legraphista / shieldgemma-9b-IMat-GGUF

huggingface.co
Total runs: 459
24-hour runs: 0
7-day runs: 22
30-day runs: 312
Model's Last Updated: August 06 2024
text-generation

Introduction of shieldgemma-9b-IMat-GGUF

Model Details of shieldgemma-9b-IMat-GGUF

shieldgemma-9b-IMat-GGUF

Llama.cpp imatrix quantization of google/shieldgemma-9b

Original Model: google/shieldgemma-9b
Original dtype: BF16 ( bfloat16 )
Quantized by: llama.cpp b3525
IMatrix dataset: here


Files
IMatrix

Status: โœ… Available
Link: here

Common Quants
Filename Quant type File Size Status Uses IMatrix Is Split
shieldgemma-9b.Q8_0.gguf Q8_0 9.83GB โœ… Available โšช Static ๐Ÿ“ฆ No
shieldgemma-9b.Q6_K.gguf Q6_K 7.59GB โœ… Available โšช Static ๐Ÿ“ฆ No
shieldgemma-9b.Q4_K.gguf Q4_K 5.76GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ No
shieldgemma-9b.Q3_K.gguf Q3_K 4.76GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ No
shieldgemma-9b.Q2_K.gguf Q2_K 3.81GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ No
All Quants
Filename Quant type File Size Status Uses IMatrix Is Split
shieldgemma-9b.BF16.gguf BF16 18.49GB โœ… Available โšช Static ๐Ÿ“ฆ No
shieldgemma-9b.FP16.gguf F16 18.49GB โœ… Available โšช Static ๐Ÿ“ฆ No
shieldgemma-9b.Q8_0.gguf Q8_0 9.83GB โœ… Available โšช Static ๐Ÿ“ฆ No
shieldgemma-9b.Q6_K.gguf Q6_K 7.59GB โœ… Available โšช Static ๐Ÿ“ฆ No
shieldgemma-9b.Q5_K.gguf Q5_K 6.65GB โœ… Available โšช Static ๐Ÿ“ฆ No
shieldgemma-9b.Q5_K_S.gguf Q5_K_S 6.48GB โœ… Available โšช Static ๐Ÿ“ฆ No
shieldgemma-9b.Q4_K.gguf Q4_K 5.76GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ No
shieldgemma-9b.Q4_K_S.gguf Q4_K_S 5.48GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ No
shieldgemma-9b.IQ4_NL.gguf IQ4_NL 5.44GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ No
shieldgemma-9b.IQ4_XS.gguf IQ4_XS 5.18GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ No
shieldgemma-9b.Q3_K.gguf Q3_K 4.76GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ No
shieldgemma-9b.Q3_K_L.gguf Q3_K_L 5.13GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ No
shieldgemma-9b.Q3_K_S.gguf Q3_K_S 4.34GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ No
shieldgemma-9b.IQ3_M.gguf IQ3_M 4.49GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ No
shieldgemma-9b.IQ3_S.gguf IQ3_S 4.34GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ No
shieldgemma-9b.IQ3_XS.gguf IQ3_XS 4.14GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ No
shieldgemma-9b.IQ3_XXS.gguf IQ3_XXS 3.80GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ No
shieldgemma-9b.Q2_K.gguf Q2_K 3.81GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ No
shieldgemma-9b.Q2_K_S.gguf Q2_K_S 3.55GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ No
shieldgemma-9b.IQ2_M.gguf IQ2_M 3.43GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ No
shieldgemma-9b.IQ2_S.gguf IQ2_S 3.21GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ No
shieldgemma-9b.IQ2_XS.gguf IQ2_XS 3.07GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ No
shieldgemma-9b.IQ2_XXS.gguf IQ2_XXS 2.82GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ No
shieldgemma-9b.IQ1_M.gguf IQ1_M 2.55GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ No
shieldgemma-9b.IQ1_S.gguf IQ1_S 2.38GB โœ… Available ๐ŸŸข IMatrix ๐Ÿ“ฆ 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/shieldgemma-9b-IMat-GGUF --include "shieldgemma-9b.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/shieldgemma-9b-IMat-GGUF --include "shieldgemma-9b.Q8_0/*" --local-dir ./
# see FAQ for merging GGUF's

Inference
Simple chat template
<bos>You are a policy expert trying to help determine whether a user prompt is in violation of the defined safety policies.

<start_of_turn>
Human Question: {next_user_prompt}
<end_of_turn>

Our safety principle is defined in the below:

* {guideline}

===

Does the human question violate the above principle? Your answer must start with 'Yes' or 'No'. And then walk through step by step to be sure we answer correctly.

Llama.cpp
llama.cpp/main -m shieldgemma-9b.Q8_0.gguf --color -i -p "prompt here (according to the chat template)"

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: shieldgemma-9b.Q8_0 )
  3. Run gguf-split --merge shieldgemma-9b.Q8_0/shieldgemma-9b.Q8_0-00001-of-XXXXX.gguf shieldgemma-9b.Q8_0.gguf
    • Make sure to point gguf-split to the first chunk of the split.

Got a suggestion? Ping me @legraphista !

Runs of legraphista shieldgemma-9b-IMat-GGUF on huggingface.co

459
Total runs
0
24-hour runs
0
3-day runs
22
7-day runs
312
30-day runs

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shieldgemma-9b-IMat-GGUF huggingface.co is an AI model on huggingface.co that provides shieldgemma-9b-IMat-GGUF's model effect (), which can be used instantly with this legraphista shieldgemma-9b-IMat-GGUF model. huggingface.co supports a free trial of the shieldgemma-9b-IMat-GGUF model, and also provides paid use of the shieldgemma-9b-IMat-GGUF. Support call shieldgemma-9b-IMat-GGUF model through api, including Node.js, Python, http.

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shieldgemma-9b-IMat-GGUF install

shieldgemma-9b-IMat-GGUF is an open source model from GitHub that offers a free installation service, and any user can find shieldgemma-9b-IMat-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of shieldgemma-9b-IMat-GGUF install, users can directly use shieldgemma-9b-IMat-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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