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--- |
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base_model: nvidia/Minitron-8B-Base |
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inference: false |
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library_name: gguf |
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license: other |
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license_link: https://developer.download.nvidia.com/licenses/nvidia-open-model-license-agreement-june-2024.pdf |
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license_name: nvidia-open-model-license |
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pipeline_tag: text-generation |
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quantized_by: legraphista |
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tags: |
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- quantized |
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- GGUF |
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- quantization |
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- static |
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- 16bit |
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- 8bit |
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- 6bit |
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- 5bit |
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- 4bit |
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- 3bit |
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- 2bit |
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--- |
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# Minitron-8B-Base-GGUF |
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_Llama.cpp static quantization of nvidia/Minitron-8B-Base_ |
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Original Model: [nvidia/Minitron-8B-Base](https://huggingface.co/nvidia/Minitron-8B-Base) |
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Original dtype: `BF16` (`bfloat16`) |
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Quantized by: llama.cpp [b3600](https://github.com/ggerganov/llama.cpp/releases/tag/b3600) |
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IMatrix dataset: [here](https://gist.githubusercontent.com/bartowski1182/eb213dccb3571f863da82e99418f81e8/raw/b2869d80f5c16fd7082594248e80144677736635/calibration_datav3.txt) |
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- [Files](#files) |
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- [Common Quants](#common-quants) |
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- [All Quants](#all-quants) |
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- [Downloading using huggingface-cli](#downloading-using-huggingface-cli) |
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- [Inference](#inference) |
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- [Llama.cpp](#llama-cpp) |
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- [FAQ](#faq) |
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- [Why is the IMatrix not applied everywhere?](#why-is-the-imatrix-not-applied-everywhere) |
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- [How do I merge a split GGUF?](#how-do-i-merge-a-split-gguf) |
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--- |
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## Files |
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### Common Quants |
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| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split | |
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| -------- | ---------- | --------- | ------ | ------------ | -------- | |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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### All Quants |
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| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split | |
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| -------- | ---------- | --------- | ------ | ------------ | -------- | |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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| Minitron-8B-Base.IQ3_S | IQ3_S | - | ⏳ Processing | ⚪ Static | - |
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| Minitron-8B-Base.IQ3_XS | IQ3_XS | - | ⏳ Processing | ⚪ Static | - |
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| [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 |
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## Downloading using huggingface-cli |
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If you do not have hugginface-cli installed: |
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``` |
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pip install -U "huggingface_hub[cli]" |
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``` |
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Download the specific file you want: |
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``` |
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huggingface-cli download legraphista/Minitron-8B-Base-GGUF --include "Minitron-8B-Base.Q8_0.gguf" --local-dir ./ |
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``` |
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If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run: |
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``` |
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huggingface-cli download legraphista/Minitron-8B-Base-GGUF --include "Minitron-8B-Base.Q8_0/*" --local-dir ./ |
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# see FAQ for merging GGUF's |
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``` |
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--- |
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## Inference |
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### Llama.cpp |
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``` |
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llama.cpp/main -m Minitron-8B-Base.Q8_0.gguf --color -i -p "prompt here" |
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``` |
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--- |
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## FAQ |
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### Why is the IMatrix not applied everywhere? |
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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). |
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### How do I merge a split GGUF? |
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1. Make sure you have `gguf-split` available |
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- To get hold of `gguf-split`, navigate to https://github.com/ggerganov/llama.cpp/releases |
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- Download the appropriate zip for your system from the latest release |
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- Unzip the archive and you should be able to find `gguf-split` |
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2. Locate your GGUF chunks folder (ex: `Minitron-8B-Base.Q8_0`) |
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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` |
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- Make sure to point `gguf-split` to the first chunk of the split. |
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--- |
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Got a suggestion? Ping me [@legraphista](https://x.com/legraphista)! |
