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--- |
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\ 3.2: LlamaUseReport@meta.com" |
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inference: false |
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language: |
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- en |
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- de |
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- fr |
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- it |
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- pt |
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- hi |
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- es |
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- th |
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library_name: gguf |
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license: llama3.2 |
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pipeline_tag: text-generation |
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quantized_by: legraphista |
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tags: |
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- facebook |
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- meta |
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- pytorch |
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- llama |
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- llama-3 |
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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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|
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# Llama-Guard-3-1B-IMat-GGUF |
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_Llama.cpp imatrix quantization of meta-llama/Llama-Guard-3-1B_ |
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|
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Original Model: [meta-llama/Llama-Guard-3-1B](https://huggingface.co/meta-llama/Llama-Guard-3-1B) |
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Original dtype: `BF16` (`bfloat16`) |
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Quantized by: llama.cpp [b3825](https://github.com/ggerganov/llama.cpp/releases/tag/b3825) |
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IMatrix dataset: [here](https://gist.githubusercontent.com/bartowski1182/eb213dccb3571f863da82e99418f81e8/raw/b2869d80f5c16fd7082594248e80144677736635/calibration_datav3.txt) |
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|
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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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- [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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--- |
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## Files |
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|
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### IMatrix |
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Status: ✅ Available |
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Link: [here](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/imatrix.dat) |
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|
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### Common Quants |
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| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split | |
|
| -------- | ---------- | --------- | ------ | ------------ | -------- | |
|
| [Llama-Guard-3-1B.Q8_0.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.Q8_0.gguf) | Q8_0 | 1.60GB | ✅ Available | ⚪ Static | 📦 No |
|
| [Llama-Guard-3-1B.Q6_K.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.Q6_K.gguf) | Q6_K | 1.24GB | ✅ Available | ⚪ Static | 📦 No |
|
| [Llama-Guard-3-1B.Q4_K.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.Q4_K.gguf) | Q4_K | 955.44MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [Llama-Guard-3-1B.Q3_K.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.Q3_K.gguf) | Q3_K | 803.71MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [Llama-Guard-3-1B.Q2_K.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.Q2_K.gguf) | Q2_K | 667.06MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
|
|
|
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### All Quants |
|
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split | |
|
| -------- | ---------- | --------- | ------ | ------------ | -------- | |
|
| [Llama-Guard-3-1B.BF16.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.BF16.gguf) | BF16 | 3.00GB | ✅ Available | ⚪ Static | 📦 No |
|
| [Llama-Guard-3-1B.FP16.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.FP16.gguf) | F16 | 3.00GB | ✅ Available | ⚪ Static | 📦 No |
|
| [Llama-Guard-3-1B.Q8_0.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.Q8_0.gguf) | Q8_0 | 1.60GB | ✅ Available | ⚪ Static | 📦 No |
|
| [Llama-Guard-3-1B.Q6_K.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.Q6_K.gguf) | Q6_K | 1.24GB | ✅ Available | ⚪ Static | 📦 No |
|
| [Llama-Guard-3-1B.Q5_K.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.Q5_K.gguf) | Q5_K | 1.09GB | ✅ Available | ⚪ Static | 📦 No |
|
| [Llama-Guard-3-1B.Q5_K_S.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.Q5_K_S.gguf) | Q5_K_S | 1.07GB | ✅ Available | ⚪ Static | 📦 No |
|
