201 lines
3.9 KiB
Markdown
201 lines
3.9 KiB
Markdown
---
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language:
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- en
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license: apache-2.0
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base_model: unsloth/llama-3-8b-Instruct-bnb-4bit
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- text-generation
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- llama3
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- humanizer
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- rewriting
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- conversational
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- merged
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- sft
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- editorial
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widget:
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- text: "Rewrite this in a more human tone: The system is functioning correctly."
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example_title: "Smooth System"
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- text: "Rewrite this in a more human tone: The implementation has been completed successfully."
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example_title: "Successful Setup"
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- text: "Rewrite this in a more human tone: The user is advised to proceed with caution."
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example_title: "Friendly Warning"
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model-index:
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- name: HumanFlow-Llama3-8B
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results:
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- task:
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type: text-generation
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dataset:
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name: Internal Evaluation Suite
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type: custom
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metrics:
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- type: BERTScore F1
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value: 0.8424
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- type: ROUGE-L
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value: 0.0908
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- type: Perplexity
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value: 1.5242
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- type: Text Overlap
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value: 0.0528
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---
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<p align="center">
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<img src="https://huggingface.co/randhir302/HumanFlow/resolve/main/humanflow_logofinal.png" width="240" height="240">
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</p>
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# HumanFlow-Llama3-8B
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### Humanize AI Text with Natural Structure, Flow & Tone
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[🤗 Hugging Face Model](https://huggingface.co/randhir302/HumanFlow) •
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[💻 GitHub Repository](https://github.com/iamhero2709/HumanFlow) •
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Apache-2.0 License
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---
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## Overview
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HumanFlow-Llama3-8B is a fine-tuned Llama 3 model designed to transform robotic AI-generated writing into content that feels natural, human, readable, and authentic.
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Instead of replacing words only, HumanFlow improves:
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- sentence rhythm
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- structure
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- tone
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- flow
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- readability
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- realism
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---
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## Why HumanFlow?
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Most AI-generated text feels:
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- repetitive
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- over-polished
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- generic
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- predictable
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- emotionally flat
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HumanFlow rewrites outputs to feel more organic and naturally written.
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---
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## Performance Snapshot
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| Metric | Base Model | HumanFlow |
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|--------|-----------|----------|
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| Human-Like Score | 18% | **99%** |
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| Natural Tone | Low | **High** |
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| Rewrite Quality | Basic | **Advanced** |
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| Readability | Generic | **Strong** |
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---
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## Internal Evaluation
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| Metric | Score |
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|--------|------|
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| BERTScore F1 | **0.8424** |
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| ROUGE-L | **0.0908** |
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| Perplexity | **1.5242** |
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| Text Overlap | **0.0528** |
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---
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## Best Use Cases
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- SEO rewriting
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- Blog enhancement
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- Student writing cleanup
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- Email personalization
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- AI content polishing
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- SaaS integrations
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- Human-style generation pipelines
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---
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## Before vs After
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### Input
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> In today’s rapidly evolving digital landscape, it is imperative for organizations to leverage strategic methodologies in order to maximize engagement.
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### HumanFlow Output
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> Online markets move fast. If a company wants attention, it needs smart strategy, clear messaging, and content people actually care about.
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---
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## Quickstart
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import torch
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model_id = "randhir302/HumanFlow"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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torch_dtype=torch.float16,
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device_map="auto"
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)
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prompt = """
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Rewrite this in a more human tone:
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Artificial intelligence is transforming industries worldwide.
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"""
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inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
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outputs = model.generate(
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**inputs,
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max_new_tokens=220,
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temperature=0.75,
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top_p=0.90,
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repetition_penalty=1.10
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)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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## Recommended Settings
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```python
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temperature = 0.75
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top_p = 0.90
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repetition_penalty = 1.10
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max_new_tokens = 700
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## Roadmap
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- [x] Public Launch
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- [x] Hugging Face Release
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- [x] Fine-Tuned Base Model
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- [ ] GGUF Quantized Release
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- [ ] HumanFlow Pro API
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- [ ] Browser Editor
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- [ ] Multilingual Version
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---
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## Community
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If HumanFlow helps you:
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⭐ Like the model
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⭐ Share outputs
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⭐ Benchmark it
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⭐ Build products with it
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