measurement.json

README.md

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+---
+license: mit
+license_link: https://huggingface.co/microsoft/wavecoder-ultra-6.7b/blob/main/LICENSE
+language:
+  - en
+library_name: transformers
+datasets:
+  - humaneval
+pipeline_tag: text-generation
+tags:
+  - code
+metrics:
+  - code_eval
+quantized_by: bartowski
+---
+
+## Exllama v2 Quantizations of wavecoder-ultra-1.1-6.7b
+
+Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19">turboderp's ExLlamaV2 v0.0.19</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/microsoft/wavecoder-ultra-6.7b
+
+## Prompt format
+
+No chat template specified so default is used. This may be incorrect, check original model card for details.
+
+```
+<｜begin▁of▁sentence｜>[INST] <<SYS>>
+{system_prompt}
+<</SYS>>
+
+{prompt} [/INST]  <｜end▁of▁sentence｜>
+```
+
+## Available sizes
+
+No GQA - VRAM requirements will be higher
+
+| Branch                                                         | Bits | lm_head bits | Size (4k) | Size (16k) | Description |
+| -------------------------------------------------------------- | ---- | ------------ | --------- | ---------- | ----------- |
+| [8_0](https://huggingface.co/bartowski/wavecoder-ultra-1.1-6.7b-exl2/tree/8_0) | 8.0 | 8.0 | 9.4 GB | 15.6 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
+| [6_5](https://huggingface.co/bartowski/wavecoder-ultra-1.1-6.7b-exl2/tree/6_5) | 6.5  | 8.0 | 8.6 GB | 14.8 GB | Near unquantized performance at vastly reduced size, **recommended**. |
+| [5_0](https://huggingface.co/bartowski/wavecoder-ultra-1.1-6.7b-exl2/tree/5_0) | 5.0  | 6.0 | 7.2 GB | 13.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards with 4k context. |
+| [4_25](https://huggingface.co/bartowski/wavecoder-ultra-1.1-6.7b-exl2/tree/4_25) | 4.25 | 6.0 | 6.5 GB | 12.7 GB | GPTQ equivalent bits per weight. |
+| [3_5](https://huggingface.co/bartowski/wavecoder-ultra-1.1-6.7b-exl2/tree/3_5) | 3.5 | 6.0 | 5.9 GB | 12.1 GB | Lower quality, not recommended. |
+
+## Download instructions
+
+With git:
+
+```shell
+git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/wavecoder-ultra-1.1-6.7b-exl2 wavecoder-ultra-1.1-6.7b-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/wavecoder-ultra-1.1-6.7b-exl2 --revision 6_5 --local-dir wavecoder-ultra-1.1-6.7b-exl2-6_5 --local-dir-use-symlinks False
+```
+
+Windows (which apparently doesn't like _ in folders sometimes?):
+
+```shell
+huggingface-cli download bartowski/wavecoder-ultra-1.1-6.7b-exl2 --revision 6_5 --local-dir wavecoder-ultra-1.1-6.7b-exl2-6.5 --local-dir-use-symlinks False
+```
+
+Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski