Llama-Guard-3-1B-IMat-GGUF

Llama.cpp imatrix quantization of meta-llama/Llama-Guard-3-1B

Original Model: meta-llama/Llama-Guard-3-1B
Original dtype: BF16 (bfloat16)
Quantized by: llama.cpp b3825
IMatrix dataset: here

• Files
  • IMatrix
  • Common Quants
  • All Quants
• Downloading using huggingface-cli
• Inference
  • Simple chat template
  • Llama.cpp
• FAQ
  • Why is the IMatrix not applied everywhere?
  • How do I merge a split GGUF?

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Files

IMatrix

Status: ✅ Available
Link: here

Common Quants

Filename	Quant type	File Size	Status	Uses IMatrix	Is Split
Llama-Guard-3-1B.Q8_0.gguf	Q8_0	1.60GB	✅ Available	⚪ Static	📦 No
Llama-Guard-3-1B.Q6_K.gguf	Q6_K	1.24GB	✅ Available	⚪ Static	📦 No
Llama-Guard-3-1B.Q4_K.gguf	Q4_K	955.44MB	✅ Available	🟢 IMatrix	📦 No
Llama-Guard-3-1B.Q3_K.gguf	Q3_K	803.71MB	✅ Available	🟢 IMatrix	📦 No
Llama-Guard-3-1B.Q2_K.gguf	Q2_K	667.06MB	✅ Available	🟢 IMatrix	📦 No

All Quants

Filename	Quant type	File Size	Status	Uses IMatrix	Is Split
Llama-Guard-3-1B.BF16.gguf	BF16	3.00GB	✅ Available	⚪ Static	📦 No
Llama-Guard-3-1B.FP16.gguf	F16	3.00GB	✅ Available	⚪ Static	📦 No
Llama-Guard-3-1B.Q8_0.gguf	Q8_0	1.60GB	✅ Available	⚪ Static	📦 No
Llama-Guard-3-1B.Q6_K.gguf	Q6_K	1.24GB	✅ Available	⚪ Static	📦 No
Llama-Guard-3-1B.Q5_K.gguf	Q5_K	1.09GB	✅ Available	⚪ Static	📦 No
Llama-Guard-3-1B.Q5_K_S.gguf	Q5_K_S	1.07GB	✅ Available	⚪ Static	📦 No
Llama-Guard-3-1B.Q4_K.gguf	Q4_K	955.44MB	✅ Available	🟢 IMatrix	📦 No
Llama-Guard-3-1B.Q4_K_S.gguf	Q4_K_S	923.40MB	✅ Available	🟢 IMatrix	📦 No
Llama-Guard-3-1B.IQ4_NL.gguf	IQ4_NL	920.78MB	✅ Available	🟢 IMatrix	📦 No
Llama-Guard-3-1B.IQ4_XS.gguf	IQ4_XS	882.68MB	✅ Available	🟢 IMatrix	📦 No
Llama-Guard-3-1B.Q3_K.gguf	Q3_K	803.71MB	✅ Available	🟢 IMatrix	📦 No
Llama-Guard-3-1B.Q3_K_L.gguf	Q3_K_L	845.39MB	✅ Available	🟢 IMatrix	📦 No
Llama-Guard-3-1B.Q3_K_S.gguf	Q3_K_S	754.56MB	✅ Available	🟢 IMatrix	📦 No
Llama-Guard-3-1B.IQ3_M.gguf	IQ3_M	770.15MB	✅ Available	🟢 IMatrix	📦 No
Llama-Guard-3-1B.IQ3_S.gguf	IQ3_S	756.78MB	✅ Available	🟢 IMatrix	📦 No
Llama-Guard-3-1B.IQ3_XS.gguf	IQ3_XS	733.98MB	✅ Available	🟢 IMatrix	📦 No
Llama-Guard-3-1B.IQ3_XXS.gguf	IQ3_XXS	674.97MB	✅ Available	🟢 IMatrix	📦 No
Llama-Guard-3-1B.Q2_K.gguf	Q2_K	667.06MB	✅ Available	🟢 IMatrix	📦 No
Llama-Guard-3-1B.Q2_K_S.gguf	Q2_K_S	640.85MB	✅ Available	🟢 IMatrix	📦 No
Llama-Guard-3-1B.IQ2_M.gguf	IQ2_M	628.31MB	✅ Available	🟢 IMatrix	📦 No
Llama-Guard-3-1B.IQ2_S.gguf	IQ2_S	601.57MB	✅ Available	🟢 IMatrix	📦 No
Llama-Guard-3-1B.IQ2_XS.gguf	IQ2_XS	562.05MB	✅ Available	🟢 IMatrix	📦 No
Llama-Guard-3-1B.IQ2_XXS.gguf	IQ2_XXS	533.22MB	✅ Available	🟢 IMatrix	📦 No
Llama-Guard-3-1B.IQ1_M.gguf	IQ1_M	499.79MB	✅ Available	🟢 IMatrix	📦 No
Llama-Guard-3-1B.IQ1_S.gguf	IQ1_S	479.74MB	✅ Available	🟢 IMatrix	📦 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-Guard-3-1B-IMat-GGUF --include "Llama-Guard-3-1B.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-Guard-3-1B-IMat-GGUF --include "Llama-Guard-3-1B.Q8_0/*" --local-dir ./
# see FAQ for merging GGUF's

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Inference

Simple chat template

<|begin_of_text|><|start_header_id|>user<|end_header_id|>

Task: Check if there is unsafe content in 'User' messages in conversations according our safety policy with the below categories.

<BEGIN UNSAFE CONTENT CATEGORIES>
S1: Violent Crimes.
S2: Non-Violent Crimes.
S3: Sex Crimes.
S4: Child Exploitation.
S5: Defamation.
S6: Specialized Advice.
S7: Privacy.
S8: Intellectual Property.
S9: Indiscriminate Weapons.
S10: Hate.
S11: Self-Harm.
S12: Sexual Content.
S13: Elections.
<END UNSAFE CONTENT CATEGORIES>

<BEGIN CONVERSATION>

<END CONVERSATION>

Provide your safety assessment for ONLY THE LAST User message in the above conversation:
 - First line must read 'safe' or 'unsafe'.
 - If unsafe, a second line must include a comma-separated list of violated categories. <|eot_id|><|start_header_id|>assistant<|end_header_id|>

Llama.cpp

llama.cpp/main -m Llama-Guard-3-1B.Q8_0.gguf --color -i -p "prompt here (according to the chat template)"

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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
   • To get hold of gguf-split, navigate to https://github.com/ggerganov/llama.cpp/releases
   • Download the appropriate zip for your system from the latest release
   • Unzip the archive and you should be able to find gguf-split
2. Locate your GGUF chunks folder (ex: Llama-Guard-3-1B.Q8_0)
3. Run gguf-split --merge Llama-Guard-3-1B.Q8_0/Llama-Guard-3-1B.Q8_0-00001-of-XXXXX.gguf Llama-Guard-3-1B.Q8_0.gguf
   • Make sure to point gguf-split to the first chunk of the split.

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