Image-Text-to-Text
Transformers
Safetensors
qwen2_5_vl
llama-factory
full
qwen2.5-vl
stepcount
sft
conversational
text-generation-inference
Instructions to use SI-Lab/StepCount-7B-SFT-1M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SI-Lab/StepCount-7B-SFT-1M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="SI-Lab/StepCount-7B-SFT-1M") 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("SI-Lab/StepCount-7B-SFT-1M") model = AutoModelForMultimodalLM.from_pretrained("SI-Lab/StepCount-7B-SFT-1M") 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 SI-Lab/StepCount-7B-SFT-1M with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SI-Lab/StepCount-7B-SFT-1M" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SI-Lab/StepCount-7B-SFT-1M", "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/SI-Lab/StepCount-7B-SFT-1M
- SGLang
How to use SI-Lab/StepCount-7B-SFT-1M 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 "SI-Lab/StepCount-7B-SFT-1M" \ --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": "SI-Lab/StepCount-7B-SFT-1M", "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 "SI-Lab/StepCount-7B-SFT-1M" \ --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": "SI-Lab/StepCount-7B-SFT-1M", "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 SI-Lab/StepCount-7B-SFT-1M with Docker Model Runner:
docker model run hf.co/SI-Lab/StepCount-7B-SFT-1M
zhangchenhao commited on
Commit ·
6088da0
1
Parent(s): 33dc248
Upload StepCount-7B-SFT-1M checkpoint-476 remaining files
Browse files- .gitattributes +1 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model.safetensors.index.json +736 -0
- preprocessor_config.json +29 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +257 -0
- trainer_state.json +1242 -0
- training_args.bin +3 -0
- video_preprocessor_config.json +86 -0
- vocab.json +0 -0
.gitattributes
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|
| 735 |
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|
| 736 |
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preprocessor_config.json
ADDED
|
@@ -0,0 +1,29 @@
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|
|
|
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|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_convert_rgb": true,
|
| 3 |
+
"do_normalize": true,
|
| 4 |
+
"do_rescale": true,
|
| 5 |
+
"do_resize": true,
|
| 6 |
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"image_mean": [
|
| 7 |
+
0.48145466,
|
| 8 |
+
0.4578275,
|
| 9 |
+
0.40821073
|
| 10 |
+
],
|
| 11 |
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"image_processor_type": "Qwen2VLImageProcessor",
|
| 12 |
+
"image_std": [
|
| 13 |
+
0.26862954,
|
| 14 |
+
0.26130258,
|
| 15 |
+
0.27577711
|
| 16 |
+
],
|
| 17 |
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"max_pixels": 12845056,
|
| 18 |
+
"merge_size": 2,
|
| 19 |
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"min_pixels": 3136,
|
| 20 |
+
"patch_size": 14,
|
| 21 |
+
"processor_class": "Qwen2_5_VLProcessor",
|
| 22 |
+
"resample": 3,
|
| 23 |
+
"rescale_factor": 0.00392156862745098,
|
| 24 |
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"size": {
|
| 25 |
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"longest_edge": 12845056,
|
| 26 |
+
"shortest_edge": 3136
|
| 27 |
+
},
|
| 28 |
+
"temporal_patch_size": 2
|
| 29 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
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"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
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"normalized": false,
|
| 21 |
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"rstrip": false,
|
| 22 |
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"single_word": false
|
| 23 |
+
},
|
| 24 |
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"pad_token": {
|
| 25 |
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"content": "<|endoftext|>",
|
| 26 |
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"lstrip": false,
|
| 27 |
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|
| 28 |
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"rstrip": false,
|
| 29 |
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"single_word": false
|
| 30 |
+
}
|
| 31 |
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|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
|
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|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:e56e691e81e99425c4397af8539c4b79a814c331fe697d38e5fe469644d6ee71
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| 3 |
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size 11423005
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tokenizer_config.json
ADDED
|
@@ -0,0 +1,257 @@
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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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|
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|
| 11 |
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|
| 12 |
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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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"special": true
|
| 20 |
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},
|
| 21 |
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"151645": {
|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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| 29 |
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"151646": {
|
| 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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|
| 39 |
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|
| 40 |
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| 41 |
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| 42 |
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| 43 |
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|
| 44 |
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|
| 52 |
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|
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|
| 60 |
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"151650": {
|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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"special": true
|
| 68 |
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},
|
| 69 |
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"151651": {
|
| 70 |
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"content": "<|quad_end|>",
|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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"151652": {
|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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"151653": {
|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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"151654": {
|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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"151655": {
|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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"151657": {
|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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"151658": {
|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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"151661": {
|
| 150 |
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"content": "<|fim_suffix|>",
|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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"151662": {
|
| 158 |
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"content": "<|fim_pad|>",
|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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"151663": {
|
| 166 |
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"content": "<|repo_name|>",
|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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|
| 171 |
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|
| 172 |
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|
| 173 |
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"151664": {
|
| 174 |
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"content": "<|file_sep|>",
|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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|
| 179 |
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|
| 180 |
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|
| 181 |
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"151665": {
|
| 182 |
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|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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"151666": {
|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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},
|
| 197 |
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"151667": {
|
| 198 |
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"content": "<answer>",
|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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},
|
| 205 |
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"151668": {
|
| 206 |
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"content": "</answer>",
|
| 207 |
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"lstrip": false,
|
| 208 |
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"normalized": true,
|
| 209 |
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"rstrip": false,
|
| 210 |
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"single_word": false,
|
| 211 |
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"special": false
|
| 212 |
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},
|
| 213 |
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"151669": {
|
| 214 |
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"content": "<point>",
|
| 215 |
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|
| 216 |
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"normalized": true,
|
| 217 |
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|
| 218 |
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|
| 219 |
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"special": false
|
| 220 |
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},
|
| 221 |
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"151670": {
|
| 222 |
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"content": "</point>",
|
| 223 |
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|
| 224 |
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|
| 225 |
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|
| 226 |
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|
| 227 |
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"special": false
|
| 228 |
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|
| 229 |
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},
|
| 230 |
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"additional_special_tokens": [
|
| 231 |
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|
| 232 |
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|
| 233 |
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"<|object_ref_start|>",
|
| 234 |
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"<|object_ref_end|>",
|
| 235 |
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"<|box_start|>",
|
| 236 |
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"<|box_end|>",
|
| 237 |
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"<|quad_start|>",
|
| 238 |
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"<|quad_end|>",
|
| 239 |
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"<|vision_start|>",
|
| 240 |
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"<|vision_end|>",
|
| 241 |
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"<|vision_pad|>",
|
| 242 |
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"<|image_pad|>",
|
| 243 |
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"<|video_pad|>"
|
| 244 |
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],
|
| 245 |
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"bos_token": null,
|
| 246 |
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"clean_up_tokenization_spaces": false,
|
| 247 |
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"eos_token": "<|im_end|>",
|
| 248 |
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"errors": "replace",
|
| 249 |
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"extra_special_tokens": {},
|
| 250 |
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"model_max_length": 131072,
|
| 251 |
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"pad_token": "<|endoftext|>",
|
| 252 |
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"padding_side": "right",
|
| 253 |
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"processor_class": "Qwen2_5_VLProcessor",
|
| 254 |
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"split_special_tokens": false,
|
| 255 |
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"tokenizer_class": "Qwen2Tokenizer",
|
| 256 |
+
"unk_token": null
|
| 257 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1242 @@
|
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vocab.json
ADDED
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