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--- |
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base_model: google/datagemma-rig-27b-it |
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extra_gated_button_content: Acknowledge license |
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extra_gated_heading: Access Gemma on Hugging Face |
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extra_gated_prompt: "To access Gemma on Hugging Face, you\u2019re required to review\ |
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\ and agree to Google\u2019s usage license. To do this, please ensure you\u2019\ |
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re logged in to Hugging Face and click below. Requests are processed immediately." |
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inference: false |
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library_name: gguf |
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license: gemma |
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pipeline_tag: text-generation |
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quantized_by: legraphista |
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tags: |
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- conversational |
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- quantized |
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- GGUF |
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- quantization |
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- imat |
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- imatrix |
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- static |
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- 16bit |
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- 8bit |
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- 6bit |
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- 5bit |
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- 4bit |
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- 3bit |
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- 2bit |
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- 1bit |
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--- |
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# datagemma-rig-27b-it-IMat-GGUF |
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_Llama.cpp imatrix quantization of google/datagemma-rig-27b-it_ |
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Original Model: [google/datagemma-rig-27b-it](https://huggingface.co/google/datagemma-rig-27b-it) |
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Original dtype: `BF16` (`bfloat16`) |
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Quantized by: llama.cpp [b3750](https://github.com/ggerganov/llama.cpp/releases/tag/b3750) |
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IMatrix dataset: [here](https://gist.githubusercontent.com/bartowski1182/eb213dccb3571f863da82e99418f81e8/raw/b2869d80f5c16fd7082594248e80144677736635/calibration_datav3.txt) |
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- [Files](#files) |
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- [IMatrix](#imatrix) |
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- [Common Quants](#common-quants) |
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- [All Quants](#all-quants) |
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- [Downloading using huggingface-cli](#downloading-using-huggingface-cli) |
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- [Inference](#inference) |
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- [Simple chat template](#simple-chat-template) |
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- [Llama.cpp](#llama-cpp) |
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- [FAQ](#faq) |
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- [Why is the IMatrix not applied everywhere?](#why-is-the-imatrix-not-applied-everywhere) |
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- [How do I merge a split GGUF?](#how-do-i-merge-a-split-gguf) |
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--- |
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## Files |
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### IMatrix |
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Status: ✅ Available |
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Link: [here](https://huggingface.co/legraphista/datagemma-rig-27b-it-IMat-GGUF/blob/main/imatrix.dat) |
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### Common Quants |
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| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split | |
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| -------- | ---------- | --------- | ------ | ------------ | -------- | |
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| [datagemma-rig-27b-it.Q8_0.gguf](https://huggingface.co/legraphista/datagemma-rig-27b-it-IMat-GGUF/blob/main/datagemma-rig-27b-it.Q8_0.gguf) | Q8_0 | 28.94GB | ✅ Available | ⚪ Static | 📦 No |
