruct",
		"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 "tencent/Hunyuan-7B-Instruct" \
        --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": "tencent/Hunyuan-7B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use tencent/Hunyuan-7B-Instruct with Docker Model Runner:
```
docker model run hf.co/tencent/Hunyuan-7B-Instruct
```

manaestras commited on Sep 1, 2025

Commit

8d7edf6

verified ·

1 Parent(s): e32abcb

Upload tokenizer_config.json with huggingface_hub

Browse files

Files changed (1) hide show

tokenizer_config.json +6 -16

tokenizer_config.json CHANGED Viewed

@@ -1,19 +1,9 @@
 {
-  "architectures": [
-    "GPT2LMHeadModel"
-  ],
-  "model_max_length": 262144,
-  "tokenizer_class": "HYTokenizer",
-  "auto_map": {
-    "AutoTokenizer": [
-      "tokenization_hy.HYTokenizer",
-      null
-      ]
-  },
-  "eos_token": "<|eos|>",
   "bos_token": "<|startoftext|>",
-  "model_type": "gpt2",
-  "additional_special_tokens": ["<|startoftext|>", "<|extra_0|>", "<|extra_4|>", "<|extra_5|>", "<|eos|>"],
   "pad_token": "<|pad|>",
-  "chat_template": "{%- if not add_generation_prompt is defined %}\n    {%- set add_generation_prompt = false %}\n{%- endif %}\n{%- set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='', is_first_sp=true, is_first_user=true, is_last_user=false) %}\n{%- for message in messages %}\n    {%- if message['role'] == 'system' %}\n        {%- if ns.is_first_sp %}\n            {%- set ns.system_prompt = ns.system_prompt + message['content'] %}\n            {%- set ns.is_first_sp = false %}\n        {%- else %}\n            {%- set ns.system_prompt = ns.system_prompt + '\n\n' + message['content'] %}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{{- bos_token }}\n{{- ns.system_prompt }}\n{%- if tools %}\n    {%- if ns.system_prompt != '' %}\n        {{- '\n\n# Tools\n\nYou may call one or more functions to assist with the user query.' }}\n    {%- else %}\n        {{- '# Tools\n\nYou may call one or more functions to assist with the user query.' }}\n    {%- endif %}\n    {{- '\n\nYou are provided with function signatures within <tools></tools> XML tags:' }}\n    {{- '\n<tools>\n' }}\n    {%- for tool in tools %}\n        {%- if loop.index0 > 0 %}\n            {{- '\n' }}\n        {%- endif %}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- '\n</tools>\n\n' }}\n    {{- 'For function call returns, you should first print <tool_calls>' }}\n    {{- 'For each function call, you should return object like:\n' }}\n    {{- '<tool_call>function_name\n```json\nfunction_arguments_in_json_format\n```</tool_call>' }}\n    {{- 'At the end of function call returns, you should print </tool_calls>' }}\n{%- endif %}\n{%- if ns.system_prompt != '' or tools %}\n    {{- '<|extra_4|>' }}\n{%- endif %}\n{%- for message in messages %}\n    {%- if message['role'] == 'user' %}\n        {%- set ns.is_tool = false %}\n        {%- set ns.is_first = false %}\n        {%- set ns.is_last_user = true %}\n        {%- if ns.is_first_user %}\n            {{- message['content'] + '<|extra_0|>' }}\n            {%- set ns.is_first_user = false %}\n        {%- else %}\n            {{- bos_token + message['content'] + '<|extra_0|>' }}\n        {%- endif %}\n    {%- endif %}\n    {%- if message['role'] == 'assistant' and message['tool_calls'] is defined and message['tool_calls'] is not none %}\n        {%- set ns.is_last_user = false %}\n        {%- if ns.is_tool %}\n            {{- '</tool_responses>' + '<|extra_0|>' }}\n        {%- endif %}\n        {%- set ns.is_first = false %}\n        {%- set ns.is_tool = false %}\n        {%- set ns.is_output_first = true %}\n        {%- for tool in message['tool_calls'] %}\n            {%- set arguments = tool['function']['arguments'] %}\n            {%- if arguments is not string %}\n                {%- set arguments = arguments | tojson %}\n            {%- endif %}\n            {%- if not ns.is_first %}\n                {%- if message['content'] is none %}\n                    {{- '<tool_calls><tool_call>' + tool['function']['name'] + '\n' + '```json' + '\n' + arguments + '\n' + '```' + '</tool_call>' }}\n                {%- else %}\n                    {{- message['content'] + '<tool_calls><tool_call>' + tool['function']['name'] + '\n' + '```json' + '\n' + arguments + '\n' + '```' + '</tool_call>' }}\n                {%- endif %}\n            {%- set ns.is_first = true %}\n            {%- else %}\n                {{- '\n' + '<tool_call>' + tool['function']['name'] + '\n' + '```json' + '\n' + arguments + '\n' + '```' + '</tool_call>' }}\n            {%- endif %}\n        {%- endfor %}\n        {{- '</tool_calls>' + eos_token }}\n    {%- endif %}\n    {%- if message['role'] == 'assistant' and (message['tool_calls'] is not defined or message['tool_calls'] is none) %}\n        {%- set content = message['content'] %}\n        {%- if '<answer>' in content and not loop.last %}\n            {%- set content = content.split('<answer>')[-1].strip('</answer>').strip() %}\n        {%- endif %}\n        {%- set ns.is_last_user = false %}\n        {%- if ns.is_tool %}\n            {{- '</tool_responses>' + '<|extra_0|>' + content + eos_token }}\n            {%- set ns.is_tool = false %}\n        {%- else %}\n            {{- content + eos_token }}\n        {%- endif %}\n    {%- endif %}\n    {%- if message['role'] == 'tool' %}\n        {%- set ns.is_last_user = false %}\n        {%- set ns.is_tool = true %}\n        {%- if ns.is_output_first %}\n            {{- bos_token + '<tool_responses><tool_response>' + message['content'] + '</tool_response>' }}\n            {%- set ns.is_output_first = false %}\n        {%- else %}\n            {{- '\n<tool_response>' + message['content'] + '</tool_response>' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if ns.is_tool %}\n    {{- '</tool_responses>' + '<|extra_0|>' }}\n{%- endif %}\n{%- if add_generation_prompt and not ns.is_last_user and not ns.is_tool %}\n    {{- '<|extra_0|>' }}\n{%- endif %}\n{%- if enable_thinking is defined and not enable_thinking %}\n    {{- '<think>\n\n</think>\n' }}\n{%- endif %}"
-}

 {
   "bos_token": "<|startoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|eos|>",
+  "model_max_length": 262144,
   "pad_token": "<|pad|>",
+  "tokenizer_class": "PreTrainedTokenizerFast",
+  "chat_template": "{% set context = {'has_head': true} %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = message['content'] %}{% if loop.index0 == 0 %}{% if content == '' %}{% set _ = context.update({'has_head': false}) %}{% elif message['role'] == 'system' %}{% set content = '<|startoftext|>' + content + '<|extra_4|>' %}{% endif %}{% endif %}{% if message['role'] == 'user' %}{% if loop.index0 == 1 and not context.has_head %}{% set content = '<|startoftext|>' + content %}{% endif %}{% if loop.index0 == 1 and context.has_head %}{% set content = content + '<|extra_0|>' %}{% else %}{% set content = '<|startoftext|>' + content + '<|extra_0|>' %}{% endif %}{% elif message['role'] == 'assistant' %}{% set content = content + '<|eos|>' %}{% endif %}{{ content }}{% endfor %}"
+}