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neo-blockchain-assistant

Text Generation
PEFT
Safetensors
English
blockchain
lora
Mistral-7B
conversational
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neo-blockchain-assistant / README.md
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metadata
base_model: togethercomputer/Mistral-7B-Instruct-v0.2
library_name: peft
pipeline_tag: text-generation
tags:
  - blockchain
  - text-generation
  - lora
  - peft
  - Mistral-7B
license: apache-2.0
language: en

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]

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:

from huggingface_hub import InferenceClient

client = InferenceClient(
    model="TooKeen/neo-blockchain-assistant",  # Your model name
    token="your_token_here"  # Your Hugging Face API token
)

result = client.text_generation("What is blockchain?")
print(result)