Instructions to use Sethblocks/Starlight-Flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sethblocks/Starlight-Flash with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Sethblocks/Starlight-Flash") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Sethblocks/Starlight-Flash") model = AutoModelForCausalLM.from_pretrained("Sethblocks/Starlight-Flash", 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=256) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Sethblocks/Starlight-Flash with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Sethblocks/Starlight-Flash" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Sethblocks/Starlight-Flash", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Sethblocks/Starlight-Flash
- SGLang
How to use Sethblocks/Starlight-Flash 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 "Sethblocks/Starlight-Flash" \ --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": "Sethblocks/Starlight-Flash", "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 "Sethblocks/Starlight-Flash" \ --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": "Sethblocks/Starlight-Flash", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Sethblocks/Starlight-Flash with Docker Model Runner:
docker model run hf.co/Sethblocks/Starlight-Flash
Add Starlight-Flash bf16 weights
Browse files- .gitattributes +1 -0
- README.md +18 -0
- chat_template.jinja +155 -0
- config.json +83 -0
- generation_config.json +8 -0
- model-00001.safetensors +3 -0
- model-00002.safetensors +3 -0
- model-00003.safetensors +3 -0
- model-00004.safetensors +3 -0
- model.safetensors.index.json +1 -0
- tokenizer.json +3 -0
- tokenizer_config.json +31 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
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@@ -0,0 +1,18 @@
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| 1 |
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---
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| 2 |
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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| 5 |
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- qwen3_5
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| 6 |
+
---
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| 7 |
+
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| 8 |
+
# Starlight-Flash
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| 9 |
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| 10 |
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Qwen3.5 text causal LM (`Qwen3_5ForCausalLM`).
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| 11 |
+
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| 12 |
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- 32 layers, hidden size 4096, intermediate size 12288
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| 13 |
+
- vocab 248320
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| 14 |
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- dtype bf16
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| 15 |
+
- context 262144
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| 16 |
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- four safetensor shards
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| 17 |
+
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| 18 |
+
GGUF is a separate repo: [Sethblocks/Starlight-Flash-GGUF](https://huggingface.co/Sethblocks/Starlight-Flash-GGUF) (`Starlight-Flash-9.2B-Q8_0.gguf`).
|
chat_template.jinja
ADDED
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@@ -0,0 +1,155 @@
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| 1 |
+
{%- set image_count = namespace(value=0) %}
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| 2 |
+
{%- set video_count = namespace(value=0) %}
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| 3 |
+
{%- macro render_content(content, do_vision_count, is_system_content=false) %}
|
| 4 |
+
{%- if content is string %}
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| 5 |
+
{{- content }}
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| 6 |
+
{%- elif content is iterable and content is not mapping %}
|
| 7 |
+
{%- for item in content %}
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| 8 |
+
{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
|
| 9 |
+
{%- if is_system_content %}
|
| 10 |
+
{{- raise_exception('System message cannot contain images.') }}
|
| 11 |
+
{%- endif %}
|
| 12 |
+
{%- if do_vision_count %}
|
| 13 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{%- if add_vision_id %}
|
| 16 |
+
{{- 'Picture ' ~ image_count.value ~ ': ' }}
|
| 17 |
+
{%- endif %}
|
| 18 |
+
{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
|
| 19 |
+
{%- elif 'video' in item or item.type == 'video' %}
|
| 20 |
+
{%- if is_system_content %}
|
| 21 |
+
{{- raise_exception('System message cannot contain videos.') }}
|
| 22 |
+
{%- endif %}
|
| 23 |
+
{%- if do_vision_count %}
|
| 24 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 25 |
+
{%- endif %}
|
| 26 |
+
{%- if add_vision_id %}
|
| 27 |
+
{{- 'Video ' ~ video_count.value ~ ': ' }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
|
| 30 |
+
{%- elif 'text' in item %}
|
| 31 |
+
{{- item.text }}
|
| 32 |
+
{%- else %}
|
| 33 |
+
{{- raise_exception('Unexpected item type in content.') }}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endfor %}
|
| 36 |
+
{%- elif content is none or content is undefined %}
|
| 37 |
+
{{- '' }}
|
| 38 |
+
{%- else %}
|
| 39 |
+
{{- raise_exception('Unexpected content type.') }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endmacro %}
|
| 42 |
+
{%- if not messages %}
|
| 43 |
+
{{- raise_exception('No messages provided.') }}
|
| 44 |
+
{%- endif %}
|
| 45 |
+
{%- if tools and tools is iterable and tools is not mapping %}
|
| 46 |
+
{{- '<|im_start|>system\n' }}
|
| 47 |
+
{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
|
| 48 |
+
{%- for tool in tools %}
|
| 49 |
+
{{- "\n" }}
|
| 50 |
+
{{- tool | tojson }}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{{- "\n</tools>" }}
|
| 53 |
+
{{- '\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>' }}
|
| 54 |
+
{%- if messages[0].role == 'system' %}
|
| 55 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 56 |
+
{%- if content %}
|
| 57 |
+
{{- '\n\n' + content }}
|
| 58 |
+
{%- endif %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<|im_end|>\n' }}
|
| 61 |
+
{%- else %}
|
| 62 |
+
{%- if messages[0].role == 'system' %}
|
| 63 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 64 |
+
{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
|
| 65 |
+
{%- endif %}
|
| 66 |
+
{%- endif %}
|
