measurement.json

README.md

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+---
+
+quantized_by: bartowski
+pipeline_tag: text-generation
+---
+
+## Exllama v2 Quantizations of Qwen2.5-14B-Instruct-1M
+
+Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.2.7">turboderp's ExLlamaV2 v0.2.7</a> for quantization.
+
+<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
+
+Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
+
+Original model: https://huggingface.co/Qwen/Qwen2.5-14B-Instruct-1M
+
+## Prompt format
+
+```
+<|im_start|>system
+{system_prompt}<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+
+```
+
+## Available sizes
+
+| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | Description |
+| ----- | ---- | ------- | ------ | ------ | ------------ |
+| [8_0](https://huggingface.co/bartowski/Qwen2.5-14B-Instruct-1M-exl2/tree/8_0) | 8.0  | 8.0 | 17.4 GB | 20.9 GB | Max quality that ExLlamaV2 can produce, **recommended**. |
+| [6_5](https://huggingface.co/bartowski/Qwen2.5-14B-Instruct-1M-exl2/tree/6_5) | 6.5  | 8.0 | 14.6 GB | 17.5 GB | Near unquantized performance at vastly reduced size, **recommended**. |
+| [5_0](https://huggingface.co/bartowski/Qwen2.5-14B-Instruct-1M-exl2/tree/5_0) | 5.0  | 6.0 | 11.6 GB | 14.4 GB | Slightly lower quality vs 6.5. |
+| [4_25](https://huggingface.co/bartowski/Qwen2.5-14B-Instruct-1M-exl2/tree/4_25) | 4.25 | 6.0 | 10.1 GB | 13.0 GB | GPTQ equivalent bits per weight. |
+| [3_5](https://huggingface.co/bartowski/Qwen2.5-14B-Instruct-1M-exl2/tree/3_5) | 3.5  | 6.0 | 8.7 GB | 11.5 GB | Lower quality, not recommended. |
+| [3_0](https://huggingface.co/bartowski/Qwen2.5-14B-Instruct-1M-exl2/tree/3_0) | 3.0  | 6.0 | 7.8 GB | 10.5 GB | Low quality, not recommended. |
+
+## Download instructions
+
+With git:
+
+```shell
+git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Qwen2.5-14B-Instruct-1M-exl2 Qwen2.5-14B-Instruct-1M-exl2-6_5
+```
+
+With huggingface hub (credit to TheBloke for instructions):
+
+```shell
+pip3 install huggingface-hub
+```
+
+To download a specific branch, use the `--revision` parameter. For example, to download the 6.5 bpw branch:
+
+Linux:
+
+```shell
+huggingface-cli download bartowski/Qwen2.5-14B-Instruct-1M-exl2 --revision 6_5 --local-dir Qwen2.5-14B-Instruct-1M-exl2-6_5
+```
+
+Windows (which apparently doesn't like _ in folders sometimes?):
+
+```shell
+huggingface-cli download bartowski/Qwen2.5-14B-Instruct-1M-exl2 --revision 6_5 --local-dir Qwen2.5-14B-Instruct-1M-exl2-6.5
+```
+
+Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski