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---
license: apache-2.0
language:
- ko
- en
library_name: transformers
datasets:
- davidkim205/kollm-converations
- davidkim205/kollm-comparision
tags:
- TensorBlock
- GGUF
base_model: cockroach54/opensolar-qlora-dpo
---
<div style="width: auto; margin-left: auto; margin-right: auto">
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## cockroach54/opensolar-qlora-dpo - GGUF
This repo contains GGUF format model files for [cockroach54/opensolar-qlora-dpo](https://huggingface.co/cockroach54/opensolar-qlora-dpo).
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).
## Our projects
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<a href="https://github.com/TensorBlock/forge" target="_blank" style="
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<th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
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<a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style="
display: inline-block;
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font-weight: bold;
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">π See what we built π</a>
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</table>
## Prompt template
```
```
## Model file specification
| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [opensolar-qlora-dpo-Q2_K.gguf](https://huggingface.co/tensorblock/opensolar-qlora-dpo-GGUF/blob/main/opensolar-qlora-dpo-Q2_K.gguf) | Q2_K | 3.793 GB | smallest, significant quality loss - not recommended for most purposes |
| [opensolar-qlora-dpo-Q3_K_S.gguf](https://huggingface.co/tensorblock/opensolar-qlora-dpo-GGUF/blob/main/opensolar-qlora-dpo-Q3_K_S.gguf) | Q3_K_S | 4.414 GB | very small, high quality loss |
| [opensolar-qlora-dpo-Q3_K_M.gguf](https://huggingface.co/tensorblock/opensolar-qlora-dpo-GGUF/blob/main/opensolar-qlora-dpo-Q3_K_M.gguf) | Q3_K_M | 4.909 GB | very small, high quality loss |
| [opensolar-qlora-dpo-Q3_K_L.gguf](https://huggingface.co/tensorblock/opensolar-qlora-dpo-GGUF/blob/main/opensolar-qlora-dpo-Q3_K_L.gguf) | Q3_K_L | 5.333 GB | small, substantial quality loss |
| [opensolar-qlora-dpo-Q4_0.gguf](https://huggingface.co/tensorblock/opensolar-qlora-dpo-GGUF/blob/main/opensolar-qlora-dpo-Q4_0.gguf) | Q4_0 | 5.733 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [opensolar-qlora-dpo-Q4_K_S.gguf](https://huggingface.co/tensorblock/opensolar-qlora-dpo-GGUF/blob/main/opensolar-qlora-dpo-Q4_K_S.gguf) | Q4_K_S | 5.776 GB | small, greater quality loss |
| [opensolar-qlora-dpo-Q4_K_M.gguf](https://huggingface.co/tensorblock/opensolar-qlora-dpo-GGUF/blob/main/opensolar-qlora-dpo-Q4_K_M.gguf) | Q4_K_M | 6.095 GB | medium, balanced quality - recommended |
| [opensolar-qlora-dpo-Q5_0.gguf](https://huggingface.co/tensorblock/opensolar-qlora-dpo-GGUF/blob/main/opensolar-qlora-dpo-Q5_0.gguf) | Q5_0 | 6.974 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [opensolar-qlora-dpo-Q5_K_S.gguf](https://huggingface.co/tensorblock/opensolar-qlora-dpo-GGUF/blob/main/opensolar-qlora-dpo-Q5_K_S.gguf) | Q5_K_S | 6.974 GB | large, low quality loss - recommended |
| [opensolar-qlora-dpo-Q5_K_M.gguf](https://huggingface.co/tensorblock/opensolar-qlora-dpo-GGUF/blob/main/opensolar-qlora-dpo-Q5_K_M.gguf) | Q5_K_M | 7.160 GB | large, very low quality loss - recommended |
| [opensolar-qlora-dpo-Q6_K.gguf](https://huggingface.co/tensorblock/opensolar-qlora-dpo-GGUF/blob/main/opensolar-qlora-dpo-Q6_K.gguf) | Q6_K | 8.292 GB | very large, extremely low quality loss |
| [opensolar-qlora-dpo-Q8_0.gguf](https://huggingface.co/tensorblock/opensolar-qlora-dpo-GGUF/blob/main/opensolar-qlora-dpo-Q8_0.gguf) | Q8_0 | 10.740 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/opensolar-qlora-dpo-GGUF --include "opensolar-qlora-dpo-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/opensolar-qlora-dpo-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```
|