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README.md

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+---
+base_model: OpenLLM-Ro/RoLlama2-7b-Base
+inference: false
+language:
+- ro
+library_name: gguf
+license: llama2
+pipeline_tag: text-generation
+quantized_by: legraphista
+tags:
+- quantized
+- GGUF
+- imatrix
+- quantization
+---
+
+# RoLlama2-7b-Base-IMat-GGUF
+_Llama.cpp imatrix quantization of RoLlama2-7b-Base-IMat-GGUF_
+
+Original Model: [OpenLLM-Ro/RoLlama2-7b-Base](https://huggingface.co/OpenLLM-Ro/RoLlama2-7b-Base)  
+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: ⏳ Processing  
+Link: [here](https://huggingface.co/legraphista/RoLlama2-7b-Base-IMat-GGUF/blob/main/imatrix.dat) 
+
+### Common Quants
+| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
+| -------- | ---------- | --------- | ------ | ------------ | -------- |
+| RoLlama2-7b-Base.Q8_0 | Q8_0 | - | ⏳ Processing | No | -
+| RoLlama2-7b-Base.Q6_K | Q6_K | - | ⏳ Processing | No | -
+| RoLlama2-7b-Base.Q4_K | Q4_K | - | ⏳ Processing | Yes | -
+| RoLlama2-7b-Base.Q3_K | Q3_K | - | ⏳ Processing | Yes | -
+| RoLlama2-7b-Base.Q2_K | Q2_K | - | ⏳ Processing | Yes | -
+
+
+### All Quants
+| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
+| -------- | ---------- | --------- | ------ | ------------ | -------- |
+| RoLlama2-7b-Base.FP16 | F16 | - | ⏳ Processing | No | -
+| RoLlama2-7b-Base.BF16 | BF16 | - | ⏳ Processing | No | -
+| RoLlama2-7b-Base.Q5_K | Q5_K | - | ⏳ Processing | No | -
+| RoLlama2-7b-Base.Q5_K_S | Q5_K_S | - | ⏳ Processing | No | -
+| RoLlama2-7b-Base.Q4_K_S | Q4_K_S | - | ⏳ Processing | Yes | -
+| RoLlama2-7b-Base.Q3_K_L | Q3_K_L | - | ⏳ Processing | Yes | -
+| RoLlama2-7b-Base.Q3_K_S | Q3_K_S | - | ⏳ Processing | Yes | -
+| RoLlama2-7b-Base.Q2_K_S | Q2_K_S | - | ⏳ Processing | Yes | -
+| RoLlama2-7b-Base.IQ4_NL | IQ4_NL | - | ⏳ Processing | Yes | -
+| RoLlama2-7b-Base.IQ4_XS | IQ4_XS | - | ⏳ Processing | Yes | -
+| RoLlama2-7b-Base.IQ3_M | IQ3_M | - | ⏳ Processing | Yes | -
+| RoLlama2-7b-Base.IQ3_S | IQ3_S | - | ⏳ Processing | Yes | -
+| RoLlama2-7b-Base.IQ3_XS | IQ3_XS | - | ⏳ Processing | Yes | -
+| RoLlama2-7b-Base.IQ3_XXS | IQ3_XXS | - | ⏳ Processing | Yes | -
+| RoLlama2-7b-Base.IQ2_M | IQ2_M | - | ⏳ Processing | Yes | -
+| RoLlama2-7b-Base.IQ2_S | IQ2_S | - | ⏳ Processing | Yes | -
+| RoLlama2-7b-Base.IQ2_XS | IQ2_XS | - | ⏳ Processing | Yes | -
+| RoLlama2-7b-Base.IQ2_XXS | IQ2_XXS | - | ⏳ Processing | Yes | -
+| RoLlama2-7b-Base.IQ1_M | IQ1_M | - | ⏳ Processing | Yes | -
+| RoLlama2-7b-Base.IQ1_S | IQ1_S | - | ⏳ Processing | Yes | -
+
+
+## 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-Base-IMat-GGUF --include "RoLlama2-7b-Base.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-Base-IMat-GGUF --include "RoLlama2-7b-Base.Q8_0/*" --local-dir RoLlama2-7b-Base.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-Base.Q8_0`)
+3. Run `gguf-split --merge RoLlama2-7b-Base.Q8_0/RoLlama2-7b-Base.Q8_0-00001-of-XXXXX.gguf RoLlama2-7b-Base.Q8_0.gguf`
+    - Make sure to point `gguf-split` to the first chunk of the split.