measurement.json
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README.md
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---
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license: apache-2.0
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license_link: https://huggingface.co/Qwen/Qwen2.5-14B-Instruct/blob/main/LICENSE
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language:
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- en
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pipeline_tag: text-generation
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base_model: Qwen/Qwen2.5-14B
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tags:
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- chat
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quantized_by: bartowski
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---
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## Exllama v2 Quantizations of Qwen2.5-14B-Instruct
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.2.2">turboderp's ExLlamaV2 v0.2.2</a> for quantization.
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<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
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Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
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Original model: https://huggingface.co/Qwen/Qwen2.5-14B-Instruct
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## Prompt format
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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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{prompt}<|im_end|>
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<|im_start|>assistant
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```
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## Available sizes
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| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | Description |
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| ----- | ---- | ------- | ------ | ------ | ------------ |
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| [8_0](https://huggingface.co/bartowski/Qwen2.5-14B-Instruct-exl2/tree/8_0) | 8.0 | 8.0 | 17.4 GB | 20.9 GB | Max quality that ExLlamaV2 can produce, **recommended**. |
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| [6_5](https://huggingface.co/bartowski/Qwen2.5-14B-Instruct-exl2/tree/6_5) | 6.5 | 8.0 | 14.6 GB | 17.5 GB | Near unquantized performance at vastly reduced size, **recommended**. |
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| [5_0](https://huggingface.co/bartowski/Qwen2.5-14B-Instruct-exl2/tree/5_0) | 5.0 | 6.0 | 11.6 GB | 14.4 GB | Slightly lower quality vs 6.5. |
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| [4_25](https://huggingface.co/bartowski/Qwen2.5-14B-Instruct-exl2/tree/4_25) | 4.25 | 6.0 | 10.1 GB | 13.0 GB | GPTQ equivalent bits per weight. |
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| [3_5](https://huggingface.co/bartowski/Qwen2.5-14B-Instruct-exl2/tree/3_5) | 3.5 | 6.0 | 8.7 GB | 11.5 GB | Lower quality, not recommended. |
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| [3_0](https://huggingface.co/bartowski/Qwen2.5-14B-Instruct-exl2/tree/3_0) | 3.0 | 6.0 | 7.8 GB | 10.5 GB | Low quality, not recommended. |
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## Download instructions
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With git:
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```shell
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git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Qwen2.5-14B-Instruct-exl2 Qwen2.5-14B-Instruct-exl2-6_5
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```
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With huggingface hub (credit to TheBloke for instructions):
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```shell
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pip3 install huggingface-hub
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```
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To download a specific branch, use the `--revision` parameter. For example, to download the 6.5 bpw branch:
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Linux:
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```shell
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huggingface-cli download bartowski/Qwen2.5-14B-Instruct-exl2 --revision 6_5 --local-dir Qwen2.5-14B-Instruct-exl2-6_5
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```
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Windows (which apparently doesn't like _ in folders sometimes?):
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```shell
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huggingface-cli download bartowski/Qwen2.5-14B-Instruct-exl2 --revision 6_5 --local-dir Qwen2.5-14B-Instruct-exl2-6.5
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```
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Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
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measurement.json
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