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Fixed gguf-vram-estimator.py path

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Donato Capitella
2025-08-03 14:02:03 +01:00
parent 645a318257
commit 63ceb6ee57
1 changed files with 3 additions and 3 deletions
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docs/vram-estimator.md
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@@ -21,7 +21,7 @@ This repo provides a tool, **`gguf-vram-estimator.py`**, which reads a `.gguf` m
Make sure you have the estimator script (in `tools/`): Make sure you have the estimator script (in `tools/`):
```sh ```sh
python3 tools/gguf-vram-estimator.py <path-to-model.gguf> gguf-vram-estimator.py <path-to-model.gguf>
``` ```
* Supply one or more context lengths to get the corresponding VRAM footprint. * Supply one or more context lengths to get the corresponding VRAM footprint.
@@ -34,7 +34,7 @@ python3 tools/gguf-vram-estimator.py <path-to-model.gguf>
### 3.1 Llama-4-Scout 17B Q4\_K\_XL, up to 1M tokens ### 3.1 Llama-4-Scout 17B Q4\_K\_XL, up to 1M tokens
``` ```
$ python3 tools/gguf-vram-estimator.py models/llama-4-scout-17b-16e/Q4_K_XL/Llama-4-Scout-17B-16E-Instruct-UD-Q4_K_XL-00001-of-00002.gguf --contexts 4096 32768 1048576 $ gguf-vram-estimator.py models/llama-4-scout-17b-16e/Q4_K_XL/Llama-4-Scout-17B-16E-Instruct-UD-Q4_K_XL-00001-of-00002.gguf --contexts 4096 32768 1048576
--- Model 'Llama-4-Scout-17B-16E-Instruct' --- --- Model 'Llama-4-Scout-17B-16E-Instruct' ---
Max Context: 10,485,760 tokens Max Context: 10,485,760 tokens
@@ -58,7 +58,7 @@ Incl. Overhead: 2.00 GiB
### 3.2 Qwen3-235B Q3\_K XL, high context ### 3.2 Qwen3-235B Q3\_K XL, high context
``` ```
$ python3 tools/gguf-vram-estimator.py models/qwen3-235B-Q3_K-XL/UD-Q3_K_XL/Qwen3-235B-A22B-Instruct-2507-UD-Q3_K_XL-00001-of-00003.gguf --contexts 65536 131072 262144 $ gguf-vram-estimator.py models/qwen3-235B-Q3_K-XL/UD-Q3_K_XL/Qwen3-235B-A22B-Instruct-2507-UD-Q3_K_XL-00001-of-00003.gguf --contexts 65536 131072 262144
--- Memory Footprint Estimation --- --- Memory Footprint Estimation ---
Context Size | Context Memory | Est. Total VRAM Context Size | Context Memory | Est. Total VRAM