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Minitron-8B-Base-GGUF

Llama.cpp static quantization of nvidia/Minitron-8B-Base

Original Model: nvidia/Minitron-8B-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
Minitron-8B-Base.Q8_0.gguf Q8_0 8.80GB βœ… Available βšͺ Static πŸ“¦ No
Minitron-8B-Base.Q6_K.gguf Q6_K 6.79GB βœ… Available βšͺ Static πŸ“¦ No
Minitron-8B-Base.Q4_K.gguf Q4_K 5.23GB βœ… Available βšͺ Static πŸ“¦ No
Minitron-8B-Base.Q3_K.gguf Q3_K 4.40GB βœ… Available βšͺ Static πŸ“¦ No
Minitron-8B-Base.Q2_K.gguf Q2_K 3.57GB βœ… Available βšͺ Static πŸ“¦ No

All Quants

Filename Quant type File Size Status Uses IMatrix Is Split
Minitron-8B-Base.BF16.gguf BF16 16.55GB βœ… Available βšͺ Static πŸ“¦ No
Minitron-8B-Base.FP16.gguf F16 16.55GB βœ… Available βšͺ Static πŸ“¦ No
Minitron-8B-Base.Q8_0.gguf Q8_0 8.80GB βœ… Available βšͺ Static πŸ“¦ No
Minitron-8B-Base.Q6_K.gguf Q6_K 6.79GB βœ… Available βšͺ Static πŸ“¦ No
Minitron-8B-Base.Q5_K.gguf Q5_K 5.99GB βœ… Available βšͺ Static πŸ“¦ No
Minitron-8B-Base.Q5_K_S.gguf Q5_K_S 5.83GB βœ… Available βšͺ Static πŸ“¦ No
Minitron-8B-Base.Q4_K.gguf Q4_K 5.23GB βœ… Available βšͺ Static πŸ“¦ No
Minitron-8B-Base.Q4_K_S.gguf Q4_K_S 4.97GB βœ… Available βšͺ Static πŸ“¦ No
Minitron-8B-Base.IQ4_NL.gguf IQ4_NL 4.98GB βœ… Available βšͺ Static πŸ“¦ No
Minitron-8B-Base.IQ4_XS.gguf IQ4_XS 4.77GB βœ… Available βšͺ Static πŸ“¦ No
Minitron-8B-Base.Q3_K.gguf Q3_K 4.40GB βœ… Available βšͺ Static πŸ“¦ No
Minitron-8B-Base.Q3_K_L.gguf Q3_K_L 4.77GB βœ… Available βšͺ Static πŸ“¦ No
Minitron-8B-Base.Q3_K_S.gguf Q3_K_S 3.97GB βœ… Available βšͺ Static πŸ“¦ No
Minitron-8B-Base.IQ3_M.gguf IQ3_M 4.13GB βœ… Available βšͺ Static πŸ“¦ No
Minitron-8B-Base.IQ3_S.gguf IQ3_S 3.99GB βœ… Available βšͺ Static πŸ“¦ No
Minitron-8B-Base.IQ3_XS.gguf IQ3_XS 3.87GB βœ… Available βšͺ Static πŸ“¦ No
Minitron-8B-Base.Q2_K.gguf Q2_K 3.57GB 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/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, 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: 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!

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