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---
base_model: blueapple8259/TinyAlpaca-v0.1
datasets:
- yahma/alpaca-cleaned
inference: false
license: mit
model_creator: blueapple8259
model_name: TinyAlpaca-v0.1
pipeline_tag: text-generation
quantized_by: afrideva
tags:
- gguf
- ggml
- quantized
- q2_k
- q3_k_m
- q4_k_m
- q5_k_m
- q6_k
- q8_0
---
# blueapple8259/TinyAlpaca-v0.1-GGUF
Quantized GGUF model files for [TinyAlpaca-v0.1](https://huggingface.co./blueapple8259/TinyAlpaca-v0.1) from [blueapple8259](https://huggingface.co./blueapple8259)
| Name | Quant method | Size |
| ---- | ---- | ---- |
| [tinyalpaca-v0.1.q2_k.gguf](https://huggingface.co./afrideva/TinyAlpaca-v0.1-GGUF/resolve/main/tinyalpaca-v0.1.q2_k.gguf) | q2_k | 482.14 MB |
| [tinyalpaca-v0.1.q3_k_m.gguf](https://huggingface.co./afrideva/TinyAlpaca-v0.1-GGUF/resolve/main/tinyalpaca-v0.1.q3_k_m.gguf) | q3_k_m | 549.85 MB |
| [tinyalpaca-v0.1.q4_k_m.gguf](https://huggingface.co./afrideva/TinyAlpaca-v0.1-GGUF/resolve/main/tinyalpaca-v0.1.q4_k_m.gguf) | q4_k_m | 667.81 MB |
| [tinyalpaca-v0.1.q5_k_m.gguf](https://huggingface.co./afrideva/TinyAlpaca-v0.1-GGUF/resolve/main/tinyalpaca-v0.1.q5_k_m.gguf) | q5_k_m | 782.04 MB |
| [tinyalpaca-v0.1.q6_k.gguf](https://huggingface.co./afrideva/TinyAlpaca-v0.1-GGUF/resolve/main/tinyalpaca-v0.1.q6_k.gguf) | q6_k | 903.41 MB |
| [tinyalpaca-v0.1.q8_0.gguf](https://huggingface.co./afrideva/TinyAlpaca-v0.1-GGUF/resolve/main/tinyalpaca-v0.1.q8_0.gguf) | q8_0 | 1.17 GB |
## Original Model Card:
This model is a [TinyLlama](https://huggingface.co./TinyLlama/TinyLlama-1.1B-intermediate-step-715k-1.5T) model fine-tuned with the [yahma/alpaca-cleaned](https://huggingface.co./datasets/yahma/alpaca-cleaned) dataset.
prompt:
```
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Response:
```
```
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Input:
{input}
### Response:
``` |