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Model: legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF Source: Original Platform
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README.md
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---
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base_model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
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datasets:
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- openbmb/UltraFeedback
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inference: false
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language:
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- en
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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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- 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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# Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF
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_Llama.cpp imatrix quantization of UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3_
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Original Model: [UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3)
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Original dtype: `BF16` (`bfloat16`)
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Quantized by: llama.cpp [b3311](https://github.com/ggerganov/llama.cpp/releases/tag/b3311)
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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/Gemma-2-9B-It-SPPO-Iter3-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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| [Gemma-2-9B-It-SPPO-Iter3.Q8_0.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.Q8_0.gguf) | Q8_0 | 9.83GB | ✅ Available | ⚪ Static | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.Q6_K.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.Q6_K.gguf) | Q6_K | 7.59GB | ✅ Available | ⚪ Static | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.Q4_K.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.Q4_K.gguf) | Q4_K | 5.76GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.Q3_K.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.Q3_K.gguf) | Q3_K | 4.76GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.Q2_K.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.Q2_K.gguf) | Q2_K | 3.81GB | ✅ 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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| [Gemma-2-9B-It-SPPO-Iter3.BF16.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.BF16.gguf) | BF16 | 18.49GB | ✅ Available | ⚪ Static | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.FP16.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.FP16.gguf) | F16 | 18.49GB | ✅ Available | ⚪ Static | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.Q8_0.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.Q8_0.gguf) | Q8_0 | 9.83GB | ✅ Available | ⚪ Static | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.Q6_K.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.Q6_K.gguf) | Q6_K | 7.59GB | ✅ Available | ⚪ Static | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.Q5_K.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.Q5_K.gguf) | Q5_K | 6.65GB | ✅ Available | ⚪ Static | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.Q5_K_S.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.Q5_K_S.gguf) | Q5_K_S | 6.48GB | ✅ Available | ⚪ Static | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.Q4_K.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.Q4_K.gguf) | Q4_K | 5.76GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.Q4_K_S.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.Q4_K_S.gguf) | Q4_K_S | 5.48GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.IQ4_NL.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.IQ4_NL.gguf) | IQ4_NL | 5.44GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.IQ4_XS.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.IQ4_XS.gguf) | IQ4_XS | 5.18GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.Q3_K.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.Q3_K.gguf) | Q3_K | 4.76GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.Q3_K_L.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.Q3_K_L.gguf) | Q3_K_L | 5.13GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.Q3_K_S.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.Q3_K_S.gguf) | Q3_K_S | 4.34GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.IQ3_M.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.IQ3_M.gguf) | IQ3_M | 4.49GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.IQ3_S.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.IQ3_S.gguf) | IQ3_S | 4.34GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.IQ3_XS.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.IQ3_XS.gguf) | IQ3_XS | 4.14GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.IQ3_XXS.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.IQ3_XXS.gguf) | IQ3_XXS | 3.80GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.Q2_K.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.Q2_K.gguf) | Q2_K | 3.81GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.Q2_K_S.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.Q2_K_S.gguf) | Q2_K_S | 3.55GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.IQ2_M.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.IQ2_M.gguf) | IQ2_M | 3.43GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.IQ2_S.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.IQ2_S.gguf) | IQ2_S | 3.21GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.IQ2_XS.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.IQ2_XS.gguf) | IQ2_XS | 3.07GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.IQ2_XXS.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.IQ2_XXS.gguf) | IQ2_XXS | 2.82GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.IQ1_M.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.IQ1_M.gguf) | IQ1_M | 2.55GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [Gemma-2-9B-It-SPPO-Iter3.IQ1_S.gguf](https://huggingface.co/legraphista/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF/blob/main/Gemma-2-9B-It-SPPO-Iter3.IQ1_S.gguf) | IQ1_S | 2.38GB | ✅ Available | 🟢 IMatrix | 📦 No
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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/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF --include "Gemma-2-9B-It-SPPO-Iter3.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/Gemma-2-9B-It-SPPO-Iter3-IMat-GGUF --include "Gemma-2-9B-It-SPPO-Iter3.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 Gemma-2-9B-It-SPPO-Iter3.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: `Gemma-2-9B-It-SPPO-Iter3.Q8_0`)
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3. Run `gguf-split --merge Gemma-2-9B-It-SPPO-Iter3.Q8_0/Gemma-2-9B-It-SPPO-Iter3.Q8_0-00001-of-XXXXX.gguf Gemma-2-9B-It-SPPO-Iter3.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)!
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