measurement.json

README.md

@@ -0,0 +1,71 @@
+---
+license: llama2
+library_name: transformers
+tags:
+- code
+model-index:
+- name: Code Millenials
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      type: openai_humaneval
+      name: HumanEval
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 0.7621
+      verified: false
+quantized_by: bartowski
+pipeline_tag: text-generation
+---
+
+## Exllama v2 Quantizations of code-millenials-13b
+
+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/budecosystem/code-millenials-13b
+
+No GQA - VRAM requirements will be higher
+
+| Branch | Bits | lm_head bits | Size (4k) | Size (16k) | Description |
+| ----- | ---- | ------- | ------ | ------ | ------------ |
+| [6_5](https://huggingface.co/Bartowski/code-millenials-13b-exl2/tree/6_5) | 6.5  | 8.0 | 14.4 GB | 24.0 GB | Near unquantized performance at vastly reduced size, **recommended**. |
+| [5_0](https://huggingface.co/Bartowski/code-millenials-13b-exl2/tree/5_0) | 5.0  | 6.0 | 12.1 GB | 21.7 GB | Slightly lower perplexity vs 6.5, can fit in 12 GB card with even lower context. |
+| [4_25](https://huggingface.co/Bartowski/code-millenials-13b-exl2/tree/4_25) | 4.25 | 6.0 | 10.9 GB | 20.5 GB | GPTQ equivalent bits per weight. |
+| [3_75](https://huggingface.co/Bartowski/code-millenials-13b-exl2/tree/3_75) | 3.75  | 6.0 | 10.1 GB | 19.7 GB | Lower quality but still generally usable. |
+| [3_0](https://huggingface.co/Bartowski/code-millenials-13b-exl2/tree/3_0) | 3.0  | 6.0 |  9.1 GB | 18.7 GB | Very low quality, not recommended unless you have to. |
+
+VRAM requirements listed for both 4k context and 16k context since without GQA the differences are massive (9.6 GB)
+
+## Download instructions
+
+With git:
+
+```shell
+git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/code-millenials-13b-exl2 code-millenials-13b-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 `code-millenials-13b-exl2`:
+
+```shell
+mkdir code-millenials-13b-exl2
+huggingface-cli download bartowski/code-millenials-13b-exl2 --local-dir code-millenials-13b-exl2 --local-dir-use-symlinks False
+```
+
+To download from a different branch, add the `--revision` parameter:
+
+```shell
+mkdir code-millenials-13b-exl2-6_5
+huggingface-cli download bartowski/code-millenials-13b-exl2 --revision 6_5 --local-dir code-millenials-13b-exl2-6_5 --local-dir-use-symlinks False
+```