Image-Text-to-Text
Transformers
Safetensors
Japanese
English
llama
text-generation
vision-language-model
vlm
llava
llava-onevision
japanese
siglip
llm-jp
finance
multimodal
conversational
text-generation-inference
Instructions to use Yana/compass-vlm-phase1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yana/compass-vlm-phase1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="Yana/compass-vlm-phase1") 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 AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Yana/compass-vlm-phase1") model = AutoModelForCausalLM.from_pretrained("Yana/compass-vlm-phase1", 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 = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Yana/compass-vlm-phase1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Yana/compass-vlm-phase1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Yana/compass-vlm-phase1", "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/Yana/compass-vlm-phase1
- SGLang
How to use Yana/compass-vlm-phase1 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 "Yana/compass-vlm-phase1" \ --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": "Yana/compass-vlm-phase1", "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 "Yana/compass-vlm-phase1" \ --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": "Yana/compass-vlm-phase1", "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 Yana/compass-vlm-phase1 with Docker Model Runner:
docker model run hf.co/Yana/compass-vlm-phase1
Upload merged VLM (LLM + Vision Tower + Projector)
Browse files- .gitattributes +1 -0
- chat_template.jinja +1 -0
- config.json +32 -0
- generation_config.json +6 -0
- image_newline.bin +3 -0
- mm_projector.bin +3 -0
- model.safetensors +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +31 -0
- vision_tower/config.json +40 -0
- vision_tower/model.safetensors +3 -0
- vlm_config.json +11 -0
.gitattributes
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*.zip 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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chat_template.jinja
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{% for message in messages %}{% if message['role'] == 'user' %}{{ '\n\n### 指示:\n' + message['content'] }}{% elif message['role'] == 'system' %}{{ '以下は、タスクを説明する指示です。要求を適切に満たす応答を書きなさい。' }}{% elif message['role'] == 'assistant' %}{{ '\n\n### 応答:\n' + message['content'] + eos_token }}{% endif %}{% if loop.last and add_generation_prompt %}{{ '\n\n### 応答:\n' }}{% endif %}{% endfor %}
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"dtype": "bfloat16",
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 4096,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pad_token_id": null,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 500000,
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"rope_type": "default"
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},
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"tie_word_embeddings": false,
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"transformers_version": "5.2.0",
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"use_cache": true,
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"vocab_size": 196610
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "5.2.0"
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}
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image_newline.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:85e690f2df4fb3d088126461be5ea4878158a2c5831c6c8cf2fb9aeb04b5c772
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size 17594
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mm_projector.bin
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version https://git-lfs.github.com/spec/v1
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size 43010232
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 17180468600
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:842b33fbab6e4610e177c7e9afcad2592c7932fcc488a2afaf81b1b94fd2bd1b
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size 12869165
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tokenizer_config.json
ADDED
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{
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"backend": "tokenizers",
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"bos_token": "<|bos|>",
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"clean_up_tokenization_spaces": false,
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"cls_token": "<|cls|>",
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"eod_token": "<|eod|>",
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"eos_token": "<|eos|>",
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"extra_ids": 0,
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"extra_special_tokens": [
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"<image>",
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"</image>"
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],
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"is_local": true,
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"mask_token": "<|mask|>",
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"max_length": null,
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"model_max_length": 1000000000000000019884624838656,
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"model_specific_special_tokens": {
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"eod_token": "<|eod|>"
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},
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"pad_to_multiple_of": null,
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"pad_token": "<|pad|>",
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"pad_token_type_id": 0,
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"padding_side": "right",
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"sep_token": "<|sep|>",
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"sp_model_kwargs": {},
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"stride": 0,
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"tokenizer_class": "TokenizersBackend",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "<|unk|>"
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}
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vision_tower/config.json
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{
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"architectures": [
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"SiglipModel"
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],
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"dtype": "bfloat16",
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"initializer_factor": 1.0,
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"model_type": "siglip",
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"text_config": {
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| 9 |
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"attention_dropout": 0.0,
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| 10 |
+
"bos_token_id": 49406,
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| 11 |
+
"dtype": "bfloat16",
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| 12 |
+
"eos_token_id": 49407,
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| 13 |
+
"hidden_act": "gelu_pytorch_tanh",
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| 14 |
+
"hidden_size": 1152,
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| 15 |
+
"intermediate_size": 4304,
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| 16 |
+
"layer_norm_eps": 1e-06,
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| 17 |
+
"max_position_embeddings": 64,
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| 18 |
+
"model_type": "siglip_text_model",
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| 19 |
+
"num_attention_heads": 16,
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| 20 |
+
"num_hidden_layers": 27,
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| 21 |
+
"pad_token_id": 1,
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| 22 |
+
"projection_size": 1152,
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| 23 |
+
"vocab_size": 256000
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},
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| 25 |
+
"transformers_version": "5.2.0",
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"vision_config": {
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| 27 |
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"attention_dropout": 0.0,
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"dtype": "bfloat16",
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"hidden_act": "gelu_pytorch_tanh",
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| 30 |
+
"hidden_size": 1152,
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| 31 |
+
"image_size": 384,
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| 32 |
+
"intermediate_size": 4304,
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| 33 |
+
"layer_norm_eps": 1e-06,
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"model_type": "siglip_vision_model",
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| 35 |
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"num_attention_heads": 16,
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| 36 |
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"num_channels": 3,
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| 37 |
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"num_hidden_layers": 27,
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"patch_size": 14
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}
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}
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vision_tower/model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c61702b1e68ee065dabecd86ac50e8ad2f608f2a62a6878159b121a6a72e2bb6
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| 3 |
+
size 2272126532
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vlm_config.json
ADDED
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@@ -0,0 +1,11 @@
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{
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| 2 |
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"vision_hidden_size": 1152,
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| 3 |
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"llm_hidden_size": 4096,
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| 4 |
+
"use_s2_wrapper": false,
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| 5 |
+
"use_anyres": false,
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| 6 |
+
"num_anyres_crops": 9,
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| 7 |
+
"anyres_max_grid_tiles": 9,
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| 8 |
+
"freeze_vision_tower": false,
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| 9 |
+
"freeze_llm": false,
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| 10 |
+
"use_lora": true
|
| 11 |
+
}
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