---
license: apache-2.0
base_model: unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
tags:
- text-generation
- job-shop-scheduling
- optimization
- llama
- unsloth
- jssp
datasets:
- ACCORD
language:
- en
pipeline_tag: text-generation
library_name: unsloth
---

# JSSP LLaMA 8B Fine-tuned Model

## Model Description

Job Shop Scheduling Problem (JSSP) 최적화를 위해 파인튜닝된 LLaMA 8B 모델입니다.

## Training Details

- Base Model: unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
- LoRA Rank: 64
- Epochs: 4
- Max Sequence Length: 40,000
- Dataset: ACCORD

## Usage

```python
from unsloth import FastLanguageModel
model, tokenizer = FastLanguageModel.from_pretrained(
    model_name="HYUNJINI/pfsp_test_1",
    max_seq_length=40000,
    load_in_4bit=True,
    dtype=torch.bfloat16,
)
FastLanguageModel.for_inference(model)
```