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README.md

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 ---
-license: unknown
+license: apache-2.0
+tags:
+- MobileVLM
 ---
+## Model Summery
+MobileVLM is a competent multimodal vision language model (MMVLM) targeted to run on mobile devices. It is an amalgamation of a myriad of architectural designs and techniques that are mobile-oriented, which comprises a set of language models at the scale of 1.4B and 2.7B parameters, trained from scratch, a multimodal vision model that is pre-trained in the CLIP fashion, cross-modality interaction via an efficient projector. We evaluate MobileVLM on several typical VLM benchmarks. Our models demonstrate on par performance compared with a few much larger models. More importantly, we measure the inference speed on both a Qualcomm Snapdragon 888 CPU and an NVIDIA Jeston Orin GPU, and we obtain state-of-the-art performance of 21.5 tokens and 65.3 tokens per second, respectively.
+
+The MobileVLM-1.7B was built on our [MobileLLaMA-1.4B-Chat](](https://huggingface.co/mtgv/MobileLLaMA-1.4B-Chat)) to facilitate the off-the-shelf deployment. 
+
+## Model Sources
+- Repository: https://github.com/Meituan-AutoML/MobileVLM
+- Paper: https://arxiv.org/abs/2312.16886
+
+## How to Get Started with the Model
+Inference examples can be found at [Github](https://github.com/Meituan-AutoML/MobileVLM).
+
+## Training Details
+Please refer to our paper: [MobileVLM: A Fast, Strong and Open Vision Language Assistant for Mobile Devices](https://arxiv.org/pdf/2312.16886.pdf)

config.json

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+  "_name_or_path": "mtgv/MobileVLM-1.7B",
+  "architectures": [
+    "MobileLlamaForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "freeze_mm_mlp_adapter": false,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "image_aspect_ratio": "pad",
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+  "initializer_range": 0.02,
+  "intermediate_size": 5632,
+  "max_position_embeddings": 2048,
+  "max_sequence_length": 2048,
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+  "mm_projector_type": "ldpnet",
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+  "mm_use_im_start_end": false,
+  "mm_vision_select_feature": "patch",
+  "mm_vision_select_layer": -2,
+  "mm_vision_tower": "openai/clip-vit-large-patch14-336",
+  "model_type": "mobilevlm",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 16,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
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+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.33.1",
+  "tune_mm_mlp_adapter": false,
+  "use_cache": true,
+  "use_mm_proj": true,
+  "vision_tower_type": "clip",
+  "vocab_size": 32000
+}

generation_config.json

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+}

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tokenizer_config.json

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