measurement.json

README.md

@@ -0,0 +1,63 @@
+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- llama
+- open-llama
+- mpt
+- model-fusion
+library_name: transformers
+quantized_by: bartowski
+---
+
+## Exllama v2 Quantizations of FuseLLM-7B
+
+Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.
+
+# The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
+
+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/Wanfq/FuseLLM-7B
+
+No GQA - VRAM requirements will be higher
+
+| Branch | Bits | lm_head bits | Size (4k) | Size (16k) | Description |
+| -------------------------------------------------------------- | ---- | ------------ | --------- | ---------- | ----------- |
+| [8_0](https://huggingface.co/Bartowski/FuseLLM-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/FuseLLM-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/FuseLLM-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/FuseLLM-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/FuseLLM-7B-exl2/tree/3_5) | 3.5 | 6.0 | 5.9 GB | 12.1 GB | Lower quality, not recommended. |
+
+VRAM requirements listed for both 4k context and 16k context since without GQA the differences are massive (6.2 GB)
+
+## Download instructions
+
+With git:
+
+```shell
+git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/FuseLLM-7B-exl2 FuseLLM-7B-exl2-6_5
+```
+
+With huggingface hub (credit to TheBloke for instructions):
+
+```shell
+pip3 install huggingface-hub
+```
+
+To download the `main` (only useful if you only care about measurement.json) branch to a folder called `FuseLLM-7B-exl2`:
+
+```shell
+mkdir FuseLLM-7B-exl2
+huggingface-cli download bartowski/FuseLLM-7B-exl2 --local-dir FuseLLM-7B-exl2 --local-dir-use-symlinks False
+```
+
+To download from a different branch, add the `--revision` parameter:
+
+```shell
+mkdir FuseLLM-7B-exl2-6_5
+huggingface-cli download bartowski/FuseLLM-7B-exl2 --revision 6_5 --local-dir FuseLLM-7B-exl2-6_5 --local-dir-use-symlinks False
+```