README.md

---
language:
- en
license: apache-2.0
base_model: unsloth/llama-3-8b-Instruct-bnb-4bit
library_name: transformers
pipeline_tag: text-generation

tags:
- text-generation
- llama3
- humanizer
- rewriting
- conversational
- merged
- sft
- editorial

widget:
- text: "Rewrite this in a more human tone: The system is functioning correctly."
  example_title: "Smooth System"

- text: "Rewrite this in a more human tone: The implementation has been completed successfully."
  example_title: "Successful Setup"

- text: "Rewrite this in a more human tone: The user is advised to proceed with caution."
  example_title: "Friendly Warning"

model-index:
- name: HumanFlow-Llama3-8B
  results:
  - task:
      type: text-generation
    dataset:
      name: Internal Evaluation Suite
      type: custom
    metrics:
    - type: BERTScore F1
      value: 0.8424
    - type: ROUGE-L
      value: 0.0908
    - type: Perplexity
      value: 1.5242
    - type: Text Overlap
      value: 0.0528
---

<p align="center">
  <img src="https://huggingface.co/randhir302/HumanFlow/resolve/main/humanflow_logofinal.png" width="240" height="240">
</p>

# HumanFlow-Llama3-8B

### Humanize AI Text with Natural Structure, Flow & Tone

[🤗 Hugging Face Model](https://huggingface.co/randhir302/HumanFlow) •
[💻 GitHub Repository](https://github.com/iamhero2709/HumanFlow) •
Apache-2.0 License

---

## Overview

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.

Instead of replacing words only, HumanFlow improves:

- sentence rhythm  
- structure  
- tone  
- flow  
- readability  
- realism  

---

## Why HumanFlow?

Most AI-generated text feels:

- repetitive  
- over-polished  
- generic  
- predictable  
- emotionally flat  

HumanFlow rewrites outputs to feel more organic and naturally written.

---

## Performance Snapshot

| Metric | Base Model | HumanFlow |
|--------|-----------|----------|
| Human-Like Score | 18% | **99%** |
| Natural Tone | Low | **High** |
| Rewrite Quality | Basic | **Advanced** |
| Readability | Generic | **Strong** |

---

## Internal Evaluation

| Metric | Score |
|--------|------|
| BERTScore F1 | **0.8424** |
| ROUGE-L | **0.0908** |
| Perplexity | **1.5242** |
| Text Overlap | **0.0528** |

---

## Best Use Cases

- SEO rewriting  
- Blog enhancement  
- Student writing cleanup  
- Email personalization  
- AI content polishing  
- SaaS integrations  
- Human-style generation pipelines  

---

## Before vs After

### Input

> In today’s rapidly evolving digital landscape, it is imperative for organizations to leverage strategic methodologies in order to maximize engagement.

### HumanFlow Output

> Online markets move fast. If a company wants attention, it needs smart strategy, clear messaging, and content people actually care about.

---

## Quickstart

```python
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch

model_id = "randhir302/HumanFlow"

tokenizer = AutoTokenizer.from_pretrained(model_id)

model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype=torch.float16,
    device_map="auto"
)

prompt = """
Rewrite this in a more human tone:

Artificial intelligence is transforming industries worldwide.
"""

inputs = tokenizer(prompt, return_tensors="pt").to("cuda")

outputs = model.generate(
    **inputs,
    max_new_tokens=220,
    temperature=0.75,
    top_p=0.90,
    repetition_penalty=1.10
)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))

```
## Recommended Settings

```python
temperature = 0.75
top_p = 0.90
repetition_penalty = 1.10
max_new_tokens = 700

## Roadmap

- [x] Public Launch  
- [x] Hugging Face Release  
- [x] Fine-Tuned Base Model  
- [ ] GGUF Quantized Release  
- [ ] HumanFlow Pro API  
- [ ] Browser Editor  
- [ ] Multilingual Version  

---

## Community

If HumanFlow helps you:

⭐ Like the model  
⭐ Share outputs  
⭐ Benchmark it  
⭐ Build products with it