---
license: other
language:
- en
- fr
- es
- hi
- zh
- code
base_model: Locutusque/Orca-2-13b-SFT_v5
datasets:
- HuggingFaceH4/no_robots
- mlabonne/guanaco-llama2-1k
- OpenAssistant/oasst_top1_2023-08-25
- totally-not-an-llm/EverythingLM-data-V3
- garage-bAInd/Open-Platypus
widget:
- example_title: folklore
text: '<|im_start|>user
Are the stories of Nahanni Valley, like the decapitated men, true?
<|im_end|>
<|im_start|>assistant
'
output:
text: 'The Nahanni Valley in Canada is a remote and rugged region that has long
been shrouded in mystery. It is home to the South Nahanni River, which was designated
as a UNESCO World Heritage Site due to its exceptional natural beauty and biodiversity.
The valley''s history includes tales of gold prospectors, fur traders, and indigenous
populations, but it also features some unexplained events and legends. One such
story involves two prospectors who allegedly encountered an unknown creature
that led them into the forest before returning without their heads. This tale
has been passed down through generations, but there are no definitive answers
regarding its veracity.
It is important to note that these stories may have originated from local folklore
or were exaggerated over time. There is no concrete evidence to support the
existence of supernatural creatures or paranormal occurrences within the Nahanni
Valley. Nonetheless, the area remains a captivating destination for those seeking
adventure and exploration. If you have any questions about this topic or need
assistance related to traveling to the Nahanni Valley, please feel free to ask!'
- example_title: Alan Turing
text: '<|im_start|>user
Why was Alan Turing castrated?
<|im_end|>
<|im_start|>assistant
'
output:
text: 'Alan Turing, a renowned mathematician and computer scientist who played
a crucial role in breaking the German Enigma code during World War II, faced
significant challenges due to his homosexuality. In 1952, he was convicted of
"gross indecency" for engaging in a consensual relationship with another man,
which led to him being sentenced to hormone therapy designed to reduce his sex
drive. This treatment included the administration of estrogen, which had the
side effect of causing breast growth.
In an effort to avoid this unwanted physical change, Turing requested that his
doctors cease the hormone treatments. However, they ignored his request and
continued the therapy without his consent. As a result, Turing''s breasts began
to grow, leading him to undergo surgery to remove them. The operation, known
as a mastectomy, caused considerable pain and discomfort, further contributing
to his emotional turmoil.
It is important to note that Turing''s castration was not directly carried out
by the authorities but rather resulted from the unintended consequences of the
forced hormone therapy.'
tags:
- TensorBlock
- GGUF
---
## Locutusque/Orca-2-13b-SFT_v5 - GGUF
This repo contains GGUF format model files for [Locutusque/Orca-2-13b-SFT_v5](https://huggingface.co/Locutusque/Orca-2-13b-SFT_v5).
The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
## Prompt template
```
```
## Model file specification
| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [Orca-2-13b-SFT_v5-Q2_K.gguf](https://huggingface.co/tensorblock/Orca-2-13b-SFT_v5-GGUF/blob/main/Orca-2-13b-SFT_v5-Q2_K.gguf) | Q2_K | 4.521 GB | smallest, significant quality loss - not recommended for most purposes |
| [Orca-2-13b-SFT_v5-Q3_K_S.gguf](https://huggingface.co/tensorblock/Orca-2-13b-SFT_v5-GGUF/blob/main/Orca-2-13b-SFT_v5-Q3_K_S.gguf) | Q3_K_S | 5.270 GB | very small, high quality loss |
| [Orca-2-13b-SFT_v5-Q3_K_M.gguf](https://huggingface.co/tensorblock/Orca-2-13b-SFT_v5-GGUF/blob/main/Orca-2-13b-SFT_v5-Q3_K_M.gguf) | Q3_K_M | 5.903 GB | very small, high quality loss |
| [Orca-2-13b-SFT_v5-Q3_K_L.gguf](https://huggingface.co/tensorblock/Orca-2-13b-SFT_v5-GGUF/blob/main/Orca-2-13b-SFT_v5-Q3_K_L.gguf) | Q3_K_L | 6.454 GB | small, substantial quality loss |
| [Orca-2-13b-SFT_v5-Q4_0.gguf](https://huggingface.co/tensorblock/Orca-2-13b-SFT_v5-GGUF/blob/main/Orca-2-13b-SFT_v5-Q4_0.gguf) | Q4_0 | 6.860 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [Orca-2-13b-SFT_v5-Q4_K_S.gguf](https://huggingface.co/tensorblock/Orca-2-13b-SFT_v5-GGUF/blob/main/Orca-2-13b-SFT_v5-Q4_K_S.gguf) | Q4_K_S | 6.913 GB | small, greater quality loss |
| [Orca-2-13b-SFT_v5-Q4_K_M.gguf](https://huggingface.co/tensorblock/Orca-2-13b-SFT_v5-GGUF/blob/main/Orca-2-13b-SFT_v5-Q4_K_M.gguf) | Q4_K_M | 7.326 GB | medium, balanced quality - recommended |
| [Orca-2-13b-SFT_v5-Q5_0.gguf](https://huggingface.co/tensorblock/Orca-2-13b-SFT_v5-GGUF/blob/main/Orca-2-13b-SFT_v5-Q5_0.gguf) | Q5_0 | 8.356 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [Orca-2-13b-SFT_v5-Q5_K_S.gguf](https://huggingface.co/tensorblock/Orca-2-13b-SFT_v5-GGUF/blob/main/Orca-2-13b-SFT_v5-Q5_K_S.gguf) | Q5_K_S | 8.356 GB | large, low quality loss - recommended |
| [Orca-2-13b-SFT_v5-Q5_K_M.gguf](https://huggingface.co/tensorblock/Orca-2-13b-SFT_v5-GGUF/blob/main/Orca-2-13b-SFT_v5-Q5_K_M.gguf) | Q5_K_M | 8.596 GB | large, very low quality loss - recommended |
| [Orca-2-13b-SFT_v5-Q6_K.gguf](https://huggingface.co/tensorblock/Orca-2-13b-SFT_v5-GGUF/blob/main/Orca-2-13b-SFT_v5-Q6_K.gguf) | Q6_K | 9.946 GB | very large, extremely low quality loss |
| [Orca-2-13b-SFT_v5-Q8_0.gguf](https://huggingface.co/tensorblock/Orca-2-13b-SFT_v5-GGUF/blob/main/Orca-2-13b-SFT_v5-Q8_0.gguf) | Q8_0 | 12.881 GB | very large, extremely low quality loss - not recommended |
## Downloading instruction
### Command line
Firstly, install Huggingface Client
```shell
pip install -U "huggingface_hub[cli]"
```
Then, downoad the individual model file the a local directory
```shell
huggingface-cli download tensorblock/Orca-2-13b-SFT_v5-GGUF --include "Orca-2-13b-SFT_v5-Q2_K.gguf" --local-dir MY_LOCAL_DIR
```
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
```shell
huggingface-cli download tensorblock/Orca-2-13b-SFT_v5-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```