Create README.md

README.md

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+---
+license: other
+license_name: tongyi-qianwen
+base_model: Qwen/Qwen2-72B
+tags:
+- generated_from_trainer
+- axolotl
+datasets:
+- cognitivecomputations/Dolphin-2.9
+- teknium/OpenHermes-2.5
+- m-a-p/CodeFeedback-Filtered-Instruction
+- cognitivecomputations/dolphin-coder
+- cognitivecomputations/samantha-data
+- microsoft/orca-math-word-problems-200k
+- Locutusque/function-calling-chatml
+- internlm/Agent-FLAN
+---
+
+# DolphinVision 7b 🐬
+
+Curated and trained by Quan Nguyen (qnguyen3/stablequan), Eric Hartford, and Cognitive Computations
+
+[![Discord](https://img.shields.io/discord/1156064224225808488?logo=Discord&logoColor=%23ffffff&label=Discord&link=https%3A%2F%2Fdiscord.gg%2FtCMkMDDHwm)](https://discord.gg/h3K4XGj2RH)
+Discord: https://discord.gg/h3K4XGj2RH
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/DBGu4dJ95RHHN3yOEuXuP.png" width="600" />
+
+Our appreciation for the sponsors of DolphinVision:
+- [TensorWave](https://tensorwave.com/) - provided 8x mi300x node used for training, evaluations, and inference
+
+DolphinVision is a multimodal model.  It is uncensored, and capable to reason and comment regarding images that other popular models would object to.
+
+
+```python
+import torch
+import transformers
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from PIL import Image
+import warnings
+
+# disable some warnings
+transformers.logging.set_verbosity_error()
+transformers.logging.disable_progress_bar()
+warnings.filterwarnings('ignore')
+
+# set device
+torch.set_default_device('cuda')  # or 'cpu'
+
+model_name = 'cognitivecomputations/dolphin-vision-7b'
+
+# create model
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype=torch.float16,
+    device_map='auto',
+    trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained(
+    model_name,
+    trust_remote_code=True)
+
+# text prompt
+prompt = 'Describe this image in detail'
+
+messages = [
+    {"role": "user", "content": f'<image>\n{prompt}'}
+]
+text = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True
+)
+
+print(text)
+
+text_chunks = [tokenizer(chunk).input_ids for chunk in text.split('<image>')]
+input_ids = torch.tensor(text_chunks[0] + [-200] + text_chunks[1], dtype=torch.long).unsqueeze(0)
+
+# image, sample images can be found in images folder
+image = Image.open('/path/to/image.png')
+image_tensor = model.process_images([image], model.config).to(dtype=model.dtype)
+
+# generate
+output_ids = model.generate(
+    input_ids,
+    images=image_tensor,
+    max_new_tokens=2048,
+    use_cache=True)[0]
+
+print(tokenizer.decode(output_ids[input_ids.shape[1]:], skip_special_tokens=True).strip())
+```
+
+## Examples
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/630430583926de1f7ec62c6b/TFl5SJ4o3v-hKIqA82_qA.png)
+```
+<|im_start|>user
+: do OCR on all the text
+<|im_start|>assistant
+: The text in the image reads as follows:
+
+- STOP USING DOCKER
+- Applications were not meant to be trapped in virtual jars like digital fireflies
+- Years of software development, yet no one questioned why we were putting programs in imaginary boats
+- Let's containerize our monolith. I'll just quickly spin up 17 microservices. Statements dreamt up by the utterly deranged
+- Observe the whale-sized deception they fooled us with all this time
+- These are real images used to explain Docker
+- "Yay Matey, I'd like to run my website in a virtual sea"
+- They have played us for absolute fools
+
+This text is a satirical commentary on the use of Docker in software development, using humor and exaggeration to question the practice.
+```
+
+## Benchmarks
+
+TBD