Model Card for neo-blockchain-assistant
This model is a LoRA-adapter fine-tuned from the base model Mistral-7B-Instruct-v0.2. It is specifically designed to assist in blockchain-related tasks and answer questions about blockchain technology.
Model Details
Model Description
The neo-blockchain-assistant model is a lightweight fine-tuned version of the Mistral-7B-Instruct-v0.2 model using LoRA (Low-Rank Adaptation) and PEFT (Parameter-Efficient Fine-Tuning) techniques. It is optimized for text generation tasks related to blockchain technology, providing educational content and explanations.
- Developed by: TooKeen
- Funded by [optional]: N/A
- Shared by [optional]: N/A
- Model type: LoRA fine-tuned text-generation model
- Language(s) (NLP): English
- License: Apache-2.0
- Finetuned from model [optional]: Mistral-7B-Instruct-v0.2
Model Sources [optional]
- Repository: https://huggingface.co/TooKeen/neo-blockchain-assistant
- Paper [optional]: N/A
- Demo [optional]: N/A
Uses
Direct Use
This model can be used directly for generating blockchain-related text content, answering questions, and providing explanations about blockchain technology. It can be used for educational purposes, content creation, or blockchain research assistance.
Downstream Use [optional]
The model can be further fine-tuned for specific blockchain-related use cases or integrated into larger systems where blockchain education or customer service is required.
Out-of-Scope Use
This model should not be used for non-blockchain-related tasks or sensitive domains where accuracy in unrelated fields is crucial.
Bias, Risks, and Limitations
As this model is fine-tuned specifically for blockchain-related content, it may not generalize well to other domains. The model could provide biased or incomplete information on blockchain-related topics, depending on the training data. Use it with caution for legal, financial, or high-stakes decisions.
Recommendations
Users should be aware that the model's outputs are based on blockchain-related training data and may not reflect up-to-date or completely accurate information on complex or evolving topics. It is recommended to cross-check any critical information generated by the model.
How to Get Started with the Model
Use the code below to get started with the model:
1from huggingface_hub import InferenceClient
2
3client = InferenceClient(
4 model="TooKeen/neo-blockchain-assistant", # Your model name
5 token="your_token_here" # Your Hugging Face API token
6)
7
8result = client.text_generation("What is blockchain?")
9print(result)
