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metadata
base_model: google/gemma-2-2b
extra_gated_button_content: Acknowledge license
extra_gated_heading: Access Gemma on Hugging Face
extra_gated_prompt: >-
  To access Gemma on Hugging Face, you’re required to review and agree to
  Google’s usage license. To do this, please ensure you’re logged in to Hugging
  Face and click below. Requests are processed immediately.
inference: false
library_name: gguf
license: gemma
pipeline_tag: text-generation
quantized_by: legraphista
tags:
  - quantized
  - GGUF
  - quantization
  - imat
  - imatrix
  - static
  - 16bit
  - 8bit
  - 6bit
  - 5bit
  - 4bit
  - 3bit
  - 2bit
  - 1bit

gemma-2-2b-IMat-GGUF

Llama.cpp imatrix quantization of google/gemma-2-2b

Original Model: google/gemma-2-2b
Original dtype: FP32 (float32)
Quantized by: llama.cpp b3496
IMatrix dataset: here


Files

IMatrix

Status: ✅ Available
Link: here

Common Quants

Filename Quant type File Size Status Uses IMatrix Is Split
gemma-2-2b.Q8_0.gguf Q8_0 2.78GB ✅ Available ⚪ Static 📦 No
gemma-2-2b.Q6_K.gguf Q6_K 2.15GB ✅ Available ⚪ Static 📦 No
gemma-2-2b.Q4_K.gguf Q4_K 1.71GB ✅ Available 🟢 IMatrix 📦 No
gemma-2-2b.Q3_K.gguf Q3_K 1.46GB ✅ Available 🟢 IMatrix 📦 No
gemma-2-2b.Q2_K.gguf Q2_K 1.23GB ✅ Available 🟢 IMatrix 📦 No

All Quants

Filename Quant type File Size Status Uses IMatrix Is Split
gemma-2-2b.BF16.gguf BF16 5.24GB ✅ Available ⚪ Static 📦 No
gemma-2-2b.FP16.gguf F16 5.24GB ✅ Available ⚪ Static 📦 No
gemma-2-2b.Q8_0.gguf Q8_0 2.78GB ✅ Available ⚪ Static 📦 No
gemma-2-2b.Q6_K.gguf Q6_K 2.15GB ✅ Available ⚪ Static 📦 No
gemma-2-2b.Q5_K.gguf Q5_K 1.92GB ✅ Available ⚪ Static 📦 No
gemma-2-2b.Q5_K_S.gguf Q5_K_S 1.88GB ✅ Available ⚪ Static 📦 No
gemma-2-2b.Q4_K.gguf Q4_K 1.71GB ✅ Available 🟢 IMatrix 📦 No
gemma-2-2b.Q4_K_S.gguf Q4_K_S 1.64GB ✅ Available 🟢 IMatrix 📦 No
gemma-2-2b.IQ4_NL IQ4_NL - ⏳ Processing 🟢 IMatrix -
gemma-2-2b.IQ4_XS IQ4_XS - ⏳ Processing 🟢 IMatrix -
gemma-2-2b.Q3_K.gguf Q3_K 1.46GB ✅ Available 🟢 IMatrix 📦 No
gemma-2-2b.Q3_K_L Q3_K_L - ⏳ Processing 🟢 IMatrix -
gemma-2-2b.Q3_K_S Q3_K_S - ⏳ Processing 🟢 IMatrix -
gemma-2-2b.IQ3_M IQ3_M - ⏳ Processing 🟢 IMatrix -
gemma-2-2b.IQ3_S IQ3_S - ⏳ Processing 🟢 IMatrix -
gemma-2-2b.IQ3_XS IQ3_XS - ⏳ Processing 🟢 IMatrix -
gemma-2-2b.IQ3_XXS IQ3_XXS - ⏳ Processing 🟢 IMatrix -
gemma-2-2b.Q2_K.gguf Q2_K 1.23GB ✅ Available 🟢 IMatrix 📦 No
gemma-2-2b.Q2_K_S Q2_K_S - ⏳ Processing 🟢 IMatrix -
gemma-2-2b.IQ2_M IQ2_M - ⏳ Processing 🟢 IMatrix -
gemma-2-2b.IQ2_S IQ2_S - ⏳ Processing 🟢 IMatrix -
gemma-2-2b.IQ2_XS IQ2_XS - ⏳ Processing 🟢 IMatrix -
gemma-2-2b.IQ2_XXS IQ2_XXS - ⏳ Processing 🟢 IMatrix -
gemma-2-2b.IQ1_M IQ1_M - ⏳ Processing 🟢 IMatrix -
gemma-2-2b.IQ1_S IQ1_S - ⏳ Processing 🟢 IMatrix -

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/gemma-2-2b-IMat-GGUF --include "gemma-2-2b.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/gemma-2-2b-IMat-GGUF --include "gemma-2-2b.Q8_0/*" --local-dir ./
# see FAQ for merging GGUF's

Inference

Llama.cpp

llama.cpp/main -m gemma-2-2b.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: gemma-2-2b.Q8_0)
  3. Run gguf-split --merge gemma-2-2b.Q8_0/gemma-2-2b.Q8_0-00001-of-XXXXX.gguf gemma-2-2b.Q8_0.gguf
    • Make sure to point gguf-split to the first chunk of the split.

Got a suggestion? Ping me @legraphista!