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--- |
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base_model: openchat/openchat-3.6-8b-20240522 |
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inference: false |
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library_name: gguf |
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license: llama3 |
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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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- imat |
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- imatrix |
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- static |
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--- |
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# openchat-3.6-8b-20240522-IMat-GGUF |
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_Llama.cpp imatrix quantization of openchat/openchat-3.6-8b-20240522_ |
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Original Model: [openchat/openchat-3.6-8b-20240522](https://huggingface.co/openchat/openchat-3.6-8b-20240522) |
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Original dtype: `BF16` (`bfloat16`) |
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Quantized by: llama.cpp [b3006](https://github.com/ggerganov/llama.cpp/releases/tag/b3006) |
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IMatrix dataset: [here](https://gist.githubusercontent.com/legraphista/d6d93f1a254bcfc58e0af3777eaec41e/raw/d380e7002cea4a51c33fffd47db851942754e7cc/imatrix.calibration.medium.raw) |
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- [openchat-3.6-8b-20240522-IMat-GGUF](#openchat-3-6-8b-20240522-imat-gguf) |
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- [Files](#files) |
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- [IMatrix](#imatrix) |
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- [Common Quants](#common-quants) |
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- [All Quants](#all-quants) |
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- [Downloading using huggingface-cli](#downloading-using-huggingface-cli) |
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- [Inference](#inference) |
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- [Simple chat template](#simple-chat-template) |
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- [Chat template with system prompt](#chat-template-with-system-prompt) |
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- [Llama.cpp](#llama-cpp) |
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- [FAQ](#faq) |
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- [Why is the IMatrix not applied everywhere?](#why-is-the-imatrix-not-applied-everywhere) |
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- [How do I merge a split GGUF?](#how-do-i-merge-a-split-gguf) |
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--- |
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## Files |
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### IMatrix |
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Status: ✅ Available |
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Link: [here](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-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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| [openchat-3.6-8b-20240522.Q8_0.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q8_0.gguf) | Q8_0 | 8.54GB | ✅ Available | ⚪ Static | 📦 No |
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| [openchat-3.6-8b-20240522.Q6_K.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q6_K.gguf) | Q6_K | 6.60GB | ✅ Available | ⚪ Static | 📦 No |
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| [openchat-3.6-8b-20240522.Q4_K.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q4_K.gguf) | Q4_K | 4.92GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [openchat-3.6-8b-20240522.Q3_K.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q3_K.gguf) | Q3_K | 4.02GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [openchat-3.6-8b-20240522.Q2_K.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q2_K.gguf) | Q2_K | 3.18GB | ✅ Available | 🟢 IMatrix | 📦 No |
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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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| [openchat-3.6-8b-20240522.FP16.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.FP16.gguf) | F16 | 16.07GB | ✅ Available | ⚪ Static | 📦 No |
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| [openchat-3.6-8b-20240522.BF16.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.BF16.gguf) | BF16 | 16.07GB | ✅ Available | ⚪ Static | 📦 No |
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| [openchat-3.6-8b-20240522.Q5_K.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q5_K.gguf) | Q5_K | 5.73GB | ✅ Available | ⚪ Static | 📦 No |
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| [openchat-3.6-8b-20240522.Q5_K_S.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q5_K_S.gguf) | Q5_K_S | 5.60GB | ✅ Available | ⚪ Static | 📦 No |
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| [openchat-3.6-8b-20240522.Q4_K_S.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q4_K_S.gguf) | Q4_K_S | 4.69GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [openchat-3.6-8b-20240522.Q3_K_L.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q3_K_L.gguf) | Q3_K_L | 4.32GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [openchat-3.6-8b-20240522.Q3_K_S.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q3_K_S.gguf) | Q3_K_S | 3.66GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [openchat-3.6-8b-20240522.Q2_K_S.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.Q2_K_S.gguf) | Q2_K_S | 2.99GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [openchat-3.6-8b-20240522.IQ4_NL.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ4_NL.gguf) | IQ4_NL | 4.68GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [openchat-3.6-8b-20240522.IQ4_XS.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ4_XS.gguf) | IQ4_XS | 4.45GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [openchat-3.6-8b-20240522.IQ3_M.