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---
base_model: nvidia/Minitron-8B-Base
inference: false
library_name: gguf
license: other
license_link: https://developer.download.nvidia.com/licenses/nvidia-open-model-license-agreement-june-2024.pdf
license_name: nvidia-open-model-license
pipeline_tag: text-generation
quantized_by: legraphista
tags:
- quantized
- GGUF
- quantization
- static
- 16bit
- 8bit
- 6bit
- 5bit
- 4bit
- 3bit
- 2bit
---
# Minitron-8B-Base-GGUF
_Llama.cpp static quantization of nvidia/Minitron-8B-Base_
Original Model: [nvidia/Minitron-8B-Base](https://huggingface.co/nvidia/Minitron-8B-Base)
Original dtype: `BF16` (`bfloat16`)
Quantized by: llama.cpp [b3600](https://github.com/ggerganov/llama.cpp/releases/tag/b3600)
IMatrix dataset: [here](https://gist.githubusercontent.com/bartowski1182/eb213dccb3571f863da82e99418f81e8/raw/b2869d80f5c16fd7082594248e80144677736635/calibration_datav3.txt)
- [Files](#files)
- [Common Quants](#common-quants)
- [All Quants](#all-quants)
- [Downloading using huggingface-cli](#downloading-using-huggingface-cli)
- [Inference](#inference)
- [Llama.cpp](#llama-cpp)
- [FAQ](#faq)
- [Why is the IMatrix not applied everywhere?](#why-is-the-imatrix-not-applied-everywhere)
- [How do I merge a split GGUF?](#how-do-i-merge-a-split-gguf)
---
## Files
### Common Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [Minitron-8B-Base.Q8_0.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.Q8_0.gguf) | Q8_0 | 8.80GB | ✅ Available | ⚪ Static | 📦 No
| [Minitron-8B-Base.Q6_K.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.Q6_K.gguf) | Q6_K | 6.79GB | ✅ Available | ⚪ Static | 📦 No
| [Minitron-8B-Base.Q4_K.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.Q4_K.gguf) | Q4_K | 5.23GB | ✅ Available | ⚪ Static | 📦 No
| [Minitron-8B-Base.Q3_K.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.Q3_K.gguf) | Q3_K | 4.40GB | ✅ Available | ⚪ Static | 📦 No
| [Minitron-8B-Base.Q2_K.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.Q2_K.gguf) | Q2_K | 3.57GB | ✅ Available | ⚪ Static | 📦 No
### All Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [Minitron-8B-Base.BF16.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.BF16.gguf) | BF16 | 16.55GB | ✅ Available | ⚪ Static | 📦 No
| [Minitron-8B-Base.FP16.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.FP16.gguf) | F16 | 16.55GB | ✅ Available | ⚪ Static | 📦 No
| [Minitron-8B-Base.Q8_0.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.Q8_0.gguf) | Q8_0 | 8.80GB | ✅ Available | ⚪ Static | 📦 No
| [Minitron-8B-Base.Q6_K.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.Q6_K.gguf) | Q6_K | 6.79GB | ✅ Available | ⚪ Static | 📦 No
| [Minitron-8B-Base.Q5_K.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.Q5_K.gguf) | Q5_K | 5.99GB | ✅ Available | ⚪ Static | 📦 No
| [Minitron-8B-Base.Q5_K_S.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.Q5_K_S.gguf) | Q5_K_S | 5.83GB | ✅ Available | ⚪ Static | 📦 No
| [Minitron-8B-Base.Q4_K.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.Q4_K.gguf) | Q4_K | 5.23GB | ✅ Available | ⚪ Static | 📦 No
| [Minitron-8B-Base.Q4_K_S.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.Q4_K_S.gguf) | Q4_K_S | 4.97GB | ✅ Available | ⚪ Static | 📦 No
| [Minitron-8B-Base.IQ4_NL.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.IQ4_NL.gguf) | IQ4_NL | 4.98GB | ✅ Available | ⚪ Static | 📦 No
| [Minitron-8B-Base.IQ4_XS.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.IQ4_XS.gguf) | IQ4_XS | 4.77GB | ✅ Available | ⚪ Static | 📦 No
| [Minitron-8B-Base.Q3_K.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.Q3_K.gguf) | Q3_K | 4.40GB | ✅ Available | ⚪ Static | 📦 No
| [Minitron-8B-Base.Q3_K_L.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.Q3_K_L.gguf) | Q3_K_L | 4.77GB | ✅ Available | ⚪ Static | 📦 No
| [Minitron-8B-Base.Q3_K_S.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.Q3_K_S.gguf) | Q3_K_S | 3.97GB | ✅ Available | ⚪ Static | 📦 No
| [Minitron-8B-Base.IQ3_M.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.IQ3_M.gguf) | IQ3_M | 4.13GB | ✅ Available | ⚪ Static | 📦 No
| [Minitron-8B-Base.IQ3_S.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.IQ3_S.gguf) | IQ3_S | 3.99GB | ✅ Available | ⚪ Static | 📦 No
| [Minitron-8B-Base.IQ3_XS.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.IQ3_XS.gguf) | IQ3_XS | 3.87GB | ✅ Available | ⚪ Static | 📦 No
| [Minitron-8B-Base.Q2_K.gguf](https://huggingface.co/legraphista/Minitron-8B-Base-GGUF/blob/main/Minitron-8B-Base.Q2_K.gguf) | Q2_K | 3.57GB | ✅ Available | ⚪ Static | 📦 No
## Downloading using huggingface-cli
If you do not have hugginface-cli installed:
```
pip install -U "huggingface_hub[cli]"
```
Download the specific file you want:
```
huggingface-cli download legraphista/Minitron-8B-Base-GGUF --include "Minitron-8B-Base.Q8_0.gguf" --local-dir ./
```
If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run:
```
huggingface-cli download legraphista/Minitron-8B-Base-GGUF --include "Minitron-8B-Base.Q8_0/*" --local-dir ./
# see FAQ for merging GGUF's
```
---
## Inference
### Llama.cpp
```
llama.cpp/main -m Minitron-8B-Base.Q8_0.gguf --color -i -p "prompt here"
```
---
## FAQ
### Why is the IMatrix not applied everywhere?
According to [this investigation](https://www.reddit.com/r/LocalLLaMA/comments/1993iro/ggufs_quants_can_punch_above_their_weights_now/), it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).
### How do I merge a split GGUF?
1. Make sure you have `gguf-split` available
- To get hold of `gguf-split`, navigate to https://github.com/ggerganov/llama.cpp/releases
- Download the appropriate zip for your system from the latest release
- Unzip the archive and you should be able to find `gguf-split`
2. Locate your GGUF chunks folder (ex: `Minitron-8B-Base.Q8_0`)
3. Run `gguf-split --merge Minitron-8B-Base.Q8_0/Minitron-8B-Base.Q8_0-00001-of-XXXXX.gguf Minitron-8B-Base.Q8_0.gguf`
- Make sure to point `gguf-split` to the first chunk of the split.
---
Got a suggestion? Ping me [@legraphista](https://x.com/legraphista)! |