--- base_model: CohereForAI/aya-23-35B inference: false language: - en - fr - de - es - it - pt - ja - ko - zh - ar - el - fa - pl - id - cs - he - hi - nl - ro - ru - tr - uk - vi library_name: gguf license: cc-by-nc-4.0 pipeline_tag: text-generation quantized_by: legraphista tags: - quantized - GGUF - imatrix - quantization --- # aya-23-35B-IMat-GGUF _Llama.cpp imatrix quantization of aya-23-35B-IMat-GGUF_ Original Model: [CohereForAI/aya-23-35B](https://huggingface.co/CohereForAI/aya-23-35B) Original dtype: `FP16` (`float16`) 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/aya-23-35B-IMat-GGUF/blob/main/imatrix.dat) ### Common Quants | Filename | Quant type | File Size | Status | Uses IMatrix | Is Split | | -------- | ---------- | --------- | ------ | ------------ | -------- | | aya-23-35B.Q8_0 | Q8_0 | - | ⏳ Processing | ⚪ No | - | aya-23-35B.Q6_K | Q6_K | - | ⏳ Processing | ⚪ No | - | aya-23-35B.Q4_K | Q4_K | - | ⏳ Processing | 🟢 Yes | - | aya-23-35B.Q3_K | Q3_K | - | ⏳ Processing | 🟢 Yes | - | aya-23-35B.Q2_K | Q2_K | - | ⏳ Processing | 🟢 Yes | - ### All Quants | Filename | Quant type | File Size | Status | Uses IMatrix | Is Split | | -------- | ---------- | --------- | ------ | ------------ | -------- | | aya-23-35B.FP16 | F16 | - | ⏳ Processing | ⚪ No | - | aya-23-35B.Q5_K | Q5_K | - | ⏳ Processing | ⚪ No | - | aya-23-35B.Q5_K_S | Q5_K_S | - | ⏳ Processing | ⚪ No | - | aya-23-35B.Q4_K_S | Q4_K_S | - | ⏳ Processing | 🟢 Yes | - | aya-23-35B.Q3_K_L | Q3_K_L | - | ⏳ Processing | 🟢 Yes | - | aya-23-35B.Q3_K_S | Q3_K_S | - | ⏳ Processing | 🟢 Yes | - | aya-23-35B.Q2_K_S | Q2_K_S | - | ⏳ Processing | 🟢 Yes | - | aya-23-35B.IQ4_NL | IQ4_NL | - | ⏳ Processing | 🟢 Yes | - | aya-23-35B.IQ4_XS | IQ4_XS | - | ⏳ Processing | 🟢 Yes | - | aya-23-35B.IQ3_M | IQ3_M | - | ⏳ Processing | 🟢 Yes | - | aya-23-35B.IQ3_S | IQ3_S | - | ⏳ Processing | 🟢 Yes | - | aya-23-35B.IQ3_XS | IQ3_XS | - | ⏳ Processing | 🟢 Yes | - | aya-23-35B.IQ3_XXS | IQ3_XXS | - | ⏳ Processing | 🟢 Yes | - | aya-23-35B.IQ2_M | IQ2_M | - | ⏳ Processing | 🟢 Yes | - | aya-23-35B.IQ2_S | IQ2_S | - | ⏳ Processing | 🟢 Yes | - | aya-23-35B.IQ2_XS | IQ2_XS | - | ⏳ Processing | 🟢 Yes | - | aya-23-35B.IQ2_XXS | IQ2_XXS | - | ⏳ Processing | 🟢 Yes | - | aya-23-35B.IQ1_M | IQ1_M | - | ⏳ Processing | 🟢 Yes | - | aya-23-35B.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/aya-23-35B-IMat-GGUF --include "aya-23-35B.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/aya-23-35B-IMat-GGUF --include "aya-23-35B.Q8_0/*" --local-dir aya-23-35B.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: `aya-23-35B.Q8_0`) 3. Run `gguf-split --merge aya-23-35B.Q8_0/aya-23-35B.Q8_0-00001-of-XXXXX.gguf aya-23-35B.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)!