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| [datagemma-rig-27b-it.Q6_K.gguf](https://huggingface.co/legraphista/datagemma-rig-27b-it-IMat-GGUF/blob/main/datagemma-rig-27b-it.Q6_K.gguf) | Q6_K | 22.34GB | ✅ Available | ⚪ Static | 📦 No |
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| [datagemma-rig-27b-it.Q4_K.gguf](https://huggingface.co/legraphista/datagemma-rig-27b-it-IMat-GGUF/blob/main/datagemma-rig-27b-it.Q4_K.gguf) | Q4_K | 16.65GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [datagemma-rig-27b-it.Q3_K.gguf](https://huggingface.co/legraphista/datagemma-rig-27b-it-IMat-GGUF/blob/main/datagemma-rig-27b-it.Q3_K.gguf) | Q3_K | 13.42GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [datagemma-rig-27b-it.Q2_K.gguf](https://huggingface.co/legraphista/datagemma-rig-27b-it-IMat-GGUF/blob/main/datagemma-rig-27b-it.Q2_K.gguf) | Q2_K | 10.45GB | ✅ Available | 🟢 IMatrix | 📦 No |
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### All Quants |
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| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split | |
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| -------- | ---------- | --------- | ------ | ------------ | -------- | |
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| [datagemma-rig-27b-it.BF16/*](https://huggingface.co/legraphista/datagemma-rig-27b-it-IMat-GGUF/tree/main/datagemma-rig-27b-it.BF16) | BF16 | 54.46GB | ✅ Available | ⚪ Static | ✂ Yes |
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| [datagemma-rig-27b-it.FP16/*](https://huggingface.co/legraphista/datagemma-rig-27b-it-IMat-GGUF/tree/main/datagemma-rig-27b-it.FP16) | F16 | 54.46GB | ✅ Available | ⚪ Static | ✂ Yes |
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| [datagemma-rig-27b-it.Q8_0.gguf](https://huggingface.co/legraphista/datagemma-rig-27b-it-IMat-GGUF/blob/main/datagemma-rig-27b-it.Q8_0.gguf) | Q8_0 | 28.94GB | ✅ Available | ⚪ Static | 📦 No |
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| [datagemma-rig-27b-it.Q6_K.gguf](https://huggingface.co/legraphista/datagemma-rig-27b-it-IMat-GGUF/blob/main/datagemma-rig-27b-it.Q6_K.gguf) | Q6_K | 22.34GB | ✅ Available | ⚪ Static | 📦 No |
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| [datagemma-rig-27b-it.Q5_K.gguf](https://huggingface.co/legraphista/datagemma-rig-27b-it-IMat-GGUF/blob/main/datagemma-rig-27b-it.Q5_K.gguf) | Q5_K | 19.41GB | ✅ Available | ⚪ Static | 📦 No |
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| [datagemma-rig-27b-it.Q5_K_S.gguf](https://huggingface.co/legraphista/datagemma-rig-27b-it-IMat-GGUF/blob/main/datagemma-rig-27b-it.Q5_K_S.gguf) | Q5_K_S | 18.88GB | ✅ Available | ⚪ Static | 📦 No |
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| [datagemma-rig-27b-it.Q4_K.gguf](https://huggingface.co/legraphista/datagemma-rig-27b-it-IMat-GGUF/blob/main/datagemma-rig-27b-it.Q4_K.gguf) | Q4_K | 16.65GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [datagemma-rig-27b-it.Q4_K_S.gguf](https://huggingface.co/legraphista/datagemma-rig-27b-it-IMat-GGUF/blob/main/datagemma-rig-27b-it.Q4_K_S.gguf) | Q4_K_S | 15.74GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| datagemma-rig-27b-it.IQ4_NL | IQ4_NL | - | ⏳ Processing | 🟢 IMatrix | - |
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| datagemma-rig-27b-it.IQ4_XS | IQ4_XS | - | ⏳ Processing | 🟢 IMatrix | - |
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| [datagemma-rig-27b-it.Q3_K.gguf](https://huggingface.co/legraphista/datagemma-rig-27b-it-IMat-GGUF/blob/main/datagemma-rig-27b-it.Q3_K.gguf) | Q3_K | 13.42GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [datagemma-rig-27b-it.Q3_K_L.gguf](https://huggingface.co/legraphista/datagemma-rig-27b-it-IMat-GGUF/blob/main/datagemma-rig-27b-it.Q3_K_L.gguf) | Q3_K_L | 14.52GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [datagemma-rig-27b-it.Q3_K_S.gguf](https://huggingface.co/legraphista/datagemma-rig-27b-it-IMat-GGUF/blob/main/datagemma-rig-27b-it.Q3_K_S.gguf) | Q3_K_S | 12.17GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [datagemma-rig-27b-it.IQ3_M.gguf](https://huggingface.co/legraphista/datagemma-rig-27b-it-IMat-GGUF/blob/main/datagemma-rig-27b-it.IQ3_M.gguf) | IQ3_M | 12.45GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| datagemma-rig-27b-it.IQ3_S | IQ3_S | - | ⏳ Processing | 🟢 IMatrix | - |
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| datagemma-rig-27b-it.IQ3_XS | IQ3_XS | - | ⏳ Processing | 🟢 IMatrix | - |
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| datagemma-rig-27b-it.IQ3_XXS | IQ3_XXS | - | ⏳ Processing | 🟢 IMatrix | - |
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| [datagemma-rig-27b-it.Q2_K.gguf](https://huggingface.co/legraphista/datagemma-rig-27b-it-IMat-GGUF/blob/main/datagemma-rig-27b-it.Q2_K.gguf) | Q2_K | 10.45GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [datagemma-rig-27b-it.Q2_K_S.gguf](https://huggingface.co/legraphista/datagemma-rig-27b-it-IMat-GGUF/blob/main/datagemma-rig-27b-it.Q2_K_S.gguf) | Q2_K_S | 9.72GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| datagemma-rig-27b-it.IQ2_M | IQ2_M | - | ⏳ Processing | 🟢 IMatrix | - |
