Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

[Discord](https://discord.gg/pvy7H8DZMG)

[Request more models](https://github.com/RichardErkhov/quant_request)


TinyAlpaca-1.1B - GGUF
- Model creator: https://huggingface.co/luckychao/
- Original model: https://huggingface.co/luckychao/TinyAlpaca-1.1B/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [TinyAlpaca-1.1B.Q2_K.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.Q2_K.gguf) | Q2_K | 0.4GB |
| [TinyAlpaca-1.1B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.IQ3_XS.gguf) | IQ3_XS | 0.44GB |
| [TinyAlpaca-1.1B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.IQ3_S.gguf) | IQ3_S | 0.47GB |
| [TinyAlpaca-1.1B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.Q3_K_S.gguf) | Q3_K_S | 0.47GB |
| [TinyAlpaca-1.1B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.IQ3_M.gguf) | IQ3_M | 0.48GB |
| [TinyAlpaca-1.1B.Q3_K.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.Q3_K.gguf) | Q3_K | 0.51GB |
| [TinyAlpaca-1.1B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.Q3_K_M.gguf) | Q3_K_M | 0.51GB |
| [TinyAlpaca-1.1B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.Q3_K_L.gguf) | Q3_K_L | 0.55GB |
| [TinyAlpaca-1.1B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.IQ4_XS.gguf) | IQ4_XS | 0.57GB |
| [TinyAlpaca-1.1B.Q4_0.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.Q4_0.gguf) | Q4_0 | 0.59GB |
| [TinyAlpaca-1.1B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.IQ4_NL.gguf) | IQ4_NL | 0.6GB |
| [TinyAlpaca-1.1B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.Q4_K_S.gguf) | Q4_K_S | 0.6GB |
| [TinyAlpaca-1.1B.Q4_K.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.Q4_K.gguf) | Q4_K | 0.62GB |
| [TinyAlpaca-1.1B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.Q4_K_M.gguf) | Q4_K_M | 0.62GB |
| [TinyAlpaca-1.1B.Q4_1.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.Q4_1.gguf) | Q4_1 | 0.65GB |
| [TinyAlpaca-1.1B.Q5_0.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.Q5_0.gguf) | Q5_0 | 0.71GB |
| [TinyAlpaca-1.1B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.Q5_K_S.gguf) | Q5_K_S | 0.71GB |
| [TinyAlpaca-1.1B.Q5_K.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.Q5_K.gguf) | Q5_K | 0.73GB |
| [TinyAlpaca-1.1B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.Q5_K_M.gguf) | Q5_K_M | 0.73GB |
| [TinyAlpaca-1.1B.Q5_1.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.Q5_1.gguf) | Q5_1 | 0.77GB |
| [TinyAlpaca-1.1B.Q6_K.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.Q6_K.gguf) | Q6_K | 0.84GB |
| [TinyAlpaca-1.1B.Q8_0.gguf](https://huggingface.co/RichardErkhov/luckychao_-_TinyAlpaca-1.1B-gguf/blob/main/TinyAlpaca-1.1B.Q8_0.gguf) | Q8_0 | 1.09GB |




Original model description:
---
language:
- en
datasets:
- tatsu-lab/alpaca
---
# Model Card for Model ID

This model checkpoint is the TinyLlama-1.1B fine-tuned on [alpaca dataset](https://huggingface.co/datasets/tatsu-lab/alpaca).

## Model Details

### Model Sources 

<!-- Provide the basic links for the model. -->

- **Repository:** https://github.com/jzhang38/TinyLlama
- **Paper:** [https://arxiv.org/abs/2404.02406]

## Uses


The use of this model should comply with the restrictions from [TinyLlama-1.1b](https://github.com/jzhang38/TinyLlama) and 
[Stanford Alpaca](https://github.com/tatsu-lab/stanford_alpaca).

## How to Get Started with the Model

Use the code below to get started with the model.

```
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("luckychao/TinyAlpaca-1.1B")
model = AutoModelForCausalLM.from_pretrained("luckychao/TinyAlpaca-1.1B")

```

## Training Details

### Training Data

We use the [alpaca dataset](https://huggingface.co/datasets/tatsu-lab/alpaca), which is created by researchers from Stanford University.

### Training Procedure

We follow the same training procedure and mostly same hyper-parameters to fine-tune the original Alpaca model on Llama. The procedure can be found in [stanford_alpaca project](https://huggingface.co/datasets/tatsu-lab/alpaca).

#### Training Hyperparameters
```
--num_train_epochs 3 \
--per_device_train_batch_size 2 \
--per_device_eval_batch_size 2 \
--gradient_accumulation_steps 4 \
--evaluation_strategy "no" \
--save_strategy "steps" \
--save_steps 1000 \
--save_total_limit 1 \
--learning_rate 2e-5 \
--weight_decay 0. \
--warmup_ratio 0.03 \
--lr_scheduler_type "cosine" \
--logging_steps 1 \
--bf16 True \
--fsdp "full_shard auto_wrap" \
--fsdp_transformer_layer_cls_to_wrap 'LlamaDecoderLayer' \
--model_max_length 2048 

```


## Citation 

The model is mostly developed for the paper below. Please cite it if you find the repository helpful.

**BibTeX:**
```
@article{hao2024exploring,
  title={Exploring Backdoor Vulnerabilities of Chat Models},
  author={Hao, Yunzhuo and Yang, Wenkai and Lin, Yankai},
  journal={arXiv preprint arXiv:2404.02406},
  year={2024}
}
```