Instructions to use NousResearch/Hermes-4-405B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NousResearch/Hermes-4-405B with Transformers:

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

pipe = pipeline("text-generation", model="NousResearch/Hermes-4-405B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("NousResearch/Hermes-4-405B")
model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-4-405B", 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 NousResearch/Hermes-4-405B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NousResearch/Hermes-4-405B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "NousResearch/Hermes-4-405B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/NousResearch/Hermes-4-405B

SGLang

How to use NousResearch/Hermes-4-405B 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 "NousResearch/Hermes-4-405B" \
    --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": "NousResearch/Hermes-4-405B",
		"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 "NousResearch/Hermes-4-405B" \
        --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": "NousResearch/Hermes-4-405B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use NousResearch/Hermes-4-405B with Docker Model Runner:
```
docker model run hf.co/NousResearch/Hermes-4-405B
```

teknium commited on Aug 26, 2025

Commit

6c26d2d

verified ·

1 Parent(s): 54487fb

Update chat_template.jinja

Browse files

Files changed (1) hide show

chat_template.jinja +21 -6

chat_template.jinja CHANGED Viewed

@@ -1,6 +1,7 @@
 {%- set thinking_prompt = 'You are a deep thinking AI, you may use extremely long chains of thought to deeply consider the problem and deliberate with yourself via systematic reasoning processes to help come to a correct solution prior to answering. You should enclose your thoughts and internal monologue inside <think> </think> tags, and then provide your solution or response to the problem.' %}
 {%- set standard_prompt = 'You are Hermes, created by Nous Research.' %}
 {%- if not thinking is defined %}{% set thinking = false %}{% endif %}
 {%- if thinking %}{%- set system_prompt = thinking_prompt %}{%- else %}{%- set system_prompt = standard_prompt %}{%- endif %}
 {%- if tools %}
     {{- bos_token + '<|start_header_id|>system<|end_header_id|>\n' }}
@@ -23,12 +24,29 @@
     {%- endif %}
 {%- endif %}
 {%- for message in messages %}
-    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
         {{- '<|start_header_id|>' + message.role + '<|end_header_id|>\n\n' + message.content + '<|eot_id|>' }}
     {%- elif message.role == "assistant" %}
         {{- '<|start_header_id|>' + message.role + '<|end_header_id|>\n' }}
         {%- if message.content %}
-            {{- '\n' + message.content }}
         {%- endif %}
         {%- for tool_call in message.tool_calls %}
             {%- if tool_call.function is defined %}
@@ -55,7 +73,4 @@
 {%- endfor %}
 {%- if add_generation_prompt %}
     {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
-    {%- if thinking %}
-        {{- '<think>' }}
-    {%- endif %}
-{%- endif %}

 {%- set thinking_prompt = 'You are a deep thinking AI, you may use extremely long chains of thought to deeply consider the problem and deliberate with yourself via systematic reasoning processes to help come to a correct solution prior to answering. You should enclose your thoughts and internal monologue inside <think> </think> tags, and then provide your solution or response to the problem.' %}
 {%- set standard_prompt = 'You are Hermes, created by Nous Research.' %}
 {%- if not thinking is defined %}{% set thinking = false %}{% endif %}
+{%- if not keep_cots is defined %}{% set keep_cots = false %}{% endif %}
 {%- if thinking %}{%- set system_prompt = thinking_prompt %}{%- else %}{%- set system_prompt = standard_prompt %}{%- endif %}
 {%- if tools %}
     {{- bos_token + '<|start_header_id|>system<|end_header_id|>\n' }}
     {%- endif %}
 {%- endif %}
 {%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
         {{- '<|start_header_id|>' + message.role + '<|end_header_id|>\n\n' + message.content + '<|eot_id|>' }}
+    {%- elif (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|start_header_id|>' + message.role + '<|end_header_id|>\n' }}
+        {%- if message.content %}
+            {%- set content = message['content'] -%}
+            {%- if thinking %}
+                {%- if not keep_cots %}
+                    {%- set content = '<think> </think>' + content.split('</think>', 1)[1] -%}
+                {%- endif %}
+            {%- endif %}
+            {{- '\n' + content + '<|eot_id|>' }}
+        {%- endif %}
     {%- elif message.role == "assistant" %}
         {{- '<|start_header_id|>' + message.role + '<|end_header_id|>\n' }}
         {%- if message.content %}
+            {%- set content = message['content'] -%}
+            {%- if thinking %}
+                {%- if not keep_cots %}
+                    {%- set content = '<think> </think>' + content.split('</think>', 1)[1] -%}
+                {%- endif %}
+            {%- endif %}
+            {{- '\n' + content }}
         {%- endif %}
         {%- for tool_call in message.tool_calls %}
             {%- if tool_call.function is defined %}
 {%- endfor %}
 {%- if add_generation_prompt %}
     {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
+{%- endif %}