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| datagemma-rig-27b-it.IQ2_S | IQ2_S | - | ⏳ Processing | 🟢 IMatrix | - |
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| datagemma-rig-27b-it.IQ2_XS | IQ2_XS | - | ⏳ Processing | 🟢 IMatrix | - |
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| datagemma-rig-27b-it.IQ2_XXS | IQ2_XXS | - | ⏳ Processing | 🟢 IMatrix | - |
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| datagemma-rig-27b-it.IQ1_M | IQ1_M | - | ⏳ Processing | 🟢 IMatrix | - |
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| datagemma-rig-27b-it.IQ1_S | IQ1_S | - | ⏳ Processing | 🟢 IMatrix | - |
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## Downloading using huggingface-cli |
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If you do not have hugginface-cli installed: |
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``` |
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pip install -U "huggingface_hub[cli]" |
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``` |
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Download the specific file you want: |
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``` |
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huggingface-cli download legraphista/datagemma-rig-27b-it-IMat-GGUF --include "datagemma-rig-27b-it.Q8_0.gguf" --local-dir ./ |
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``` |
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If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run: |
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``` |
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huggingface-cli download legraphista/datagemma-rig-27b-it-IMat-GGUF --include "datagemma-rig-27b-it.Q8_0/*" --local-dir ./ |
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# see FAQ for merging GGUF's |
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``` |
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--- |
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## Inference |
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### Simple chat template |
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``` |
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<bos><start_of_turn>user |
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{user_prompt}<end_of_turn> |
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<start_of_turn>model |
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{assistant_response}<end_of_turn> |
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<start_of_turn>user |
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{next_user_prompt}<end_of_turn> |
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``` |
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### Llama.cpp |
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``` |
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llama.cpp/main -m datagemma-rig-27b-it.Q8_0.gguf --color -i -p "prompt here (according to the chat template)" |
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``` |
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--- |
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## FAQ |
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### Why is the IMatrix not applied everywhere? |
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According to [this investigation](https://www.reddit.com/r/LocalLLaMA/comments/1993iro/ggufs_quants_can_punch_above_their_weights_now/), it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results). |
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### How do I merge a split GGUF? |
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1. Make sure you have `gguf-split` available |
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- To get hold of `gguf-split`, navigate to https://github.com/ggerganov/llama.cpp/releases |
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- Download the appropriate zip for your system from the latest release |
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- Unzip the archive and you should be able to find `gguf-split` |
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2. Locate your GGUF chunks folder (ex: `datagemma-rig-27b-it.Q8_0`) |
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3. Run `gguf-split --merge datagemma-rig-27b-it.Q8_0/datagemma-rig-27b-it.Q8_0-00001-of-XXXXX.gguf datagemma-rig-27b-it.Q8_0.gguf` |
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- Make sure to point `gguf-split` to the first chunk of the split. |
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--- |
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Got a suggestion? Ping me [@legraphista](https://x.com/legraphista)! |
