measurement.json

README.md

@@ -0,0 +1,66 @@
+---
+pipeline_tag: text-generation
+license: other
+language:
+- en
+- zh
+tags:
+- math
+quantized_by: bartowski
+---
+
+## Exllama v2 Quantizations of internlm2-math-20b-llama
+
+Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.12">turboderp's ExLlamaV2 v0.0.12</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/internlm/internlm2-math-20b
+
+| Branch                                                         | Bits | lm_head bits | Size    | Description                                                                 |
+| -------------------------------------------------------------- | ---- | ------------ | ------- | --------------------------------------------------------------------------- |
+| [6_5](https://huggingface.co/Bartowski/internlm2-math-20b-llama-exl2/tree/6_5)   | 6.5  | 8.0          | 21.0 GB | Near unquantized performance at vastly reduced size, **recommended**.       |
+| [4_25](https://huggingface.co/Bartowski/internlm2-math-20b-llama-exl2/tree/4_25) | 4.25 | 6.0          | 15.2 GB | GPTQ equivalent bits per weight, slightly higher quality.                   |
+| [3_5](https://huggingface.co/Bartowski/internlm2-math-20b-llama-exl2/tree/3_5)   | 3.5  | 6.0          | 13.8 GB | Lower quality, only use if you have to.                                     |
+| [3_0](https://huggingface.co/Bartowski/internlm2-math-20b-llama-exl2/tree/3_0)   | 3.0  | 6.0          | 12.5 GB | Very low quality. Usable on 12GB if you reduce context or use 8 bit cache.  |
+
+All VRAM requirements estimated from 16k context. For 32k context add ~2 GB.
+
+## Download instructions
+
+With git:
+
+```shell
+git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/internlm2-math-20b-llama-exl2 internlm2-math-20b-llama-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 `internlm2-math-20b-llama-exl2`:
+
+```shell
+mkdir internlm2-math-20b-llama-exl2
+huggingface-cli download bartowski/internlm2-math-20b-llama-exl2 --local-dir internlm2-math-20b-llama-exl2 --local-dir-use-symlinks False
+```
+
+To download from a different branch, add the `--revision` parameter:
+
+Linux:
+
+```shell
+mkdir internlm2-math-20b-llama-exl2-6_5
+huggingface-cli download bartowski/internlm2-math-20b-llama-exl2 --revision 6_5 --local-dir internlm2-math-20b-llama-exl2-6_5 --local-dir-use-symlinks False
+```
+
+Windows (which apparently doesn't like _ in folders sometimes?):
+
+```shell
+mkdir internlm2-math-20b-llama-exl2-6.5
+huggingface-cli download bartowski/internlm2-math-20b-llama-exl2 --revision 6_5 --local-dir internlm2-math-20b-llama-exl2-6.5 --local-dir-use-symlinks False
+```