It might work better if I include the model too DUHHH

README.md

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+---
+license: cc-by-sa-4.0
+language:
+- en
+tags:
+- Multimodal
+- StableLM
+datasets:
+- LDJnr/Capybara
+- LDJnr/LessWrong-Amplify-Instruct
+- LDJnr/Pure-Dove
+- LDJnr/Verified-Camel
+---
+
+# Obsidian: Worlds smallest multi-modal LLM. First multi-modal model in size 3B
+
+## Model Name: Obsidian-3B-V0.5
+
+Obsidian is a brand new series of Multimodal Language Models. This first project is led by Quan N. and Luigi D.(LDJ).
+
+Obsidian-3B-V0.5 is a multi-modal AI model that has vision! it's smarts are built on [Capybara-3B-V1.9](https://huggingface.co/NousResearch/Capybara-3B-V1.9) based on [StableLM-3B-4e1t](https://huggingface.co/stabilityai/stablelm-3b-4e1t). Capybara-3B-V1.9 achieves state-of-the-art performance when compared to model with similar size, even beats some 7B models.
+
+Current finetuning and inference code is available on our GitHub repo: [Here](https://github.com/NousResearch/Obsidian)
+
+## Acknowledgement
+
+Obsidian-3B-V0.5 was developed and finetuned by [Nous Research](https://huggingface.co/NousResearch), in collaboration with [Virtual Interactive](https://huggingface.co/vilm).
+Special thank you to **LDJ** for the wonderful Capybara dataset, and **qnguyen3** for the model training procedure.
+## Model Training
+
+Obsidian-3B-V0.5 followed the same training procedure as LLaVA 1.5
+
+## Prompt Format
+
+The model followed ChatML format. However, with `###` as the seperator
+
+```
+<|im_start|>user
+What is this sign about?\n<image>
+###
+<|im_start|>assistant
+The sign is about bullying, and it is placed on a black background with a red background.
+###
+```
+
+## Benchmarks
+
+Coming Soon!
+
+
+Citation:
+
+```
+@article{nguyen2023Obsidian-3B,
+  title={Obsidian-3B: First Multi-modal below 7B Parameters.},
+  author={Nguyen, Quan and Daniele},
+  journal={HuggingFace:https://huggingface.co/NousResearch/Obsidian-3B-V0.5},
+  year={2023}
+}
+```
+
+Acknowledgements:
+
+```
+@article{daniele2023amplify-instruct,
+  title={Amplify-Instruct: Synthetically Generated Diverse Multi-turn Conversations for Effecient LLM Training.},
+  author={Daniele, Luigi and Suphavadeeprasit},
+  journal={arXiv preprint arXiv:(comming soon)},
+  year={2023}
+}
+```

config.json

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+{
+  "_name_or_path": "NousResearch/Obsidian-3B-V0.5",
+  "architectures": [
+    "LlavaStableLMEpochForCausalLM"
+  ],
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "freeze_mm_mlp_adapter": false,
+  "hidden_act": "silu",
+  "hidden_size": 2560,
+  "image_aspect_ratio": "pad",
+  "image_grid_pinpoints": null,
+  "initializer_range": 0.02,
+  "intermediate_size": 6912,
+  "max_position_embeddings": 4096,
+  "mm_hidden_size": 1024,
+  "mm_projector_type": "mlp2x_gelu",
+  "mm_use_im_patch_token": false,
+  "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": "llava_stablelm_epoch",
+  "norm_eps": 1e-05,
+  "rms_norm_eps": 1e-05,
+  "num_attention_heads": 32,
+  "num_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "rope_pct": 0.25,
+  "rope_theta": 10000,
+  "rotary_scaling_factor": 1.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.34.1",
+  "tune_mm_mlp_adapter": false,
+  "use_cache": true,
+  "use_mm_proj": true,
+  "vocab_size": 50304
+}

generation_config.json

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+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.34.1"
+}

mm_projector.bin

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special_tokens_map.json

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tokenizer_config.json

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