oof

README.md

@@ -1,3 +1,82 @@
----
-license: mit
----
+---
+license: mit
+language:
+- en
+base_model:
+- distilbert/distilgpt2
+---
+
+# Model Card for LockinGPT
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+LockinGPT is a fine-tuned language model based on `distilgpt2`, optimized for generating conversational questions and creative prompts related to blockchain topics, especially focusing on Solana-based ecosystems.
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+LockinGPT is specifically fine-tuned for generating yes/no questions and other conversational content related to the Solana blockchain and $LOCKIN token ecosystem. It is designed to aid developers, investors, and enthusiasts in generating useful blockchain-related queries. The model was fine-tuned using a curated dataset of Solana-related content to ensure relevance and accuracy.
+
+- **Developed by:** Jonathan Gan
+- **Funded by [optional]:** Self-funded
+- **Shared by [optional]:** Jonathan Gan
+- **Model type:** Causal Language Model
+- **Language(s) (NLP):** English
+- **License:** MIT
+- **Finetuned from model [optional]:** distilbert/distilgpt2
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** Private repository (contact Jonathan Gan for details)
+- **Paper [optional]:** N/A
+- **Demo [optional]:** N/A
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+- Generating blockchain-related questions for interactive use.
+- Conversational tasks related to the Solana ecosystem.
+
+### Downstream Use [optional]
+
+- Fine-tuned for specific blockchain or crypto-related chatbot applications.
+
+### Out-of-Scope Use
+
+- Non-English conversational tasks.
+- Topics unrelated to blockchain or cryptocurrency may produce incoherent outputs.
+- Sensitive or adversarial applications.
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+- The model is fine-tuned on Solana-related content and may not generalize well outside this domain.
+- It may reflect biases present in the training data (e.g., promotion of specific blockchain technologies over others).
+
+### Recommendations
+
+Users should verify generated content for factual accuracy, especially in contexts requiring precision (e.g., financial advice or technical implementation).
+
+## How to Get Started with the Model
+
+Use the code below to get started with LockinGPT:
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("./lockin_model")
+model = AutoModelForCausalLM.from_pretrained("./lockin_model")
+
+prompt = "Generate a yes/no question about the $LOCKIN token"
+inputs = tokenizer(prompt, return_tensors="pt")
+output = model.generate(inputs["input_ids"], max_new_tokens=50, do_sample=True, top_p=0.9, temperature=1.3)
+print(tokenizer.decode(output[0], skip_special_tokens=True))