measurement.json

README.md

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+---
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- facebook
+- meta
+- pytorch
+- llama
+- llama-3
+- axolotl
+quantized_by: bartowski
+---
+
+## Exllama v2 Quantizations of llama-3-8b-256k-PoSE
+
+Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.20">turboderp's ExLlamaV2 v0.0.20</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/winglian/llama-3-8b-256k-PoSE
+
+## Prompt format
+
+This is a base model.
+
+## Available sizes
+
+
+| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (8K) | VRAM (16k) | VRAM (32k) | Description |
+| ----- | ---- | ------- | ------ | ------ | ------ | ------ | ------------ |
+| [8_0](https://huggingface.co/bartowski/llama-3-8b-256k-PoSE-exl2/tree/8_0) | 8.0 | 8.0 | 10.1 GB | 10.5 GB | 11.5 GB | 13.6 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
+| [6_5](https://huggingface.co/bartowski/llama-3-8b-256k-PoSE-exl2/tree/6_5) | 6.5 | 8.0 | 8.9 GB | 9.3 GB | 10.3 GB | 12.4 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
+| [5_0](https://huggingface.co/bartowski/llama-3-8b-256k-PoSE-exl2/tree/5_0) | 5.0 | 6.0 | 7.7 GB | 8.1 GB | 9.1 GB | 11.2 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
+| [4_25](https://huggingface.co/bartowski/llama-3-8b-256k-PoSE-exl2/tree/4_25) | 4.25 | 6.0 | 7.0 GB | 7.4 GB | 8.4 GB | 10.5 GB | GPTQ equivalent bits per weight, slightly higher quality. |
+| [3_5](https://huggingface.co/bartowski/llama-3-8b-256k-PoSE-exl2/tree/3_5) | 3.5 | 6.0 | 6.4 GB | 6.8 GB | 7.8 GB | 9.9 GB | Lower quality, only use if you have to. |
+
+## Download instructions
+
+With git:
+
+```shell
+git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/llama-3-8b-256k-PoSE-exl2 llama-3-8b-256k-PoSE-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/llama-3-8b-256k-PoSE-exl2 --revision 6_5 --local-dir llama-3-8b-256k-PoSE-exl2-6_5 --local-dir-use-symlinks False
+```
+
+Windows (which apparently doesn't like _ in folders sometimes?):
+
+```shell
+huggingface-cli download bartowski/llama-3-8b-256k-PoSE-exl2 --revision 6_5 --local-dir llama-3-8b-256k-PoSE-exl2-6.5 --local-dir-use-symlinks False
+```
+
+Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski