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Minitron-8B-Base-GGUF

Text Generation
GGUF
quantized
GGUF
quantization
static
16bit
8bit
6bit
5bit
4bit
3bit
2bit
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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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+
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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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+
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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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+
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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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+ ---
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+
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+ ## Files
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+
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+
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+
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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 | Q8_0 | - | ⏳ Processing | ⚪ Static | -
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+ | Minitron-8B-Base.Q6_K | Q6_K | - | ⏳ Processing | ⚪ Static | -
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+ | Minitron-8B-Base.Q4_K | Q4_K | - | ⏳ Processing | ⚪ Static | -
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+ | Minitron-8B-Base.Q3_K | Q3_K | - | ⏳ Processing | ⚪ Static | -
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+ | Minitron-8B-Base.Q2_K | Q2_K | - | ⏳ Processing | ⚪ Static | -
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+
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+
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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 | BF16 | - | ⏳ Processing | ⚪ Static | -
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+ | Minitron-8B-Base.FP16 | F16 | - | ⏳ Processing | ⚪ Static | -
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+ | Minitron-8B-Base.Q8_0 | Q8_0 | - | ⏳ Processing | ⚪ Static | -
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+ | Minitron-8B-Base.Q6_K | Q6_K | - | ⏳ Processing | ⚪ Static | -
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+ | Minitron-8B-Base.Q5_K | Q5_K | - | ⏳ Processing | ⚪ Static | -
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+ | Minitron-8B-Base.Q5_K_S | Q5_K_S | - | ⏳ Processing | ⚪ Static | -
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+ | Minitron-8B-Base.Q4_K | Q4_K | - | ⏳ Processing | ⚪ Static | -
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+ | Minitron-8B-Base.Q4_K_S | Q4_K_S | - | ⏳ Processing | ⚪ Static | -
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+ | Minitron-8B-Base.IQ4_NL | IQ4_NL | - | ⏳ Processing | ⚪ Static | -
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+ | Minitron-8B-Base.IQ4_XS | IQ4_XS | - | ⏳ Processing | ⚪ Static | -
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+ | Minitron-8B-Base.Q3_K | Q3_K | - | ⏳ Processing | ⚪ Static | -
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+ | Minitron-8B-Base.Q3_K_L | Q3_K_L | - | ⏳ Processing | ⚪ Static | -
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+ | Minitron-8B-Base.Q3_K_S | Q3_K_S | - | ⏳ Processing | ⚪ Static | -
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+ | Minitron-8B-Base.IQ3_M | IQ3_M | - | ⏳ Processing | ⚪ Static | -
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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 | Q2_K | - | ⏳ Processing | ⚪ Static | -
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+
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+
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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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+ ---
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+
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+ ## Inference
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+
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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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+ ---
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+
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+ ## FAQ
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+
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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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+
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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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+ ---
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+
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+ Got a suggestion? Ping me [@legraphista](https://x.com/legraphista)!