Phi-3-mini-4k-instruct-IMat-GGUF

Llama.cpp imatrix quantization of microsoft/Phi-3-mini-4k-instruct

Original Model: microsoft/Phi-3-mini-4k-instruct
Original dtype: BF16 (bfloat16)
Quantized by: llama.cpp b3001
IMatrix dataset: here


Files

IMatrix

Status: βœ… Available
Link: here

Common Quants

Filename Quant type File Size Status Uses IMatrix Is Split
Phi-3-mini-4k-instruct.Q8_0.gguf Q8_0 4.06GB βœ… Available βšͺ No πŸ“¦ No
Phi-3-mini-4k-instruct.Q6_K.gguf Q6_K 3.14GB βœ… Available βšͺ No πŸ“¦ No
Phi-3-mini-4k-instruct.Q4_K.gguf Q4_K 2.39GB βœ… Available 🟒 Yes πŸ“¦ No
Phi-3-mini-4k-instruct.Q3_K.gguf Q3_K 1.96GB βœ… Available 🟒 Yes πŸ“¦ No
Phi-3-mini-4k-instruct.Q2_K.gguf Q2_K 1.42GB βœ… Available 🟒 Yes πŸ“¦ No

All Quants

Filename Quant type File Size Status Uses IMatrix Is Split
Phi-3-mini-4k-instruct.FP16.gguf F16 7.64GB βœ… Available βšͺ No πŸ“¦ No
Phi-3-mini-4k-instruct.BF16.gguf BF16 7.64GB βœ… Available βšͺ No πŸ“¦ No
Phi-3-mini-4k-instruct.Q5_K.gguf Q5_K 2.82GB βœ… Available βšͺ No πŸ“¦ No
Phi-3-mini-4k-instruct.Q5_K_S.gguf Q5_K_S 2.64GB βœ… Available βšͺ No πŸ“¦ No
Phi-3-mini-4k-instruct.Q4_K_S.gguf Q4_K_S 2.19GB βœ… Available 🟒 Yes πŸ“¦ No
Phi-3-mini-4k-instruct.Q3_K_L.gguf Q3_K_L 2.09GB βœ… Available 🟒 Yes πŸ“¦ No
Phi-3-mini-4k-instruct.Q3_K_S.gguf Q3_K_S 1.68GB βœ… Available 🟒 Yes πŸ“¦ No
Phi-3-mini-4k-instruct.Q2_K_S.gguf Q2_K_S 1.33GB βœ… Available 🟒 Yes πŸ“¦ No
Phi-3-mini-4k-instruct.IQ4_NL.gguf IQ4_NL 2.18GB βœ… Available 🟒 Yes πŸ“¦ No
Phi-3-mini-4k-instruct.IQ4_XS.gguf IQ4_XS 2.06GB βœ… Available 🟒 Yes πŸ“¦ No
Phi-3-mini-4k-instruct.IQ3_M.gguf IQ3_M 1.86GB βœ… Available 🟒 Yes πŸ“¦ No
Phi-3-mini-4k-instruct.IQ3_S.gguf IQ3_S 1.68GB βœ… Available 🟒 Yes πŸ“¦ No
Phi-3-mini-4k-instruct.IQ3_XS.gguf IQ3_XS 1.63GB βœ… Available 🟒 Yes πŸ“¦ No
Phi-3-mini-4k-instruct.IQ3_XXS.gguf IQ3_XXS 1.51GB βœ… Available 🟒 Yes πŸ“¦ No
Phi-3-mini-4k-instruct.IQ2_M.gguf IQ2_M 1.32GB βœ… Available 🟒 Yes πŸ“¦ No
Phi-3-mini-4k-instruct.IQ2_S.gguf IQ2_S 1.22GB βœ… Available 🟒 Yes πŸ“¦ No
Phi-3-mini-4k-instruct.IQ2_XS.gguf IQ2_XS 1.15GB βœ… Available 🟒 Yes πŸ“¦ No
Phi-3-mini-4k-instruct.IQ2_XXS.gguf IQ2_XXS 1.04GB βœ… Available 🟒 Yes πŸ“¦ No
Phi-3-mini-4k-instruct.IQ1_M.gguf IQ1_M 917.11MB βœ… Available 🟒 Yes πŸ“¦ No
Phi-3-mini-4k-instruct.IQ1_S.gguf IQ1_S 841.61MB βœ… Available 🟒 Yes 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/Phi-3-mini-4k-instruct-IMat-GGUF --include "Phi-3-mini-4k-instruct.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/Phi-3-mini-4k-instruct-IMat-GGUF --include "Phi-3-mini-4k-instruct.Q8_0/*" --local-dir Phi-3-mini-4k-instruct.Q8_0
# see FAQ for merging GGUF's

Inference

Simple chat template

<s><|user|>
I am going to Paris, what should I see?<|end|>
<|assistant|>
Paris, the capital of France, is known for its stunning architecture, art museums, historical landmarks, and romantic atmosphere. Here are some of the top attractions to see in Paris:

1. The Eiffel Tower: The iconic Eiffel Tower is one of the most recognizable landmarks in the world and offers breathtaking views of the city.
2. The Louvre Museum: The Louvre is one of the world's largest and most famous museums, housing an impressive collection of art and artifacts, including the Mona Lisa.
3. Notre-Dame Cathedral: This beautiful cathedral is one of the most famous landmarks in Paris and is known for its Gothic architecture and stunning stained glass windows.

These are just a few of the many attractions that Paris has to offer. With so much to see and do, it's no wonder that Paris is one of the most popular tourist destinations in the world."<|end|>
<|user|>
What is so great about #1?<|end|>
<|assistant|>

Llama.cpp

llama.cpp/main -m Phi-3-mini-4k-instruct.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: Phi-3-mini-4k-instruct.Q8_0)
  3. Run gguf-split --merge Phi-3-mini-4k-instruct.Q8_0/Phi-3-mini-4k-instruct.Q8_0-00001-of-XXXXX.gguf Phi-3-mini-4k-instruct.Q8_0.gguf
    • Make sure to point gguf-split to the first chunk of the split.

Got a suggestion? Ping me @legraphista!

Downloads last month
423
GGUF
Model size
3.82B params
Architecture
phi3

1-bit

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

16-bit

Inference Examples
Inference API (serverless) has been turned off for this model.

Model tree for legraphista/Phi-3-mini-4k-instruct-IMat-GGUF

Quantized
(98)
this model

Collection including legraphista/Phi-3-mini-4k-instruct-IMat-GGUF