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metadata
base_model: nvidia/Llama-3.1-Minitron-4B-Width-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

Llama-3.1-Minitron-4B-Width-Base-GGUF

Llama.cpp static quantization of nvidia/Llama-3.1-Minitron-4B-Width-Base

Original Model: nvidia/Llama-3.1-Minitron-4B-Width-Base
Original dtype: BF16 (bfloat16)
Quantized by: llama.cpp b3600
IMatrix dataset: here


Files

Common Quants

Filename Quant type File Size Status Uses IMatrix Is Split
Llama-3.1-Minitron-4B-Width-Base.Q8_0.gguf Q8_0 4.80GB βœ… Available βšͺ Static πŸ“¦ No
Llama-3.1-Minitron-4B-Width-Base.Q6_K.gguf Q6_K 3.71GB βœ… Available βšͺ Static πŸ“¦ No
Llama-3.1-Minitron-4B-Width-Base.Q4_K.gguf Q4_K 2.78GB βœ… Available βšͺ Static πŸ“¦ No
Llama-3.1-Minitron-4B-Width-Base.Q3_K.gguf Q3_K 2.30GB βœ… Available βšͺ Static πŸ“¦ No
Llama-3.1-Minitron-4B-Width-Base.Q2_K.gguf Q2_K 1.84GB βœ… Available βšͺ Static πŸ“¦ No

All Quants

Filename Quant type File Size Status Uses IMatrix Is Split
Llama-3.1-Minitron-4B-Width-Base.BF16.gguf BF16 9.03GB βœ… Available βšͺ Static πŸ“¦ No
Llama-3.1-Minitron-4B-Width-Base.FP16.gguf F16 9.03GB βœ… Available βšͺ Static πŸ“¦ No
Llama-3.1-Minitron-4B-Width-Base.Q8_0.gguf Q8_0 4.80GB βœ… Available βšͺ Static πŸ“¦ No
Llama-3.1-Minitron-4B-Width-Base.Q6_K.gguf Q6_K 3.71GB βœ… Available βšͺ Static πŸ“¦ No
Llama-3.1-Minitron-4B-Width-Base.Q5_K.gguf Q5_K 3.23GB βœ… Available βšͺ Static πŸ“¦ No
Llama-3.1-Minitron-4B-Width-Base.Q5_K_S.gguf Q5_K_S 3.16GB βœ… Available βšͺ Static πŸ“¦ No
Llama-3.1-Minitron-4B-Width-Base.Q4_K.gguf Q4_K 2.78GB βœ… Available βšͺ Static πŸ“¦ No
Llama-3.1-Minitron-4B-Width-Base.Q4_K_S.gguf Q4_K_S 2.66GB βœ… Available βšͺ Static πŸ“¦ No
Llama-3.1-Minitron-4B-Width-Base.IQ4_NL.gguf IQ4_NL 2.68GB βœ… Available βšͺ Static πŸ“¦ No
Llama-3.1-Minitron-4B-Width-Base.IQ4_XS.gguf IQ4_XS 2.55GB βœ… Available βšͺ Static πŸ“¦ No
Llama-3.1-Minitron-4B-Width-Base.Q3_K.gguf Q3_K 2.30GB βœ… Available βšͺ Static πŸ“¦ No
Llama-3.1-Minitron-4B-Width-Base.Q3_K_L.gguf Q3_K_L 2.46GB βœ… Available βšͺ Static πŸ“¦ No
Llama-3.1-Minitron-4B-Width-Base.Q3_K_S.gguf Q3_K_S 2.10GB βœ… Available βšͺ Static πŸ“¦ No
Llama-3.1-Minitron-4B-Width-Base.IQ3_M IQ3_M - ⏳ Processing βšͺ Static -
Llama-3.1-Minitron-4B-Width-Base.IQ3_S IQ3_S - ⏳ Processing βšͺ Static -
Llama-3.1-Minitron-4B-Width-Base.IQ3_XS IQ3_XS - ⏳ Processing βšͺ Static -
Llama-3.1-Minitron-4B-Width-Base.Q2_K.gguf Q2_K 1.84GB βœ… Available βšͺ Static πŸ“¦ 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/Llama-3.1-Minitron-4B-Width-Base-GGUF --include "Llama-3.1-Minitron-4B-Width-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/Llama-3.1-Minitron-4B-Width-Base-GGUF --include "Llama-3.1-Minitron-4B-Width-Base.Q8_0/*" --local-dir ./
# see FAQ for merging GGUF's

Inference

Llama.cpp

llama.cpp/main -m Llama-3.1-Minitron-4B-Width-Base.Q8_0.gguf --color -i -p "prompt here"

FAQ

Why is the IMatrix not applied everywhere?

According to this investigation, 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
  2. Locate your GGUF chunks folder (ex: Llama-3.1-Minitron-4B-Width-Base.Q8_0)
  3. Run gguf-split --merge Llama-3.1-Minitron-4B-Width-Base.Q8_0/Llama-3.1-Minitron-4B-Width-Base.Q8_0-00001-of-XXXXX.gguf Llama-3.1-Minitron-4B-Width-Base.Q8_0.gguf
    • Make sure to point gguf-split to the first chunk of the split.

Got a suggestion? Ping me @legraphista!