Image-Text-to-Text
Transformers
TensorBoard
Safetensors
qwen3_vl
llama-factory
full
Generated from Trainer
conversational
Instructions to use VisionXLab/FIRM-Video-8B-Qwen3VL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VisionXLab/FIRM-Video-8B-Qwen3VL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="VisionXLab/FIRM-Video-8B-Qwen3VL") 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("VisionXLab/FIRM-Video-8B-Qwen3VL") model = AutoModelForMultimodalLM.from_pretrained("VisionXLab/FIRM-Video-8B-Qwen3VL", 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 VisionXLab/FIRM-Video-8B-Qwen3VL with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "VisionXLab/FIRM-Video-8B-Qwen3VL" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "VisionXLab/FIRM-Video-8B-Qwen3VL", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/VisionXLab/FIRM-Video-8B-Qwen3VL
- SGLang
How to use VisionXLab/FIRM-Video-8B-Qwen3VL 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 "VisionXLab/FIRM-Video-8B-Qwen3VL" \ --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": "VisionXLab/FIRM-Video-8B-Qwen3VL", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'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 "VisionXLab/FIRM-Video-8B-Qwen3VL" \ --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": "VisionXLab/FIRM-Video-8B-Qwen3VL", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use VisionXLab/FIRM-Video-8B-Qwen3VL with Docker Model Runner:
docker model run hf.co/VisionXLab/FIRM-Video-8B-Qwen3VL
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +60 -0
- all_results.json +8 -0
- chat_template.jinja +120 -0
- config.json +70 -0
- generation_config.json +14 -0
- model.safetensors +3 -0
- processor_config.json +60 -0
- runs/Jul06_20-08-23_train-1622597376801900288-cbt5dswuby4g-master-0/events.out.tfevents.1783339703.train-1622597376801900288-cbt5dswuby4g-master-0.8884.0 +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +17 -0
- tokenizer_config.json.bak +32 -0
- train_results.json +8 -0
- trainer_log.jsonl +0 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
- training_loss.png +0 -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
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---
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library_name: transformers
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license: other
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base_model: Qwen/Qwen3-VL-8B-Instruct
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: sft
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# sft
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This model is a fine-tuned version of [Qwen/Qwen3-VL-8B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct) on the firm_video_if, the firm_video_vq and the firm_video_wc datasets.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 16
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- total_train_batch_size: 32
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- total_eval_batch_size: 128
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 0.05
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- num_epochs: 2.0
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### Training results
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### Framework versions
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- Transformers 5.6.0
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- Pytorch 2.7.1+cu126
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- Datasets 3.6.0
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- Tokenizers 0.22.2
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all_results.json
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{
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"epoch": 2.0,
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"total_flos": 2.1250283267503948e+19,
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"train_loss": 0.7199515468159388,
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+
"train_runtime": 22331.278,
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+
"train_samples_per_second": 7.885,
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"train_steps_per_second": 0.246
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}
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{%- if messages[0].content is string %}
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{{- messages[0].content }}
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{%- else %}
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{%- for content in messages[0].content %}
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{%- if 'text' in content %}
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{{- content.text }}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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{{- '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].content is string %}
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{{- messages[0].content }}
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{%- else %}
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{%- for content in messages[0].content %}
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{%- if 'text' in content %}
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{{- content.text }}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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+
{%- endif %}
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+
{%- endif %}
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{%- set image_count = namespace(value=0) %}
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{%- set video_count = namespace(value=0) %}
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{%- for message in messages %}
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{%- if message.role == "user" %}
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{{- '<|im_start|>' + message.role + '\n' }}
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+
{%- if message.content is string %}
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{{- message.content }}
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+
{%- else %}
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+
{%- for content in message.content %}
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+
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
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{%- set image_count.value = image_count.value + 1 %}
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{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
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<|vision_start|><|image_pad|><|vision_end|>
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{%- elif content.type == 'video' or 'video' in content %}
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{%- set video_count.value = video_count.value + 1 %}
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{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
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<|vision_start|><|video_pad|><|vision_end|>
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{%- elif 'text' in content %}
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{{- content.text }}
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+
{%- endif %}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role + '\n' }}
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{%- if message.content is string %}
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{{- message.content }}
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{%- else %}
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+
{%- for content_item in message.content %}
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+
{%- if 'text' in content_item %}
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{{- content_item.text }}
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+
{%- endif %}
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{%- endfor %}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and message.content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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+
{%- endfor %}
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+
{%- endif %}
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{{- '<|im_end|>\n' }}
