File size: 9,371 Bytes
665f5b3 a029a72 665f5b3 7a69000 00342ab 7488177 eb4bea6 a57a12f 665f5b3 1f34714 5e60af7 7a69000 00342ab 8565e6a bddb287 7488177 96fbde7 6d75214 dcb4bb6 eb4bea6 6e1f1ff 1fc2b49 2958961 8767bec 70d88a8 c7e9499 a57a12f b854434 29d261d 665f5b3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 |
---
base_model: OpenLLM-Ro/RoGemma-7b-Instruct
inference: false
language:
- ro
library_name: gguf
license: cc-by-nc-4.0
pipeline_tag: text-generation
quantized_by: legraphista
tags:
- quantized
- GGUF
- quantization
- imat
- imatrix
- static
- 16bit
- 8bit
- 6bit
- 5bit
- 4bit
- 3bit
- 2bit
- 1bit
---
# RoGemma-7b-Instruct-IMat-GGUF
_Llama.cpp imatrix quantization of OpenLLM-Ro/RoGemma-7b-Instruct_
Original Model: [OpenLLM-Ro/RoGemma-7b-Instruct](https://huggingface.co/OpenLLM-Ro/RoGemma-7b-Instruct)
Original dtype: `BF16` (`bfloat16`)
Quantized by: llama.cpp [b3246](https://github.com/ggerganov/llama.cpp/releases/tag/b3246)
IMatrix dataset: [here](https://gist.githubusercontent.com/bartowski1182/eb213dccb3571f863da82e99418f81e8/raw/b2869d80f5c16fd7082594248e80144677736635/calibration_datav3.txt)
- [Files](#files)
- [IMatrix](#imatrix)
- [Common Quants](#common-quants)
- [All Quants](#all-quants)
- [Downloading using huggingface-cli](#downloading-using-huggingface-cli)
- [Inference](#inference)
- [Simple chat template](#simple-chat-template)
- [Chat template with system prompt](#chat-template-with-system-prompt)
- [Llama.cpp](#llama-cpp)
- [FAQ](#faq)
- [Why is the IMatrix not applied everywhere?](#why-is-the-imatrix-not-applied-everywhere)
- [How do I merge a split GGUF?](#how-do-i-merge-a-split-gguf)
---
## Files
### IMatrix
Status: ✅ Available
Link: [here](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/imatrix.dat)
### Common Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [RoGemma-7b-Instruct.Q8_0.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.Q8_0.gguf) | Q8_0 | 9.08GB | ✅ Available | ⚪ Static | 📦 No
| [RoGemma-7b-Instruct.Q6_K.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.Q6_K.gguf) | Q6_K | 7.01GB | ✅ Available | ⚪ Static | 📦 No
| [RoGemma-7b-Instruct.Q4_K.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.Q4_K.gguf) | Q4_K | 5.33GB | ✅ Available | 🟢 IMatrix | 📦 No
| [RoGemma-7b-Instruct.Q3_K.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.Q3_K.gguf) | Q3_K | 4.37GB | ✅ Available | 🟢 IMatrix | 📦 No
| [RoGemma-7b-Instruct.Q2_K.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.Q2_K.gguf) | Q2_K | 3.48GB | ✅ Available | 🟢 IMatrix | 📦 No
### All Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [RoGemma-7b-Instruct.BF16.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.BF16.gguf) | BF16 | 17.08GB | ✅ Available | ⚪ Static | 📦 No
| [RoGemma-7b-Instruct.FP16.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.FP16.gguf) | F16 | 17.08GB | ✅ Available | ⚪ Static | 📦 No
| [RoGemma-7b-Instruct.Q8_0.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.Q8_0.gguf) | Q8_0 | 9.08GB | ✅ Available | ⚪ Static | 📦 No
| [RoGemma-7b-Instruct.Q6_K.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.Q6_K.gguf) | Q6_K | 7.01GB | ✅ Available | ⚪ Static | 📦 No
| [RoGemma-7b-Instruct.Q5_K.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.Q5_K.gguf) | Q5_K | 6.14GB | ✅ Available | ⚪ Static | 📦 No
| [RoGemma-7b-Instruct.Q5_K_S.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.Q5_K_S.gguf) | Q5_K_S | 5.98GB | ✅ Available | ⚪ Static | 📦 No