| 67 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 68 |
+
{%- for message in messages[::-1] %}
|
| 69 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 70 |
+
{%- if ns.multi_step_tool and message.role == "user" %}
|
| 71 |
+
{%- set content = render_content(message.content, false)|trim %}
|
| 72 |
+
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 73 |
+
{%- set ns.multi_step_tool = false %}
|
| 74 |
+
{%- set ns.last_query_index = index %}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{%- endif %}
|
| 77 |
+
{%- endfor %}
|
| 78 |
+
|
| 79 |
+
{%- for message in messages %}
|
| 80 |
+
{%- set content = render_content(message.content, true)|trim %}
|
| 81 |
+
{%- if message.role == "system" %}
|
| 82 |
+
{%- if not loop.first %}
|
| 83 |
+
{{- raise_exception('System message must be at the beginning.') }}
|
| 84 |
+
{%- endif %}
|
| 85 |
+
{%- elif message.role == "user" %}
|
| 86 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 87 |
+
{%- elif message.role == "assistant" %}
|
| 88 |
+
{%- generation -%}
|
| 89 |
+
{%- set reasoning_content = '' %}
|
| 90 |
+
{%- if message.reasoning_content is string %}
|
| 91 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 92 |
+
{%- else %}
|
| 93 |
+
{%- if '</think>' in content %}
|
| 94 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 95 |
+
{# {%- set content = content.split('</think>')[-1].lstrip('\n') %} #}
|
| 96 |
+
{%- endif %}
|
| 97 |
+
{%- endif %}
|
| 98 |
+
{%- set reasoning_content = reasoning_content|trim %}
|
| 99 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 100 |
+
{# {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }} #}
|
| 101 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 102 |
+
{%- else %}
|
| 103 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 104 |
+
{%- endif %}
|
| 105 |
+
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
|
| 106 |
+
{%- for tool_call in message.tool_calls %}
|
| 107 |
+
{%- if tool_call.function is defined %}
|
| 108 |
+
{%- set tool_call = tool_call.function %}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{%- if loop.first %}
|
| 111 |
+
{%- if content|trim %}
|
| 112 |
+
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 113 |
+
{%- else %}
|
| 114 |
+
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 115 |
+
{%- endif %}
|
| 116 |
+
{%- else %}
|
| 117 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 118 |
+
{%- endif %}
|
| 119 |
+
{%- if tool_call.arguments is defined %}
|
| 120 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 121 |
+
{{- '<parameter=' + args_name + '>\n' }}
|
| 122 |
+
{%- 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 %}
|
| 123 |
+
{{- args_value }}
|
| 124 |
+
{{- '\n</parameter>\n' }}
|
| 125 |
+
{%- endfor %}
|
| 126 |
+
{%- endif %}
|
| 127 |
+
{{- '</function>\n</tool_call>' }}
|
| 128 |
+
{%- endfor %}
|
| 129 |
+
{%- endif %}
|
| 130 |
+
{{- '<|im_end|>\n' }}
|
| 131 |
+
{% endgeneration %}
|
| 132 |
+
{%- elif message.role == "tool" %}
|
| 133 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 134 |
+
{{- '<|im_start|>user' }}
|
| 135 |
+
{%- endif %}
|
| 136 |
+
{{- '\n<tool_response>\n' }}
|
| 137 |
+
{{- content }}
|
| 138 |
+
{{- '\n</tool_response>' }}
|
| 139 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 140 |
+
{{- '<|im_end|>\n' }}
|
| 141 |
+
{%- elif loop.last %}
|
| 142 |
+
{{- '<|im_end|>\n' }}
|
| 143 |
+
{%- endif %}
|
| 144 |
+
{%- else %}
|
| 145 |
+
{{- raise_exception('Unexpected message role.') }}
|
| 146 |
+
{%- endif %}
|
| 147 |
+
{%- endfor %}
|
| 148 |
+
{%- if add_generation_prompt %}
|
| 149 |
+
{{- '<|im_start|>assistant\n' }}
|
| 150 |
+
{%- if enable_thinking is defined and enable_thinking is true %}
|
| 151 |
+
{{- '<think>\n' }}
|
| 152 |
+
{%- else %}
|
| 153 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 154 |
+
{%- endif %}
|
| 155 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,83 @@
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|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForCausalLM"
|
| 4 |
+
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version https://git-lfs.github.com/spec/v1
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oid sha256:87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
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size 19989343
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tokenizer_config.json
ADDED
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{
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"add_prefix_space": false,
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"audio_bos_token": "<|audio_start|>",
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"audio_eos_token": "<|audio_end|>",
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"audio_token": "<|audio_pad|>",
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"backend": "tokenizers",
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"image_token": "<|image_pad|>",
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"is_local": true,
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"model_max_length": 262144,
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"model_specific_special_tokens": {
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"audio_bos_token": "<|audio_start|>",
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"audio_eos_token": "<|audio_end|>",
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"audio_token": "<|audio_pad|>",
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"image_token": "<|image_pad|>",
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"video_token": "<|video_pad|>",
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"vision_bos_token": "<|vision_start|>",
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"vision_eos_token": "<|vision_end|>"
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},
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"pad_token": "<|endoftext|>",
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"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+",
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"split_special_tokens": false,
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"tokenizer_class": "TokenizersBackend",
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"unk_token": null,
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"video_token": "<|video_pad|>",
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"vision_bos_token": "<|vision_start|>",
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"vision_eos_token": "<|vision_end|>"
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}
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