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+
{%- elif message.role == "tool" %}
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+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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+
{%- if message.content is string %}
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{{- message.content }}
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{%- else %}
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{%- for content in message.content %}
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| 99 |
+
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
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{%- set image_count.value = image_count.value + 1 %}
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| 101 |
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{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
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| 102 |
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<|vision_start|><|image_pad|><|vision_end|>
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{%- elif content.type == 'video' or 'video' in content %}
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| 104 |
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{%- set video_count.value = video_count.value + 1 %}
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| 105 |
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{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
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| 106 |
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<|vision_start|><|video_pad|><|vision_end|>
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| 107 |
+
{%- elif 'text' in content %}
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{{- content.text }}
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| 109 |
+
{%- endif %}
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| 110 |
+
{%- endfor %}
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| 111 |
+
{%- endif %}
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| 112 |
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{{- '\n</tool_response>' }}
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+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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| 114 |
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{{- '<|im_end|>\n' }}
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| 115 |
+
{%- endif %}
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| 116 |
+
{%- endif %}
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| 117 |
+
{%- endfor %}
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| 118 |
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{%- if add_generation_prompt %}
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| 119 |
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{{- '<|im_start|>assistant\n' }}
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| 120 |
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{%- endif %}
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config.json
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| 1 |
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|
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|
| 4 |
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|
| 38 |
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|
| 39 |
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| 40 |
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|
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|
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| 52 |
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|
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|
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|
| 62 |
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|
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| 69 |
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|
| 70 |
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generation_config.json
ADDED
|
@@ -0,0 +1,14 @@
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|
| 1 |
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{
|
| 2 |
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"do_sample": true,
|
| 3 |
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"eos_token_id": [
|
| 4 |
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151645,
|
| 5 |
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|
| 6 |
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151643
|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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"temperature": 0.7,
|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 17534340584
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processor_config.json
ADDED
|
@@ -0,0 +1,60 @@
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| 2 |
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| 3 |
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|
| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 11 |
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| 13 |
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| 27 |
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| 29 |
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|
| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 40 |
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| 41 |
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|
| 42 |
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| 43 |
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| 45 |
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| 46 |
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| 48 |
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| 50 |
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| 59 |
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}
|
| 60 |
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}
|
runs/Jul06_20-08-23_train-1622597376801900288-cbt5dswuby4g-master-0/events.out.tfevents.1783339703.train-1622597376801900288-cbt5dswuby4g-master-0.8884.0
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| 3 |
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size 122497
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tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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tokenizer_config.json
ADDED
|
@@ -0,0 +1,17 @@
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|
| 1 |
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| 2 |
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|
| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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"processor_class": "Qwen3VLProcessor",
|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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tokenizer_config.json.bak
ADDED
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@@ -0,0 +1,32 @@
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|
| 1 |
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{
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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"is_local": true,
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| 24 |
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| 25 |
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| 26 |
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"pad_token": "<|endoftext|>",
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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train_results.json
ADDED
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@@ -0,0 +1,8 @@
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| 1 |
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{
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trainer_log.jsonl
ADDED
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trainer_state.json
ADDED
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The diff for this file is too large to render.
See raw diff
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training_args.bin
ADDED
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@@ -0,0 +1,3 @@
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training_loss.png
ADDED
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