--- base_model: OpenLLM-Ro/RoLlama2-7b-Chat 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-Chat-IMat-GGUF _Llama.cpp imatrix quantization of RoLlama2-7b-Chat-IMat-GGUF_ Original Model: [OpenLLM-Ro/RoLlama2-7b-Chat](https://huggingface.co/OpenLLM-Ro/RoLlama2-7b-Chat) 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-Chat-IMat-GGUF/blob/main/imatrix.dat) ### Common Quants | Filename | Quant type | File Size | Status | Uses IMatrix | Is Split | | -------- | ---------- | --------- | ------ | ------------ | -------- | | [RoLlama2-7b-Chat.Q8_0.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Chat-IMat-GGUF/blob/main/RoLlama2-7b-Chat.Q8_0.gguf) | Q8_0 | 7.16GB | ✅ Available | No | 📦 No | [RoLlama2-7b-Chat.Q6_K.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Chat-IMat-GGUF/blob/main/RoLlama2-7b-Chat.Q6_K.gguf) | Q6_K | 5.53GB | ✅ Available | No | 📦 No | [RoLlama2-7b-Chat.Q4_K.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Chat-IMat-GGUF/blob/main/RoLlama2-7b-Chat.Q4_K.gguf) | Q4_K | 4.08GB | ✅ Available | Yes | 📦 No | [RoLlama2-7b-Chat.Q3_K.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Chat-IMat-GGUF/blob/main/RoLlama2-7b-Chat.Q3_K.gguf) | Q3_K | 3.30GB | ✅ Available | Yes | 📦 No | [RoLlama2-7b-Chat.Q2_K.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Chat-IMat-GGUF/blob/main/RoLlama2-7b-Chat.Q2_K.gguf) | Q2_K | 2.53GB | ✅ Available | Yes | 📦 No ### All Quants | Filename | Quant type | File Size | Status | Uses IMatrix | Is Split | | -------- | ---------- | --------- | ------ | ------------ | -------- | | [RoLlama2-7b-Chat.FP16.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Chat-IMat-GGUF/blob/main/RoLlama2-7b-Chat.FP16.gguf) | F16 | 13.48GB | ✅ Available | No | 📦 No | [RoLlama2-7b-Chat.BF16.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Chat-IMat-GGUF/blob/main/RoLlama2-7b-Chat.BF16.gguf) | BF16 | 13.48GB | ✅ Available | No | 📦 No | [RoLlama2-7b-Chat.Q5_K.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Chat-IMat-GGUF/blob/main/RoLlama2-7b-Chat.Q5_K.gguf) | Q5_K | 4.78GB | ✅ Available | No | 📦 No | [RoLlama2-7b-Chat.Q5_K_S.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Chat-IMat-GGUF/blob/main/RoLlama2-7b-Chat.Q5_K_S.gguf) | Q5_K_S | 4.65GB | ✅ Available | No | 📦 No | [RoLlama2-7b-Chat.Q4_K_S.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Chat-IMat-GGUF/blob/main/RoLlama2-7b-Chat.Q4_K_S.gguf) | Q4_K_S | 3.86GB | ✅ Available | Yes | 📦 No | [RoLlama2-7b-Chat.Q3_K_L.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Chat-IMat-GGUF/blob/main/RoLlama2-7b-Chat.Q3_K_L.gguf) | Q3_K_L | 3.60GB | ✅ Available | Yes | 📦 No | [RoLlama2-7b-Chat.Q3_K_S.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Chat-IMat-GGUF/blob/main/RoLlama2-7b-Chat.Q3_K_S.gguf) | Q3_K_S | 2.95GB | ✅ Available | Yes | 📦 No | [RoLlama2-7b-Chat.Q2_K_S.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Chat-IMat-GGUF/blob/main/RoLlama2-7b-Chat.Q2_K_S.gguf) | Q2_K_S | 2.32GB | ✅ Available | Yes | 📦 No | [RoLlama2-7b-Chat.IQ4_NL.gguf](https://huggingface.co/legraphista/RoLlama2-7b-Chat-IMat-GGUF/blob/main/RoLlama2-7b-Chat.IQ4_NL.gguf) | IQ4_NL | 3.83GB | ✅ Available | Yes | 📦 No | RoLlama2-7b-Chat.IQ4_XS | IQ4_XS | - | ⏳ Processing | Yes | - | RoLlama2-7b-Chat.IQ3_M | IQ3_M | - | ⏳ Processing | Yes | - | RoLlama2-7b-Chat.IQ3_S | IQ3_S | - | ⏳ Processing | Yes | - | RoLlama2-7b-Chat.IQ3_XS | IQ3_XS | - | ⏳ Processing | Yes | - | RoLlama2-7b-Chat.IQ3_XXS | IQ3_XXS | - | ⏳ Processing | Yes | - | RoLlama2-7b-Chat.IQ2_M | IQ2_M | - | ⏳ Processing | Yes | - | RoLlama2-7b-Chat.IQ2_S | IQ2_S | - | ⏳ Processing | Yes | - | RoLlama2-7b-Chat.IQ2_XS | IQ2_XS | - | ⏳ Processing | Yes | - | RoLlama2-7b-Chat.IQ2_XXS | IQ2_XXS | - | ⏳ Processing | Yes | - | RoLlama2-7b-Chat.IQ1_M | IQ1_M | - | ⏳ Processing | Yes | - | RoLlama2-7b-Chat.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-Chat-IMat-GGUF --include "RoLlama2-7b-Chat.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-Chat-IMat-GGUF --include "RoLlama2-7b-Chat.Q8_0/*" --local-dir RoLlama2-7b-Chat.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-Chat.Q8_0`) 3. Run `gguf-split --merge RoLlama2-7b-Chat.Q8_0/RoLlama2-7b-Chat.Q8_0-00001-of-XXXXX.gguf RoLlama2-7b-Chat.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)!