Instructions to use rene98c/Qwen3.5-397B-A17B-REAP-28-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use rene98c/Qwen3.5-397B-A17B-REAP-28-NVFP4 with Transformers:

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

pipe = pipeline("text-generation", model="rene98c/Qwen3.5-397B-A17B-REAP-28-NVFP4")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("rene98c/Qwen3.5-397B-A17B-REAP-28-NVFP4")
model = AutoModelForMultimodalLM.from_pretrained("rene98c/Qwen3.5-397B-A17B-REAP-28-NVFP4", device_map="auto")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.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(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use rene98c/Qwen3.5-397B-A17B-REAP-28-NVFP4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "rene98c/Qwen3.5-397B-A17B-REAP-28-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": "rene98c/Qwen3.5-397B-A17B-REAP-28-NVFP4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/rene98c/Qwen3.5-397B-A17B-REAP-28-NVFP4

SGLang

How to use rene98c/Qwen3.5-397B-A17B-REAP-28-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 "rene98c/Qwen3.5-397B-A17B-REAP-28-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": "rene98c/Qwen3.5-397B-A17B-REAP-28-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 "rene98c/Qwen3.5-397B-A17B-REAP-28-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": "rene98c/Qwen3.5-397B-A17B-REAP-28-NVFP4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use rene98c/Qwen3.5-397B-A17B-REAP-28-NVFP4 with Docker Model Runner:
```
docker model run hf.co/rene98c/Qwen3.5-397B-A17B-REAP-28-NVFP4
```

rene98c commited on Mar 10

Commit

4878785

verified ·

1 Parent(s): 207d340

Upload folder using huggingface_hub

Browse files

Files changed (12) hide show

.gitattributes +2 -0
chat_template.jinja +154 -0
config.json +894 -0
generation_config.json +13 -0
model-00001-of-00004.safetensors +3 -0
model-00002-of-00004.safetensors +3 -0
model-00003-of-00004.safetensors +3 -0
model-00004-of-00004.safetensors +3 -0
model.safetensors.index.json +3 -0
recipe.yaml +22 -0
tokenizer.json +3 -0
tokenizer_config.json +31 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+model.safetensors.index.json filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

chat_template.jinja ADDED Viewed

	@@ -0,0 +1,154 @@

+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+    {%- if content is string %}
+        {{- content }}
+    {%- elif content is iterable and content is not mapping %}
+        {%- for item in content %}
+            {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain images.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set image_count.value = image_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Picture ' ~ image_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+            {%- elif 'video' in item or item.type == 'video' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain videos.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set video_count.value = video_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Video ' ~ video_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+            {%- elif 'text' in item %}
+                {{- item.text }}
+            {%- else %}
+                {{- raise_exception('Unexpected item type in content.') }}
+            {%- endif %}
+        {%- endfor %}
+    {%- elif content is none or content is undefined %}
+        {{- '' }}
+    {%- else %}
+        {{- raise_exception('Unexpected content type.') }}
+    {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+    {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+    {{- '<|im_start|>system\n' }}
+    {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>" }}
+    {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {%- if content %}
+            {{- '\n\n' + content }}
+        {%- endif %}
+    {%- endif %}
+    {{- '<|im_end|>\n' }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" %}
+        {%- set content = render_content(message.content, false)|trim %}
+        {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
+            {%- set ns.multi_step_tool = false %}
+            {%- set ns.last_query_index = index %}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+    {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+    {%- set content = render_content(message.content, true)|trim %}
+    {%- if message.role == "system" %}
+        {%- if not loop.first %}
+            {{- raise_exception('System message must be at the beginning.') }}
+        {%- endif %}
+    {%- elif message.role == "user" %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- set reasoning_content = reasoning_content|trim %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if tool_call.function is defined %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {%- if loop.first %}
+                    {%- if content|trim %}
+                        {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- else %}
+                        {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- endif %}
+                {%- else %}
+                    {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                {%- endif %}
+                {%- if tool_call.arguments is defined %}
+                    {%- for args_name, args_value in tool_call.arguments|items %}
+                        {{- '<parameter=' + args_name + '>\n' }}
+                        {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+                        {{- args_value }}
+                        {{- '\n</parameter>\n' }}
+                    {%- endfor %}
+                {%- endif %}
+                {{- '</function>\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.previtem and loop.previtem.role != "tool" %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if not loop.last and loop.nextitem.role != "tool" %}
+            {{- '<|im_end|>\n' }}
+        {%- elif loop.last %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- else %}
+        {{- raise_exception('Unexpected message role.') }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- else %}
+        {{- '<think>\n' }}
+    {%- endif %}
+{%- endif %}