| [RoGemma-7b-Instruct.Q4_K.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.Q4_K.gguf) | Q4_K | 5.33GB | ✅ Available | 🟢 IMatrix | 📦 No
| [RoGemma-7b-Instruct.Q4_K_S.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.Q4_K_S.gguf) | Q4_K_S | 5.05GB | ✅ Available | 🟢 IMatrix | 📦 No
| [RoGemma-7b-Instruct.IQ4_NL.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.IQ4_NL.gguf) | IQ4_NL | 5.01GB | ✅ Available | 🟢 IMatrix | 📦 No
| [RoGemma-7b-Instruct.IQ4_XS.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.IQ4_XS.gguf) | IQ4_XS | 4.77GB | ✅ Available | 🟢 IMatrix | 📦 No
| [RoGemma-7b-Instruct.Q3_K.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.Q3_K.gguf) | Q3_K | 4.37GB | ✅ Available | 🟢 IMatrix | 📦 No
| [RoGemma-7b-Instruct.Q3_K_L.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.Q3_K_L.gguf) | Q3_K_L | 4.71GB | ✅ Available | 🟢 IMatrix | 📦 No
| [RoGemma-7b-Instruct.Q3_K_S.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.Q3_K_S.gguf) | Q3_K_S | 3.98GB | ✅ Available | 🟢 IMatrix | 📦 No
| [RoGemma-7b-Instruct.IQ3_M.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.IQ3_M.gguf) | IQ3_M | 4.11GB | ✅ Available | 🟢 IMatrix | 📦 No
| [RoGemma-7b-Instruct.IQ3_S.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.IQ3_S.gguf) | IQ3_S | 3.98GB | ✅ Available | 🟢 IMatrix | 📦 No
| [RoGemma-7b-Instruct.IQ3_XS.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.IQ3_XS.gguf) | IQ3_XS | 3.80GB | ✅ Available | 🟢 IMatrix | 📦 No
| [RoGemma-7b-Instruct.IQ3_XXS.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.IQ3_XXS.gguf) | IQ3_XXS | 3.49GB | ✅ Available | 🟢 IMatrix | 📦 No
| [RoGemma-7b-Instruct.Q2_K.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.Q2_K.gguf) | Q2_K | 3.48GB | ✅ Available | 🟢 IMatrix | 📦 No
| [RoGemma-7b-Instruct.Q2_K_S.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.Q2_K_S.gguf) | Q2_K_S | 3.25GB | ✅ Available | 🟢 IMatrix | 📦 No
| [RoGemma-7b-Instruct.IQ2_M.gguf](https://huggingface.co/legraphista/RoGemma-7b-Instruct-IMat-GGUF/blob/main/RoGemma-7b-Instruct.IQ2_M.gguf) | IQ2_M | 3.13GB | ✅ Available | 🟢 IMatrix | 📦 No
| RoGemma-7b-Instruct.IQ2_S | IQ2_S | - | ⏳ Processing | 🟢 IMatrix | -
| RoGemma-7b-Instruct.IQ2_XS | IQ2_XS | - | ⏳ Processing | 🟢 IMatrix | -
| RoGemma-7b-Instruct.IQ2_XXS | IQ2_XXS | - | ⏳ Processing | 🟢 IMatrix | -
| RoGemma-7b-Instruct.IQ1_M | IQ1_M | - | ⏳ Processing | 🟢 IMatrix | -
| RoGemma-7b-Instruct.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/RoGemma-7b-Instruct-IMat-GGUF --include "RoGemma-7b-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/RoGemma-7b-Instruct-IMat-GGUF --include "RoGemma-7b-Instruct.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>
<start_of_turn>model
```
### Chat template with system prompt
```
<bos>{system_prompt}<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>
<start_of_turn>model
```
### Llama.cpp
```
llama.cpp/main -m RoGemma-7b-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](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).
### How do I merge a split GGUF?
1. 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`
2. Locate your GGUF chunks folder (ex: `RoGemma-7b-Instruct.Q8_0`)
3. Run `gguf-split --merge RoGemma-7b-Instruct.Q8_0/RoGemma-7b-Instruct.Q8_0-00001-of-XXXXX.gguf RoGemma-7b-Instruct.Q8_0.gguf`
- Make sure to point `gguf-split` to the first chunk of the split.
---
Got a suggestion? Ping me [@legraphista](https://x.com/legraphista)! |