---
language:
- ru
library_name: peft
tags:
- llama
- llama-2
- news
datasets:
- its5Q/panorama
pipeline_tag: text-generation
base_model: meta-llama/Llama-2-7b-hf
---

# Llama 2 7B, fine-tuned on Panorama media

This repo contains the QLoRA adapter.

Prompt:
```
Write a hypothetical news story based on the given headline

### Title:
{prompt}

Text:
```

## Training procedure


The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float16
### Framework versions


- PEFT 0.5.0.dev0


### Additional information

Thanks [its5Q](https://huggingface.co/its5Q) for dataset and help