config.json ADDED Viewed

	@@ -0,0 +1,894 @@

+{
+  "architectures": [
+    "Qwen3_5MoeForConditionalGeneration"
+  ],
+  "dtype": "bfloat16",
+  "model_type": "qwen3_5_moe",
+  "quantization_config": {
+    "config_groups": {
+      "group_0": {
+        "format": "nvfp4-pack-quantized",
+        "input_activations": {
+          "actorder": null,
+          "block_structure": null,
+          "dynamic": "local",
+          "group_size": 16,
+          "num_bits": 4,
+          "observer": "static_minmax",
+          "observer_kwargs": {},
+          "scale_dtype": "torch.float8_e4m3fn",
+          "strategy": "tensor_group",
+          "symmetric": true,
+          "type": "float",
+          "zp_dtype": null
+        },
+        "output_activations": null,
+        "targets": [
+          "Linear"
+        ],
+        "weights": {
+          "actorder": null,
+          "block_structure": null,
+          "dynamic": false,
+          "group_size": 16,
+          "num_bits": 4,
+          "observer": "memoryless_minmax",
+          "observer_kwargs": {},
+          "scale_dtype": "torch.float8_e4m3fn",
+          "strategy": "tensor_group",
+          "symmetric": true,
+          "type": "float",
+          "zp_dtype": null
+        }
+      }
+    },
+    "format": "nvfp4-pack-quantized",
+    "global_compression_ratio": null,
+    "ignore": [
+      "language_model.model.layers.0.linear_attn.in_proj_a",
+      "language_model.model.layers.0.linear_attn.in_proj_b",
+      "language_model.model.layers.0.linear_attn.in_proj_qkv",
+      "language_model.model.layers.0.linear_attn.in_proj_z",
+      "language_model.model.layers.0.linear_attn.out_proj",
+      "language_model.model.layers.0.mlp.gate",
+      "language_model.model.layers.0.mlp.shared_expert.down_proj",
+      "language_model.model.layers.0.mlp.shared_expert.gate_proj",
+      "language_model.model.layers.0.mlp.shared_expert.up_proj",
+      "language_model.model.layers.0.mlp.shared_expert_gate",
+      "language_model.model.layers.1.linear_attn.in_proj_a",
+      "language_model.model.layers.1.linear_attn.in_proj_b",
+      "language_model.model.layers.1.linear_attn.in_proj_qkv",
+      "language_model.model.layers.1.linear_attn.in_proj_z",
+      "language_model.model.layers.1.linear_attn.out_proj",
+      "language_model.model.layers.1.mlp.gate",
+      "language_model.model.layers.1.mlp.shared_expert.down_proj",
+      "language_model.model.layers.1.mlp.shared_expert.gate_proj",
+      "language_model.model.layers.1.mlp.shared_expert.up_proj",
+      "language_model.model.layers.1.mlp.shared_expert_gate",
+      "language_model.model.layers.2.linear_attn.in_proj_a",
+      "language_model.model.layers.2.linear_attn.in_proj_b",
+      "language_model.model.layers.2.linear_attn.in_proj_qkv",
+      "language_model.model.layers.2.linear_attn.in_proj_z",
+      "language_model.model.layers.2.linear_attn.out_proj",
+      "language_model.model.layers.2.mlp.gate",
+      "language_model.model.layers.2.mlp.shared_expert.down_proj",
+      "language_model.model.layers.2.mlp.shared_expert.gate_proj",
+      "language_model.model.layers.2.mlp.shared_expert.up_proj",
+      "language_model.model.layers.2.mlp.shared_expert_gate",
+      "language_model.model.layers.3.linear_attn.in_proj_a",
+      "language_model.model.layers.3.linear_attn.in_proj_b",
+      "language_model.model.layers.3.linear_attn.in_proj_qkv",
+      "language_model.model.layers.3.linear_attn.in_proj_z",
+      "language_model.model.layers.3.linear_attn.out_proj",
+      "language_model.model.layers.3.mlp.gate",
+      "language_model.model.layers.3.mlp.shared_expert.down_proj",
+      "language_model.model.layers.3.mlp.shared_expert.gate_proj",
+      "language_model.model.layers.3.mlp.shared_expert.up_proj",
+      "language_model.model.layers.3.mlp.shared_expert_gate",
+      "language_model.model.layers.3.self_attn.k_proj",
+      "language_model.model.layers.3.self_attn.o_proj",
+      "language_model.model.layers.3.self_attn.q_proj",
+      "language_model.model.layers.3.self_attn.v_proj",
+      "language_model.model.layers.4.linear_attn.in_proj_a",
+      "language_model.model.layers.4.linear_attn.in_proj_b",
+      "language_model.model.layers.4.linear_attn.in_proj_qkv",
+      "language_model.model.layers.4.linear_attn.in_proj_z",
+      "language_model.model.layers.4.linear_attn.out_proj",
+      "language_model.model.layers.4.mlp.gate",
+      "language_model.model.layers.4.mlp.shared_expert.down_proj",
+      "language_model.model.layers.4.mlp.shared_expert.gate_proj",
+      "language_model.model.layers.4.mlp.shared_expert.up_proj",
+      "language_model.model.layers.4.mlp.shared_expert_gate",
+      "language_model.model.layers.5.linear_attn.in_proj_a",
+      "language_model.model.layers.5.linear_attn.in_proj_b",
+      "language_model.model.layers.5.linear_attn.in_proj_qkv",
