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Model: justinthelaw/SmolLM2-360M-Instruct_Resume-SFT-DPO
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---
license: apache-2.0
language:
- en
library_name: transformers
tags:
- smollm2
- onnx
- transformers.js
- text-generation
- fine-tuned
- sft
- dpo
- lora
- resume
- chatbot
base_model: "HuggingFaceTB/SmolLM2-360M-Instruct"
datasets:
- "justinthelaw/Resume-DPO-SFT-Dataset"
pipeline_tag: text-generation
---
# justinthelaw/SmolLM2-360M-Instruct_Resume-SFT-DPO
A fine-tuned version of [HuggingFaceTB/SmolLM2-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct) trained with a two-stage pipeline (SFT + DPO) to answer questions about **Justin**'s professional background, skills, and experience.
## Model Description
This model is designed for browser-based inference using [transformers.js](https://huggingface.co/docs/transformers.js). It powers a personal website chatbot that can answer questions about Justin's resume, work experience, education, and skills.
### Training Pipeline
The model is trained using a two-stage approach optimized for factual memorization:
1. **SFT (Supervised Fine-Tuning)**: Primary training for factual memorization using conversation-formatted QA pairs
2. **DPO (Direct Preference Optimization)**: Refinement training to prefer accurate answers over hallucinations
### Training Details
- **Base Model**: [HuggingFaceTB/SmolLM2-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct)
- **Training Dataset**: [justinthelaw/Resume-DPO-SFT-Dataset](https://huggingface.co/datasets/justinthelaw/Resume-DPO-SFT-Dataset)
- **LoRA Configuration**:
- Rank (r): 32
- Alpha: 64
- Dropout: 0.05
- Target Modules: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj
#### SFT Training Configuration
- Epochs: 5
- Batch Size: 8
- Learning Rate: 0.0001
#### DPO Training Configuration
- Epochs: 1
- Batch Size: 4
- Learning Rate: 5e-06
- Beta: 0.05
- Loss Type: sigmoid
## Model Formats
This repository contains multiple model formats:
| Format | Location | Use Case |
| -------------- | ---------------------------- | ----------------------------------- |
| SafeTensors | `/` (root) | Python/PyTorch inference |
| ONNX | `/onnx/model.onnx` | Full precision ONNX Runtime |
| ONNX Quantized | `/onnx/model_quantized.onnx` | Browser inference (transformers.js) |
> **Note**: If quantization fails during export due to weight distribution issues, `model_quantized.onnx` will be a copy of the fp16 model for compatibility.
## Usage
### Browser (transformers.js)
```javascript
import { pipeline } from "@huggingface/transformers";
const generator = await pipeline(
"text-generation",
"justinthelaw/SmolLM2-360M-Instruct_Resume-SFT-DPO",
{ dtype: "q8" } // Uses model_quantized.onnx
);
const output = await generator("What is Justin's background?", {
max_new_tokens: 256,
temperature: 0.7,
});
```
### Python (Transformers)
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("justinthelaw/SmolLM2-360M-Instruct_Resume-SFT-DPO")
tokenizer = AutoTokenizer.from_pretrained("justinthelaw/SmolLM2-360M-Instruct_Resume-SFT-DPO")
prompt = "What is Justin's background?"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```
## Intended Use
This model is intended for:
- Personal website chatbots
- Resume Q&A applications
- Demonstrating fine-tuning techniques for personalized AI assistants
## Limitations
- The model is specifically trained on Justin's resume and may not generalize to other topics
- Responses are based on training data and may not reflect real-time information
- Not suitable for general-purpose question answering
## Author
### Justin
- GitHub: [justinthelaw](https://github.com/justinthelaw)
- HuggingFace: [justinthelaw](https://huggingface.co/justinthelaw)
## License
This model is released under the Apache 2.0 license.

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