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--- |
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base_model: microsoft/Phi-3-mini-4k-instruct |
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inference: false |
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language: |
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- en |
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library_name: gguf |
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license: mit |
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license_link: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE |
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pipeline_tag: text-generation |
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quantized_by: legraphista |
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tags: |
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- quantized |
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- GGUF |
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- imatrix |
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- quantization |
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--- |
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# Phi-3-mini-4k-instruct-GGUF |
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_Llama.cpp imatrix quantization of Phi-3-mini-4k-instruct-GGUF_ |
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Original Model: [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) |
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Original dtype: `BF16` (`bfloat16`) |
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Quantized by: llama.cpp [b2989](https://github.com/ggerganov/llama.cpp/releases/tag/b2989) |
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IMatrix dataset: [here](https://gist.githubusercontent.com/legraphista/d6d93f1a254bcfc58e0af3777eaec41e/raw/d380e7002cea4a51c33fffd47db851942754e7cc/imatrix.calibration.medium.raw) |
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## Files |
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### IMatrix |
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Status: ⏳ Processing |
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Link: [here](https://huggingface.co/legraphista/Phi-3-mini-4k-instruct-GGUF/blob/main/imatrix.dat) |
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### Common Quants |
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| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split | |
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| -------- | ---------- | --------- | ------ | ------------ | -------- | |
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| Phi-3-mini-4k-instruct.Q8_0 | Q8_0 | - | ⏳ Processing | No | - |
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| [Phi-3-mini-4k-instruct.Q6_K.gguf](https://huggingface.co/legraphista/Phi-3-mini-4k-instruct-GGUF/blob/main/Phi-3-mini-4k-instruct.Q6_K.gguf) | Q6_K | 3.14GB | ✅ Available | No | 📦 No |
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| Phi-3-mini-4k-instruct.Q4_K | Q4_K | - | ⏳ Processing | Yes | - |
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| Phi-3-mini-4k-instruct.Q3_K | Q3_K | - | ⏳ Processing | Yes | - |
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| Phi-3-mini-4k-instruct.Q2_K | Q2_K | - | ⏳ Processing | Yes | - |
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### All Quants |
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| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split | |
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| -------- | ---------- | --------- | ------ | ------------ | -------- | |
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| Phi-3-mini-4k-instruct.FP16 | F16 | - | ⏳ Processing | No | - |
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| Phi-3-mini-4k-instruct.BF16 | BF16 | - | ⏳ Processing | No | - |
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| [Phi-3-mini-4k-instruct.Q5_K.gguf](https://huggingface.co/legraphista/Phi-3-mini-4k-instruct-GGUF/blob/main/Phi-3-mini-4k-instruct.Q5_K.gguf) | Q5_K | 2.82GB | ✅ Available | No | 📦 No |
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| Phi-3-mini-4k-instruct.Q5_K_S | Q5_K_S | - | ⏳ Processing | No | - |
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| Phi-3-mini-4k-instruct.Q4_K_S | Q4_K_S | - | ⏳ Processing | Yes | - |
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| Phi-3-mini-4k-instruct.Q3_K_L | Q3_K_L | - | ⏳ Processing | Yes | - |
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| Phi-3-mini-4k-instruct.Q3_K_S | Q3_K_S | - | ⏳ Processing | Yes | - |
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| Phi-3-mini-4k-instruct.Q2_K_S | Q2_K_S | - | ⏳ Processing | Yes | - |
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| Phi-3-mini-4k-instruct.IQ4_NL | IQ4_NL | - | ⏳ Processing | Yes | - |
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| Phi-3-mini-4k-instruct.IQ4_XS | IQ4_XS | - | ⏳ Processing | Yes | - |
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| Phi-3-mini-4k-instruct.IQ3_M | IQ3_M | - | ⏳ Processing | Yes | - |
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| Phi-3-mini-4k-instruct.IQ3_S | IQ3_S | - | ⏳ Processing | Yes | - |
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| Phi-3-mini-4k-instruct.IQ3_XS | IQ3_XS | - | ⏳ Processing | Yes | - |
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| Phi-3-mini-4k-instruct.IQ3_XXS | IQ3_XXS | - | ⏳ Processing | Yes | - |
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| Phi-3-mini-4k-instruct.IQ2_M | IQ2_M | - | ⏳ Processing | Yes | - |
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| Phi-3-mini-4k-instruct.IQ2_S | IQ2_S | - | ⏳ Processing | Yes | - |
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| Phi-3-mini-4k-instruct.IQ2_XS | IQ2_XS | - | ⏳ Processing | Yes | - |
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| Phi-3-mini-4k-instruct.IQ2_XXS | IQ2_XXS | - | ⏳ Processing | Yes | - |
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| Phi-3-mini-4k-instruct.IQ1_M | IQ1_M | - | ⏳ Processing | Yes | - |
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| Phi-3-mini-4k-instruct.IQ1_S | IQ1_S | - | ⏳ Processing | Yes | - |
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## Downloading using huggingface-cli |
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First, make sure you have hugginface-cli installed: |
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``` |
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pip install -U "huggingface_hub[cli]" |
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``` |
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Then, you can target the specific file you want: |
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``` |
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huggingface-cli download legraphista/Phi-3-mini-4k-instruct-GGUF --include "Phi-3-mini-4k-instruct.Q8_0.gguf" --local-dir ./ |
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``` |
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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: |
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``` |
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huggingface-cli download legraphista/Phi-3-mini-4k-instruct-GGUF --include "Phi-3-mini-4k-instruct.Q8_0/*" --local-dir Phi-3-mini-4k-instruct.Q8_0 |
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# see FAQ for merging GGUF's |
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``` |
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## FAQ |
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### Why is the IMatrix not applied everywhere? |
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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). |
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### How do I merge a split GGUF? |
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1. Make sure you have `gguf-split` available |
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- To get hold of `gguf-split`, navigate to https://github.com/ggerganov/llama.cpp/releases |
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- Download the appropriate zip for your system from the latest release |
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- Unzip the archive and you should be able to find `gguf-split` |
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2. Locate your GGUF chunks folder (ex: `Phi-3-mini-4k-instruct.Q8_0`) |
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3. Run `gguf-split --merge Phi-3-mini-4k-instruct.Q8_0/Phi-3-mini-4k-instruct.Q8_0-00001-of-XXXXX.gguf Phi-3-mini-4k-instruct.Q8_0.gguf` |
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- Make sure to point `gguf-split` to the first chunk of the split. |
