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---
library_name: transformers
language:
- en
- ko
pipeline_tag: translation
license: mit
datasets:
- pre
base_model: 4yo1/llama3-pre1-pre2-inst3-lora3-mergkit-base
tags:
- TensorBlock
- GGUF
---
<div style="width: auto; margin-left: auto; margin-right: auto">
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<div style="display: flex; justify-content: space-between; width: 100%;">
<div style="display: flex; flex-direction: column; align-items: flex-start;">
<p style="margin-top: 0.5em; margin-bottom: 0em;">
Feedback and support: TensorBlock's <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
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## 4yo1/llama3-pre1-pre2-inst3-lora3-mergkit-base - GGUF
This repo contains GGUF format model files for [4yo1/llama3-pre1-pre2-inst3-lora3-mergkit-base](https://huggingface.co/4yo1/llama3-pre1-pre2-inst3-lora3-mergkit-base).
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
```
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
```
## Model file specification
| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [llama3-pre1-pre2-inst3-lora3-mergkit-base-Q2_K.gguf](https://huggingface.co/tensorblock/llama3-pre1-pre2-inst3-lora3-mergkit-base-GGUF/tree/main/llama3-pre1-pre2-inst3-lora3-mergkit-base-Q2_K.gguf) | Q2_K | 2.980 GB | smallest, significant quality loss - not recommended for most purposes |
| [llama3-pre1-pre2-inst3-lora3-mergkit-base-Q3_K_S.gguf](https://huggingface.co/tensorblock/llama3-pre1-pre2-inst3-lora3-mergkit-base-GGUF/tree/main/llama3-pre1-pre2-inst3-lora3-mergkit-base-Q3_K_S.gguf) | Q3_K_S | 3.428 GB | very small, high quality loss |
| [llama3-pre1-pre2-inst3-lora3-mergkit-base-Q3_K_M.gguf](https://huggingface.co/tensorblock/llama3-pre1-pre2-inst3-lora3-mergkit-base-GGUF/tree/main/llama3-pre1-pre2-inst3-lora3-mergkit-base-Q3_K_M.gguf) | Q3_K_M | 3.741 GB | very small, high quality loss |
| [llama3-pre1-pre2-inst3-lora3-mergkit-base-Q3_K_L.gguf](https://huggingface.co/tensorblock/llama3-pre1-pre2-inst3-lora3-mergkit-base-GGUF/tree/main/llama3-pre1-pre2-inst3-lora3-mergkit-base-Q3_K_L.gguf) | Q3_K_L | 4.021 GB | small, substantial quality loss |
| [llama3-pre1-pre2-inst3-lora3-mergkit-base-Q4_0.gguf](https://huggingface.co/tensorblock/llama3-pre1-pre2-inst3-lora3-mergkit-base-GGUF/tree/main/llama3-pre1-pre2-inst3-lora3-mergkit-base-Q4_0.gguf) | Q4_0 | 4.340 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [llama3-pre1-pre2-inst3-lora3-mergkit-base-Q4_K_S.gguf](https://huggingface.co/tensorblock/llama3-pre1-pre2-inst3-lora3-mergkit-base-GGUF/tree/main/llama3-pre1-pre2-inst3-lora3-mergkit-base-Q4_K_S.gguf) | Q4_K_S | 4.362 GB | small, greater quality loss |
| [llama3-pre1-pre2-inst3-lora3-mergkit-base-Q4_K_M.gguf](https://huggingface.co/tensorblock/llama3-pre1-pre2-inst3-lora3-mergkit-base-GGUF/tree/main/llama3-pre1-pre2-inst3-lora3-mergkit-base-Q4_K_M.gguf) | Q4_K_M | 4.566 GB | medium, balanced quality - recommended |
| [llama3-pre1-pre2-inst3-lora3-mergkit-base-Q5_0.gguf](https://huggingface.co/tensorblock/llama3-pre1-pre2-inst3-lora3-mergkit-base-GGUF/tree/main/llama3-pre1-pre2-inst3-lora3-mergkit-base-Q5_0.gguf) | Q5_0 | 5.198 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [llama3-pre1-pre2-inst3-lora3-mergkit-base-Q5_K_S.gguf](https://huggingface.co/tensorblock/llama3-pre1-pre2-inst3-lora3-mergkit-base-GGUF/tree/main/llama3-pre1-pre2-inst3-lora3-mergkit-base-Q5_K_S.gguf) | Q5_K_S | 5.198 GB | large, low quality loss - recommended |
| [llama3-pre1-pre2-inst3-lora3-mergkit-base-Q5_K_M.gguf](https://huggingface.co/tensorblock/llama3-pre1-pre2-inst3-lora3-mergkit-base-GGUF/tree/main/llama3-pre1-pre2-inst3-lora3-mergkit-base-Q5_K_M.gguf) | Q5_K_M | 5.315 GB | large, very low quality loss - recommended |
| [llama3-pre1-pre2-inst3-lora3-mergkit-base-Q6_K.gguf](https://huggingface.co/tensorblock/llama3-pre1-pre2-inst3-lora3-mergkit-base-GGUF/tree/main/llama3-pre1-pre2-inst3-lora3-mergkit-base-Q6_K.gguf) | Q6_K | 6.110 GB | very large, extremely low quality loss |
| [llama3-pre1-pre2-inst3-lora3-mergkit-base-Q8_0.gguf](https://huggingface.co/tensorblock/llama3-pre1-pre2-inst3-lora3-mergkit-base-GGUF/tree/main/llama3-pre1-pre2-inst3-lora3-mergkit-base-Q8_0.gguf) | Q8_0 | 7.911 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/llama3-pre1-pre2-inst3-lora3-mergkit-base-GGUF --include "llama3-pre1-pre2-inst3-lora3-mergkit-base-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/llama3-pre1-pre2-inst3-lora3-mergkit-base-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```
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