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ3_M.gguf) | IQ3_M | 3.78GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [openchat-3.6-8b-20240522.IQ3_S.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ3_S.gguf) | IQ3_S | 3.68GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [openchat-3.6-8b-20240522.IQ3_XS.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ3_XS.gguf) | IQ3_XS | 3.52GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [openchat-3.6-8b-20240522.IQ3_XXS.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ3_XXS.gguf) | IQ3_XXS | 3.27GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [openchat-3.6-8b-20240522.IQ2_M.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ2_M.gguf) | IQ2_M | 2.95GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [openchat-3.6-8b-20240522.IQ2_S.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ2_S.gguf) | IQ2_S | 2.76GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [openchat-3.6-8b-20240522.IQ2_XS.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ2_XS.gguf) | IQ2_XS | 2.61GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [openchat-3.6-8b-20240522.IQ2_XXS.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ2_XXS.gguf) | IQ2_XXS | 2.40GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [openchat-3.6-8b-20240522.IQ1_M.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ1_M.gguf) | IQ1_M | 2.16GB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [openchat-3.6-8b-20240522.IQ1_S.gguf](https://huggingface.co/legraphista/openchat-3.6-8b-20240522-IMat-GGUF/blob/main/openchat-3.6-8b-20240522.IQ1_S.gguf) | IQ1_S | 2.02GB | ✅ Available | 🟢 IMatrix | 📦 No |
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## Downloading using huggingface-cli |
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If you do not 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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Download the specific file you want: |
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``` |
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huggingface-cli download legraphista/openchat-3.6-8b-20240522-IMat-GGUF --include "openchat-3.6-8b-20240522.Q8_0.gguf" --local-dir ./ |
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``` |
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If the model file is big, it has 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/openchat-3.6-8b-20240522-IMat-GGUF --include "openchat-3.6-8b-20240522.Q8_0/*" --local-dir openchat-3.6-8b-20240522.Q8_0 |
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# see FAQ for merging GGUF's |
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``` |
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--- |
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## Inference |
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### Simple chat template |
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``` |
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<|begin_of_text|><|start_header_id|>GPT4 Correct User<|end_header_id|> |
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Can you provide ways to eat combinations of bananas and dragonfruits?<|eot_id|><|start_header_id|>GPT4 Correct Assistant<|end_header_id|> |
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Sure! Here are some ways to eat bananas and dragonfruits together: |
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1. Banana and dragonfruit smoothie: Blend bananas and dragonfruits together with some milk and honey. |
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2. Banana and dragonfruit salad: Mix sliced bananas and dragonfruits together with some lemon juice and honey.<|eot_id|><|start_header_id|>GPT4 Correct User<|end_header_id|> |
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What about solving an 2x + 3 = 7 equation?<|eot_id|> |
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``` |
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### Chat template with system prompt |
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``` |
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<|begin_of_text|><|start_header_id|>System<|end_header_id|> |
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You are a helpful AI.<|eot_id|><|start_header_id|>GPT4 Correct User<|end_header_id|> |
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Can you provide ways to eat combinations of bananas and dragonfruits?<|eot_id|><|start_header_id|>GPT4 Correct Assistant<|end_header_id|> |
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Sure! Here are some ways to eat bananas and dragonfruits together: |
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1. Banana and dragonfruit smoothie: Blend bananas and dragonfruits together with some milk and honey. |
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2. Banana and dragonfruit salad: Mix sliced bananas and dragonfruits together with some lemon juice and honey.<|eot_id|><|start_header_id|>GPT4 Correct User<|end_header_id|> |
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What about solving an 2x + 3 = 7 equation?<|eot_id|> |
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``` |
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### Llama.cpp |
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``` |
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llama.cpp/main -m openchat-3.6-8b-20240522.Q8_0.gguf --color -i -p "prompt here (according to the chat template)" |
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``` |
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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: `openchat-3.6-8b-20240522.Q8_0`) |
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3. Run `gguf-split --merge openchat-3.6-8b-20240522.Q8_0/openchat-3.6-8b-20240522.Q8_0-00001-of-XXXXX.gguf openchat-3.6-8b-20240522.Q8_0.gguf` |
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- Make sure to point `gguf-split` to the first chunk of the split. |
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--- |
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Got a suggestion? Ping me [@legraphista](https://x.com/legraphista)! |
