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

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GGUF
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Phi-3-mini-4k-instruct-IMat-GGUF / README.md
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metadata
base_model: microsoft/Phi-3-mini-4k-instruct
inference: false
language:
  - en
library_name: gguf
license: mit
license_link: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE
pipeline_tag: text-generation
quantized_by: legraphista
tags:
  - quantized
  - GGUF
  - imatrix
  - quantization
  - imat
  - imatrix
  - static

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: ✅ 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 ✅ Available ⚪ No 📦 No
Phi-3-mini-4k-instruct.Q6_K.gguf Q6_K 3.14GB ✅ Available ⚪ No 📦 No
Phi-3-mini-4k-instruct.Q4_K.gguf Q4_K 2.39GB ✅ Available 🟢 Yes 📦 No
Phi-3-mini-4k-instruct.Q3_K.gguf Q3_K 1.96GB ✅ Available 🟢 Yes 📦 No
Phi-3-mini-4k-instruct.Q2_K.gguf Q2_K 1.42GB ✅ Available 🟢 Yes 📦 No

All Quants

Filename Quant type File Size Status Uses IMatrix Is Split
Phi-3-mini-4k-instruct.FP16.gguf F16 7.64GB ✅ Available ⚪ No 📦 No
Phi-3-mini-4k-instruct.BF16.gguf BF16 7.64GB ✅ Available ⚪ No 📦 No
Phi-3-mini-4k-instruct.Q5_K.gguf Q5_K 2.82GB ✅ Available ⚪ No 📦 No
Phi-3-mini-4k-instruct.Q5_K_S.gguf Q5_K_S 2.64GB ✅ Available ⚪ No 📦 No
Phi-3-mini-4k-instruct.Q4_K_S.gguf Q4_K_S 2.19GB ✅ Available 🟢 Yes 📦 No
Phi-3-mini-4k-instruct.Q3_K_L.gguf Q3_K_L 2.09GB ✅ Available 🟢 Yes 📦 No
Phi-3-mini-4k-instruct.Q3_K_S.gguf Q3_K_S 1.68GB ✅ Available 🟢 Yes 📦 No
Phi-3-mini-4k-instruct.Q2_K_S.gguf Q2_K_S 1.33GB ✅ Available 🟢 Yes 📦 No
Phi-3-mini-4k-instruct.IQ4_NL.gguf IQ4_NL 2.18GB ✅ Available 🟢 Yes 📦 No
Phi-3-mini-4k-instruct.IQ4_XS.gguf IQ4_XS 2.06GB ✅ Available 🟢 Yes 📦 No
Phi-3-mini-4k-instruct.IQ3_M.gguf IQ3_M 1.86GB ✅ Available 🟢 Yes 📦 No
Phi-3-mini-4k-instruct.IQ3_S.gguf IQ3_S 1.68GB ✅ Available 🟢 Yes 📦 No
Phi-3-mini-4k-instruct.IQ3_XS.gguf IQ3_XS 1.63GB ✅ Available 🟢 Yes 📦 No
Phi-3-mini-4k-instruct.IQ3_XXS.gguf IQ3_XXS 1.51GB ✅ Available 🟢 Yes 📦 No
Phi-3-mini-4k-instruct.IQ2_M.gguf IQ2_M 1.32GB ✅ Available 🟢 Yes 📦 No
Phi-3-mini-4k-instruct.IQ2_S.gguf IQ2_S 1.22GB ✅ Available 🟢 Yes 📦 No
Phi-3-mini-4k-instruct.IQ2_XS.gguf IQ2_XS 1.15GB ✅ Available 🟢 Yes 📦 No
Phi-3-mini-4k-instruct.IQ2_XXS.gguf IQ2_XXS 1.04GB ✅ Available 🟢 Yes 📦 No
Phi-3-mini-4k-instruct.IQ1_M.gguf IQ1_M 917.11MB ✅ Available 🟢 Yes 📦 No
Phi-3-mini-4k-instruct.IQ1_S.gguf IQ1_S 841.61MB ✅ Available 🟢 Yes 📦 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 

<|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!