metadata

base_model: google/datagemma-rag-27b-it
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:
  - conversational
  - quantized
  - GGUF
  - quantization
  - imat
  - imatrix
  - static
  - 8bit
  - 6bit
  - 5bit
  - 4bit
  - 3bit
  - 2bit
  - 1bit

datagemma-rag-27b-it-IMat-GGUF

Llama.cpp imatrix quantization of google/datagemma-rag-27b-it

Original Model: google/datagemma-rag-27b-it
Original dtype: BF16 (bfloat16)
Quantized by: llama.cpp b3735
IMatrix dataset: here

Files
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?

Files

IMatrix

Status: ✅ Available
Link: here

Common Quants

Filename	Quant type	File Size	Status	Uses IMatrix	Is Split
datagemma-rag-27b-it.Q8_0.gguf	Q8_0	28.94GB	✅ Available	⚪ Static	📦 No
datagemma-rag-27b-it.Q6_K.gguf	Q6_K	22.34GB	✅ Available	⚪ Static	📦 No
datagemma-rag-27b-it.Q4_K.gguf	Q4_K	16.65GB	✅ Available	🟢 IMatrix	📦 No
datagemma-rag-27b-it.Q3_K.gguf	Q3_K	13.42GB	✅ Available	🟢 IMatrix	📦 No
datagemma-rag-27b-it.Q2_K.gguf	Q2_K	10.45GB	✅ Available	🟢 IMatrix	📦 No

All Quants

Filename	Quant type	File Size	Status	Uses IMatrix	Is Split
datagemma-rag-27b-it.Q8_0.gguf	Q8_0	28.94GB	✅ Available	⚪ Static	📦 No
datagemma-rag-27b-it.Q6_K.gguf	Q6_K	22.34GB	✅ Available	⚪ Static	📦 No
datagemma-rag-27b-it.Q5_K.gguf	Q5_K	19.41GB	✅ Available	⚪ Static	📦 No
datagemma-rag-27b-it.Q5_K_S.gguf	Q5_K_S	18.88GB	✅ Available	⚪ Static	📦 No
datagemma-rag-27b-it.Q4_K.gguf	Q4_K	16.65GB	✅ Available	🟢 IMatrix	📦 No
datagemma-rag-27b-it.Q4_K_S.gguf	Q4_K_S	15.74GB	✅ Available	🟢 IMatrix	📦 No
datagemma-rag-27b-it.IQ4_NL.gguf	IQ4_NL	15.63GB	✅ Available	🟢 IMatrix	📦 No
datagemma-rag-27b-it.IQ4_XS.gguf	IQ4_XS	14.81GB	✅ Available	🟢 IMatrix	📦 No
datagemma-rag-27b-it.Q3_K.gguf	Q3_K	13.42GB	✅ Available	🟢 IMatrix	📦 No
datagemma-rag-27b-it.Q3_K_L.gguf	Q3_K_L	14.52GB	✅ Available	🟢 IMatrix	📦 No
datagemma-rag-27b-it.Q3_K_S.gguf	Q3_K_S	12.17GB	✅ Available	🟢 IMatrix	📦 No
datagemma-rag-27b-it.IQ3_M.gguf	IQ3_M	12.45GB	✅ Available	🟢 IMatrix	📦 No
datagemma-rag-27b-it.IQ3_S.gguf	IQ3_S	12.17GB	✅ Available	🟢 IMatrix	📦 No
datagemma-rag-27b-it.IQ3_XS.gguf	IQ3_XS	11.55GB	✅ Available	🟢 IMatrix	📦 No
datagemma-rag-27b-it.IQ3_XXS.gguf	IQ3_XXS	10.75GB	✅ Available	🟢 IMatrix	📦 No
datagemma-rag-27b-it.Q2_K.gguf	Q2_K	10.45GB	✅ Available	🟢 IMatrix	📦 No
datagemma-rag-27b-it.Q2_K_S.gguf	Q2_K_S	9.72GB	✅ Available	🟢 IMatrix	📦 No
datagemma-rag-27b-it.IQ2_M.gguf	IQ2_M	9.40GB	✅ Available	🟢 IMatrix	📦 No
datagemma-rag-27b-it.IQ2_S	IQ2_S	-	⏳ Processing	🟢 IMatrix	-
datagemma-rag-27b-it.IQ2_XS	IQ2_XS	-	⏳ Processing	🟢 IMatrix	-
datagemma-rag-27b-it.IQ2_XXS	IQ2_XXS	-	⏳ Processing	🟢 IMatrix	-
datagemma-rag-27b-it.IQ1_M	IQ1_M	-	⏳ Processing	🟢 IMatrix	-
datagemma-rag-27b-it.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/datagemma-rag-27b-it-IMat-GGUF --include "datagemma-rag-27b-it.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/datagemma-rag-27b-it-IMat-GGUF --include "datagemma-rag-27b-it.Q8_0/*" --local-dir ./
# see FAQ for merging GGUF's

Inference

Simple chat template

<bos><start_of_turn>user
{user_prompt}<end_of_turn>
<start_of_turn>model
{assistant_response}<end_of_turn>
<start_of_turn>user
{next_user_prompt}<end_of_turn>

Llama.cpp

llama.cpp/main -m datagemma-rag-27b-it.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?

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
Locate your GGUF chunks folder (ex: datagemma-rag-27b-it.Q8_0)
Run gguf-split --merge datagemma-rag-27b-it.Q8_0/datagemma-rag-27b-it.Q8_0-00001-of-XXXXX.gguf datagemma-rag-27b-it.Q8_0.gguf
- Make sure to point gguf-split to the first chunk of the split.

Got a suggestion? Ping me @legraphista!