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--- |
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base_model: Qwen/Qwen2.5-0.5B-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: apache-2.0 |
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license_link: https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct/blob/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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- chat |
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- quantized |
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- GGUF |
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- quantization |
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- imat |
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- imatrix |
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- static |
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- 16bit |
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- 8bit |
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- 6bit |
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- 5bit |
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- 4bit |
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- 3bit |
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- 2bit |
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- 1bit |
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--- |
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# Qwen2.5-0.5B-Instruct-IMat-GGUF |
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_Llama.cpp imatrix quantization of Qwen/Qwen2.5-0.5B-Instruct_ |
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Original Model: [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) |
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Original dtype: `BF16` (`bfloat16`) |
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Quantized by: llama.cpp [b3785](https://github.com/ggerganov/llama.cpp/releases/tag/b3785) |
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IMatrix dataset: [here](https://gist.githubusercontent.com/bartowski1182/eb213dccb3571f863da82e99418f81e8/raw/b2869d80f5c16fd7082594248e80144677736635/calibration_datav3.txt) |
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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/Qwen2.5-0.5B-Instruct-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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| [Qwen2.5-0.5B-Instruct.Q8_0.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.Q8_0.gguf) | Q8_0 | 531.07MB | ✅ Available | ⚪ Static | 📦 No |
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| [Qwen2.5-0.5B-Instruct.Q6_K.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.Q6_K.gguf) | Q6_K | 505.74MB | ✅ Available | ⚪ Static | 📦 No |
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| [Qwen2.5-0.5B-Instruct.Q4_K.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.Q4_K.gguf) | Q4_K | 397.81MB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [Qwen2.5-0.5B-Instruct.Q3_K.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.Q3_K.gguf) | Q3_K | 355.47MB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [Qwen2.5-0.5B-Instruct.Q2_K.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.Q2_K.gguf) | Q2_K | 338.61MB | ✅ 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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| [Qwen2.5-0.5B-Instruct.BF16.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.BF16.gguf) | BF16 | 994.16MB | ✅ Available | ⚪ Static | 📦 No |
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| [Qwen2.5-0.5B-Instruct.FP16.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.FP16.gguf) | F16 | 994.16MB | ✅ Available | ⚪ Static | 📦 No |
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| [Qwen2.5-0.5B-Instruct.Q8_0.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.Q8_0.gguf) | Q8_0 | 531.07MB | ✅ Available | ⚪ Static | 📦 No |
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| [Qwen2.5-0.5B-Instruct.Q6_K.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.Q6_K.gguf) | Q6_K | 505.74MB | ✅ Available | ⚪ Static | 📦 No |
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| [Qwen2.5-0.5B-Instruct.Q5_K.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.Q5_K.gguf) | Q5_K | 420.09MB | ✅ Available | ⚪ Static | 📦 No |
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| [Qwen2.5-0.5B-Instruct.Q5_K_S.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.Q5_K_S.gguf) | Q5_K_S | 412.71MB | ✅ Available | ⚪ Static | 📦 No |
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| [Qwen2.5-0.5B-Instruct.Q4_K.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.Q4_K.gguf) | Q4_K | 397.81MB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [Qwen2.5-0.5B-Instruct.Q4_K_S.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.Q4_K_S.gguf) | Q4_K_S | 385.47MB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [Qwen2.5-0.5B-Instruct.IQ4_NL.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.IQ4_NL.gguf) | IQ4_NL | 352.67MB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [Qwen2.5-0.5B-Instruct.IQ4_XS.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.IQ4_XS.gguf) | IQ4_XS | 349.40MB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [Qwen2.5-0.5B-Instruct.Q3_K.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.Q3_K.gguf) | Q3_K | 355.47MB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [Qwen2.5-0.5B-Instruct.Q3_K_L.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.Q3_K_L.gguf) | Q3_K_L | 369.36MB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [Qwen2.5-0.5B-Instruct.Q3_K_S.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.Q3_K_S.gguf) | Q3_K_S | 338.26MB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [Qwen2.5-0.5B-Instruct.IQ3_M.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.IQ3_M.gguf) | IQ3_M | 342.75MB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [Qwen2.5-0.5B-Instruct.IQ3_S.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.IQ3_S.gguf) | IQ3_S | 338.61MB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [Qwen2.5-0.5B-Instruct.IQ3_XS.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.IQ3_XS.gguf) | IQ3_XS | 338.61MB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [Qwen2.5-0.5B-Instruct.IQ3_XXS.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.IQ3_XXS.gguf) | IQ3_XXS | 333.70MB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [Qwen2.5-0.5B-Instruct.Q2_K.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.Q2_K.gguf) | Q2_K | 338.61MB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [Qwen2.5-0.5B-Instruct.Q2_K_S.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.Q2_K_S.gguf) | Q2_K_S | 331.05MB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [Qwen2.5-0.5B-Instruct.IQ2_M.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.IQ2_M.gguf) | IQ2_M | 328.60MB | ✅ Available | 🟢 IMatrix | 📦 No |
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| [Qwen2.5-0.5B-Instruct.IQ2_S.gguf](https://huggingface.co/legraphista/Qwen2.5-0.5B-Instruct-IMat-GGUF/blob/main/Qwen2.5-0.5B-Instruct.IQ2_S.gguf) | IQ2_S | 325.74MB | ✅ Available | 🟢 IMatrix | 📦 No |
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| Qwen2.5-0.5B-Instruct.IQ2_XS | IQ2_XS | - | ⏳ Processing | 🟢 IMatrix | - |
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| Qwen2.5-0.5B-Instruct.IQ2_XXS | IQ2_XXS | - | ⏳ Processing | 🟢 IMatrix | - |
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| Qwen2.5-0.5B-Instruct.IQ1_M | IQ1_M | - | ⏳ Processing | 🟢 IMatrix | - |
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| Qwen2.5-0.5B-Instruct.IQ1_S | IQ1_S | - | ⏳ Processing | 🟢 IMatrix | - |
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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/Qwen2.5-0.5B-Instruct-IMat-GGUF --include "Qwen2.5-0.5B-Instruct.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/Qwen2.5-0.5B-Instruct-IMat-GGUF --include "Qwen2.5-0.5B-Instruct.Q8_0/*" --local-dir ./ |
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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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<|im_start|>system |
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You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|> |
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<|im_start|>user |
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{user_prompt}<|im_end|> |
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<|im_start|>assistant |
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{assistant_response}<|im_end|> |
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<|im_start|>user |
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{next_user_prompt}<|im_end|> |
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``` |
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### Chat template with system prompt |
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``` |
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<|im_start|>system |
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{system_prompt}<|im_end|> |
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<|im_start|>user |
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{user_prompt}<|im_end|> |
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<|im_start|>assistant |
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{assistant_response}<|im_end|> |
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<|im_start|>user |
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{next_user_prompt}<|im_end|> |
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``` |
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### Llama.cpp |
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``` |
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llama.cpp/main -m Qwen2.5-0.5B-Instruct.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: `Qwen2.5-0.5B-Instruct.Q8_0`) |
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3. Run `gguf-split --merge Qwen2.5-0.5B-Instruct.Q8_0/Qwen2.5-0.5B-Instruct.Q8_0-00001-of-XXXXX.gguf Qwen2.5-0.5B-Instruct.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)! |