+      "language_model.model.layers.5.linear_attn.in_proj_z",
+      "language_model.model.layers.5.linear_attn.out_proj",
+      "language_model.model.layers.5.mlp.gate",
+      "language_model.model.layers.5.mlp.shared_expert.down_proj",
+      "language_model.model.layers.5.mlp.shared_expert.gate_proj",
+      "language_model.model.layers.5.mlp.shared_expert.up_proj",
+      "language_model.model.layers.5.mlp.shared_expert_gate",
+      "language_model.model.layers.6.linear_attn.in_proj_a",
+      "language_model.model.layers.6.linear_attn.in_proj_b",
+      "language_model.model.layers.6.linear_attn.in_proj_qkv",
+      "language_model.model.layers.6.linear_attn.in_proj_z",
+      "language_model.model.layers.6.linear_attn.out_proj",
+      "language_model.model.layers.6.mlp.gate",
+      "language_model.model.layers.6.mlp.shared_expert.down_proj",
+      "language_model.model.layers.6.mlp.shared_expert.gate_proj",
+      "language_model.model.layers.6.mlp.shared_expert.up_proj",
+      "language_model.model.layers.6.mlp.shared_expert_gate",
+      "language_model.model.layers.7.linear_attn.in_proj_a",
+      "language_model.model.layers.7.linear_attn.in_proj_b",
+      "language_model.model.layers.7.linear_attn.in_proj_qkv",
+      "language_model.model.layers.7.linear_attn.in_proj_z",
+      "language_model.model.layers.7.linear_attn.out_proj",
+      "language_model.model.layers.7.mlp.gate",
+      "language_model.model.layers.7.mlp.shared_expert.down_proj",
+      "language_model.model.layers.7.mlp.shared_expert.gate_proj",
+      "language_model.model.layers.7.mlp.shared_expert.up_proj",
+      "language_model.model.layers.7.mlp.shared_expert_gate",
+      "language_model.model.layers.7.self_attn.k_proj",
+      "language_model.model.layers.7.self_attn.o_proj",
+      "language_model.model.layers.7.self_attn.q_proj",
+      "language_model.model.layers.7.self_attn.v_proj",
+      "language_model.model.layers.8.linear_attn.in_proj_a",
+      "language_model.model.layers.8.linear_attn.in_proj_b",
+      "language_model.model.layers.8.linear_attn.in_proj_qkv",
+      "language_model.model.layers.8.linear_attn.in_proj_z",
+      "language_model.model.layers.8.linear_attn.out_proj",
+      "language_model.model.layers.8.mlp.gate",
+      "language_model.model.layers.8.mlp.shared_expert.down_proj",
+      "language_model.model.layers.8.mlp.shared_expert.gate_proj",
+      "language_model.model.layers.8.mlp.shared_expert.up_proj",
+      "language_model.model.layers.8.mlp.shared_expert_gate",
+      "language_model.model.layers.9.linear_attn.in_proj_a",
+      "language_model.model.layers.9.linear_attn.in_proj_b",
+      "language_model.model.layers.9.linear_attn.in_proj_qkv",
+      "language_model.model.layers.9.linear_attn.in_proj_z",
+      "language_model.model.layers.9.linear_attn.out_proj",
+      "language_model.model.layers.9.mlp.gate",
+      "language_model.model.layers.9.mlp.shared_expert.down_proj",
+      "language_model.model.layers.9.mlp.shared_expert.gate_proj",
+      "language_model.model.layers.9.mlp.shared_expert.up_proj",
+      "language_model.model.layers.9.mlp.shared_expert_gate",
+      "language_model.model.layers.10.linear_attn.in_proj_a",
+      "language_model.model.layers.10.linear_attn.in_proj_b",
+      "language_model.model.layers.10.linear_attn.in_proj_qkv",
+      "language_model.model.layers.10.linear_attn.in_proj_z",
+      "language_model.model.layers.10.linear_attn.out_proj",
+      "language_model.model.layers.10.mlp.gate",
+      "language_model.model.layers.10.mlp.shared_expert.down_proj",
+      "language_model.model.layers.10.mlp.shared_expert.gate_proj",
+      "language_model.model.layers.10.mlp.shared_expert.up_proj",
+      "language_model.model.layers.10.mlp.shared_expert_gate",
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+      targets: [Linear]
+      ignore: [lm_head, 're:.*visual.*', 're:.*linear_attn\.in_proj_a', 're:.*linear_attn\.in_proj_b',
+        're:.*mlp\.gate$', 're:.*shared_expert_gate', 're:.*linear_attn\.in_proj_qkv', 're:.*linear_attn\.in_proj_z',
+        're:.*linear_attn\.out_proj', 're:.*mlp\.shared_expert\.gate_proj', 're:.*mlp\.shared_expert\.up_proj',
+        're:.*mlp\.shared_expert\.down_proj', 're:.*self_attn\.q_proj', 're:.*self_attn\.k_proj',
+        're:.*self_attn\.v_proj', 're:.*self_attn\.o_proj']
+      scheme: NVFP4
+      bypass_divisibility_checks: false
+      mappings:
+      - smooth_layer: re:.*post_attention_layernorm$
+        balance_layers: ['re:.*mlp\.shared_expert\.gate_proj$', 're:.*mlp\.shared_expert\.up_proj$']
+        activation_hook_target: null
+      - smooth_layer: re:.*shared_expert\.up_proj$
+        balance_layers: ['re:.*shared_expert\.down_proj$']
+        activation_hook_target: null
+      offload_device: !!python/object/apply:torch.device [cpu]
+      duo_scaling: both
+      n_grid: 20
+      grid_batch_size: 16

