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RoLlama2-7b-Instruct-IMat-GGUF/README.md
ModelHub XC 7a1d1dd298 初始化项目，由ModelHub XC社区提供模型 
Model: legraphista/RoLlama2-7b-Instruct-IMat-GGUF
Source: Original Platform
2026-07-25 12:14:10 +08:00

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---
base_model: OpenLLM-Ro/RoLlama2-7b-Instruct
inference: false
language:
- ro
library_name: gguf
license: cc-by-nc-4.0
pipeline_tag: text-generation
quantized_by: legraphista
tags:
- quantized
- GGUF
- imatrix
- quantization
---
# RoLlama2-7b-Instruct-IMat-GGUF
_Llama.cpp imatrix quantization of RoLlama2-7b-Instruct-IMat-GGUF_
Original Model: [OpenLLM-Ro/RoLlama2-7b-Instruct](https://huggingface.co/OpenLLM-Ro/RoLlama2-7b-Instruct)
Original dtype: `FP32` (`float32`)
Quantized by: llama.cpp [b2998](https://github.com/ggerganov/llama.cpp/releases/tag/b2998)
IMatrix dataset: [here](https://gist.githubusercontent.com/legraphista/d6d93f1a254bcfc58e0af3777eaec41e/raw/d380e7002cea4a51c33fffd47db851942754e7cc/imatrix.calibration.medium.raw)
## Files
### IMatrix
Status: ✅ Available
Link: [here](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/imatrix.dat)
### Common Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [RoLlama2-7b-Instruct.Q8_0.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.Q8_0.gguf) | Q8_0 | 7.16GB | ✅ Available | ⚪ No | 📦 No
| [RoLlama2-7b-Instruct.Q6_K.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.Q6_K.gguf) | Q6_K | 5.53GB | ✅ Available | ⚪ No | 📦 No
| [RoLlama2-7b-Instruct.Q4_K.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.Q4_K.gguf) | Q4_K | 4.08GB | ✅ Available | 🟢 Yes | 📦 No
| [RoLlama2-7b-Instruct.Q3_K.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.Q3_K.gguf) | Q3_K | 3.30GB | ✅ Available | 🟢 Yes | 📦 No
| [RoLlama2-7b-Instruct.Q2_K.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.Q2_K.gguf) | Q2_K | 2.53GB | ✅ Available | 🟢 Yes | 📦 No
### All Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [RoLlama2-7b-Instruct.FP16.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.FP16.gguf) | F16 | 13.48GB | ✅ Available | ⚪ No | 📦 No
| [RoLlama2-7b-Instruct.BF16.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.BF16.gguf) | BF16 | 13.48GB | ✅ Available | ⚪ No | 📦 No
| [RoLlama2-7b-Instruct.Q5_K.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.Q5_K.gguf) | Q5_K | 4.78GB | ✅ Available | ⚪ No | 📦 No
| [RoLlama2-7b-Instruct.Q5_K_S.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.Q5_K_S.gguf) | Q5_K_S | 4.65GB | ✅ Available | ⚪ No | 📦 No
| [RoLlama2-7b-Instruct.Q4_K_S.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.Q4_K_S.gguf) | Q4_K_S | 3.86GB | ✅ Available | 🟢 Yes | 📦 No
| [RoLlama2-7b-Instruct.Q3_K_L.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.Q3_K_L.gguf) | Q3_K_L | 3.60GB | ✅ Available | 🟢 Yes | 📦 No
| [RoLlama2-7b-Instruct.Q3_K_S.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.Q3_K_S.gguf) | Q3_K_S | 2.95GB | ✅ Available | 🟢 Yes | 📦 No
| [RoLlama2-7b-Instruct.Q2_K_S.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.Q2_K_S.gguf) | Q2_K_S | 2.32GB | ✅ Available | 🟢 Yes | 📦 No
| [RoLlama2-7b-Instruct.IQ4_NL.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.IQ4_NL.gguf) | IQ4_NL | 3.83GB | ✅ Available | 🟢 Yes | 📦 No
| [RoLlama2-7b-Instruct.IQ4_XS.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.IQ4_XS.gguf) | IQ4_XS | 3.62GB | ✅ Available | 🟢 Yes | 📦 No
| [RoLlama2-7b-Instruct.IQ3_M.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.IQ3_M.gguf) | IQ3_M | 3.11GB | ✅ Available | 🟢 Yes | 📦 No
| [RoLlama2-7b-Instruct.IQ3_S.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.IQ3_S.gguf) | IQ3_S | 2.95GB | ✅ Available | 🟢 Yes | 📦 No
| [RoLlama2-7b-Instruct.IQ3_XS.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.IQ3_XS.gguf) | IQ3_XS | 2.80GB | ✅ Available | 🟢 Yes | 📦 No
| [RoLlama2-7b-Instruct.IQ3_XXS.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.IQ3_XXS.gguf) | IQ3_XXS | 2.59GB | ✅ Available | 🟢 Yes | 📦 No
| [RoLlama2-7b-Instruct.IQ2_M.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.IQ2_M.gguf) | IQ2_M | 2.36GB | ✅ Available | 🟢 Yes | 📦 No
| [RoLlama2-7b-Instruct.IQ2_S.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.IQ2_S.gguf) | IQ2_S | 2.20GB | ✅ Available | 🟢 Yes | 📦 No
| [RoLlama2-7b-Instruct.IQ2_XS.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.IQ2_XS.gguf) | IQ2_XS | 2.03GB | ✅ Available | 🟢 Yes | 📦 No
| [RoLlama2-7b-Instruct.IQ2_XXS.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.IQ2_XXS.gguf) | IQ2_XXS | 1.85GB | ✅ Available | 🟢 Yes | 📦 No
| [RoLlama2-7b-Instruct.IQ1_M.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.IQ1_M.gguf) | IQ1_M | 1.65GB | ✅ Available | 🟢 Yes | 📦 No
| [RoLlama2-7b-Instruct.IQ1_S.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Instruct-IMat-GGUF/blob/main/RoLlama2-7b-Instruct.IQ1_S.gguf) | IQ1_S | 1.53GB | ✅ Available | 🟢 Yes | 📦 No
## Downloading using huggingface-cli
First, make sure you have hugginface-cli installed:
```
pip install -U "huggingface_hub[cli]"
```
Then, you can target the specific file you want:
```
huggingface-cli download legraphista/RoLlama2-7b-Instruct-IMat-GGUF --include "RoLlama2-7b-Instruct.Q8_0.gguf" --local-dir ./
```
If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run:
```
huggingface-cli download legraphista/RoLlama2-7b-Instruct-IMat-GGUF --include "RoLlama2-7b-Instruct.Q8_0/*" --local-dir RoLlama2-7b-Instruct.Q8_0
# see FAQ for merging GGUF's
```
## 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: `RoLlama2-7b-Instruct.Q8_0`)
3. Run `gguf-split --merge RoLlama2-7b-Instruct.Q8_0/RoLlama2-7b-Instruct.Q8_0-00001-of-XXXXX.gguf RoLlama2-7b-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)!
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