| [Llama-Guard-3-1B.Q4_K.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.Q4_K.gguf) | Q4_K | 955.44MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [Llama-Guard-3-1B.Q4_K_S.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.Q4_K_S.gguf) | Q4_K_S | 923.40MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [Llama-Guard-3-1B.IQ4_NL.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.IQ4_NL.gguf) | IQ4_NL | 920.78MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [Llama-Guard-3-1B.IQ4_XS.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.IQ4_XS.gguf) | IQ4_XS | 882.68MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [Llama-Guard-3-1B.Q3_K.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.Q3_K.gguf) | Q3_K | 803.71MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [Llama-Guard-3-1B.Q3_K_L.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.Q3_K_L.gguf) | Q3_K_L | 845.39MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [Llama-Guard-3-1B.Q3_K_S.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.Q3_K_S.gguf) | Q3_K_S | 754.56MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [Llama-Guard-3-1B.IQ3_M.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.IQ3_M.gguf) | IQ3_M | 770.15MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [Llama-Guard-3-1B.IQ3_S.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.IQ3_S.gguf) | IQ3_S | 756.78MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [Llama-Guard-3-1B.IQ3_XS.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.IQ3_XS.gguf) | IQ3_XS | 733.98MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [Llama-Guard-3-1B.IQ3_XXS.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.IQ3_XXS.gguf) | IQ3_XXS | 674.97MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [Llama-Guard-3-1B.Q2_K.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.Q2_K.gguf) | Q2_K | 667.06MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [Llama-Guard-3-1B.Q2_K_S.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.Q2_K_S.gguf) | Q2_K_S | 640.85MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [Llama-Guard-3-1B.IQ2_M.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.IQ2_M.gguf) | IQ2_M | 628.31MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [Llama-Guard-3-1B.IQ2_S.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.IQ2_S.gguf) | IQ2_S | 601.57MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [Llama-Guard-3-1B.IQ2_XS.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.IQ2_XS.gguf) | IQ2_XS | 562.05MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [Llama-Guard-3-1B.IQ2_XXS.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.IQ2_XXS.gguf) | IQ2_XXS | 533.22MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [Llama-Guard-3-1B.IQ1_M.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.IQ1_M.gguf) | IQ1_M | 499.79MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
| [Llama-Guard-3-1B.IQ1_S.gguf](https://huggingface.co/legraphista/Llama-Guard-3-1B-IMat-GGUF/blob/main/Llama-Guard-3-1B.IQ1_S.gguf) | IQ1_S | 479.74MB | ✅ Available | 🟢 IMatrix | 📦 No |
|
|
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|
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## Downloading using huggingface-cli |
|
If you do not have hugginface-cli installed: |
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``` |
|
pip install -U "huggingface_hub[cli]" |
|
``` |
|
Download the specific file you want: |
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``` |
|
huggingface-cli download legraphista/Llama-Guard-3-1B-IMat-GGUF --include "Llama-Guard-3-1B.Q8_0.gguf" --local-dir ./ |
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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: |
|
``` |
|
huggingface-cli download legraphista/Llama-Guard-3-1B-IMat-GGUF --include "Llama-Guard-3-1B.Q8_0/*" --local-dir ./ |
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# see FAQ for merging GGUF's |
|
``` |
|
|
|
--- |
|
|
|
## Inference |
|
|
|
### Simple chat template |
|
``` |
|
<|begin_of_text|><|start_header_id|>user<|end_header_id|> |
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|
|
Task: Check if there is unsafe content in 'User' messages in conversations according our safety policy with the below categories. |
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|
|
<BEGIN UNSAFE CONTENT CATEGORIES> |
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S1: Violent Crimes. |
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S2: Non-Violent Crimes. |
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S3: Sex Crimes. |
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S4: Child Exploitation. |
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S5: Defamation. |
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S6: Specialized Advice. |
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S7: Privacy. |
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S8: Intellectual Property. |
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S9: Indiscriminate Weapons. |
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S10: Hate. |
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S11: Self-Harm. |
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S12: Sexual Content. |
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S13: Elections. |
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<END UNSAFE CONTENT CATEGORIES> |
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|
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<BEGIN CONVERSATION> |
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|
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<END CONVERSATION> |
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|
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Provide your safety assessment for ONLY THE LAST User message in the above conversation: |
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- First line must read 'safe' or 'unsafe'. |
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- If unsafe, a second line must include a comma-separated list of violated categories. <|eot_id|><|start_header_id|>assistant<|end_header_id|> |
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``` |
|
|
|
### Llama.cpp |
|
``` |
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llama.cpp/main -m Llama-Guard-3-1B.Q8_0.gguf --color -i -p "prompt here (according to the chat template)" |
|
``` |
|
|
|
--- |
|
|
|
## FAQ |
|
|
|
### 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). |
|
|
|
### How do I merge a split GGUF? |
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1. Make sure you have `gguf-split` available |
|
- 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: `Llama-Guard-3-1B.Q8_0`) |
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3. Run `gguf-split --merge Llama-Guard-3-1B.Q8_0/Llama-Guard-3-1B.Q8_0-00001-of-XXXXX.gguf Llama-Guard-3-1B.Q8_0.gguf` |
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- Make sure to point `gguf-split` to the first chunk of the split. |
|
|
|
--- |
|
|
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Got a suggestion? Ping me [@legraphista](https://x.com/legraphista)! |