tokenizer.json ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:3cf4da4ae047ec5d7e962adf31efe1c9db4b33ae3079bdf6518e716bf25c6dbd
+size 19989623

tokenizer_config.json ADDED Viewed

	@@ -0,0 +1,31 @@

+{
+  "add_prefix_space": false,
+  "audio_bos_token": "<|audio_start|>",
+  "audio_eos_token": "<|audio_end|>",
+  "audio_token": "<|audio_pad|>",
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "image_token": "<|image_pad|>",
+  "is_local": true,
+  "model_max_length": 262144,
+  "model_specific_special_tokens": {
+    "audio_bos_token": "<|audio_start|>",
+    "audio_eos_token": "<|audio_end|>",
+    "audio_token": "<|audio_pad|>",
+    "image_token": "<|image_pad|>",
+    "video_token": "<|video_pad|>",
+    "vision_bos_token": "<|vision_start|>",
+    "vision_eos_token": "<|vision_end|>"
+  },
+  "pad_token": "<|endoftext|>",
+  "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+  "split_special_tokens": false,
+  "tokenizer_class": "TokenizersBackend",
+  "unk_token": null,
+  "video_token": "<|video_pad|>",
+  "vision_bos_token": "<|vision_start|>",
+  "vision_eos_token": "<|vision_end|>"
+}