measurement.json

README.md

@@ -0,0 +1,126 @@
+---
+pipeline_tag: text-generation
+inference: 
+  parameters:
+    temperature: 0.2
+    top_p: 0.95
+widget:
+- text: 'def print_hello_world():'
+  example_title: Hello world
+  group: Python
+datasets:
+- bigcode/the-stack-v2-train
+license: bigcode-openrail-m
+library_name: transformers
+tags:
+- code
+model-index:
+- name: starcoder2-7b
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      name: CruxEval-I
+      type: cruxeval-i
+    metrics:
+    - type: pass@1
+      value: 34.6
+  - task:
+      type: text-generation
+    dataset:
+      name: DS-1000
+      type: ds-1000
+    metrics:
+    - type: pass@1
+      value: 27.8
+  - task:
+      type: text-generation
+    dataset:
+      name: GSM8K (PAL)
+      type: gsm8k-pal
+    metrics:
+    - type: accuracy
+      value: 40.4
+  - task:
+      type: text-generation
+    dataset:
+      name: HumanEval+
+      type: humanevalplus
+    metrics:
+    - type: pass@1
+      value: 29.9
+  - task:
+      type: text-generation
+    dataset:
+      name: HumanEval
+      type: humaneval
+    metrics:
+    - type: pass@1
+      value: 35.4
+  - task:
+      type: text-generation
+    dataset:
+      name: RepoBench-v1.1
+      type: repobench-v1.1
+    metrics:
+    - type: edit-smiliarity
+      value: 72.07
+quantized_by: bartowski
+---
+
+## Exllama v2 Quantizations of starcoder2-7b
+
+Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.14">turboderp's ExLlamaV2 v0.0.14</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/bigcode/starcoder2-7b
+
+| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
+| ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
+| [8_0](https://huggingface.co/bartowski/starcoder2-7b-exl2/tree/8_0) | 8.0 | 8.0 | 8.4 GB | 9.8 GB | 11.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
+| [6_5](https://huggingface.co/bartowski/starcoder2-7b-exl2/tree/6_5) | 6.5 | 8.0 | 7.2 GB | 8.6 GB | 10.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
+| [5_0](https://huggingface.co/bartowski/starcoder2-7b-exl2/tree/5_0) | 5.0 | 6.0 | 6.0 GB | 7.4 GB |  9.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
+| [4_25](https://huggingface.co/bartowski/starcoder2-7b-exl2/tree/4_25) | 4.25 | 6.0 | 5.3 GB | 6.7 GB | 8.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
+| [3_5](https://huggingface.co/bartowski/starcoder2-7b-exl2/tree/3_5) | 3.5 | 6.0 | 4.7 GB | 6.1 GB | 8.1 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/starcoder2-7b-exl2 starcoder2-7b-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 `starcoder2-7b-exl2`:
+
+```shell
+mkdir starcoder2-7b-exl2
+huggingface-cli download bartowski/starcoder2-7b-exl2 --local-dir starcoder2-7b-exl2 --local-dir-use-symlinks False
+```
+
+To download from a different branch, add the `--revision` parameter:
+
+Linux:
+
+```shell
+mkdir starcoder2-7b-exl2-6_5
+huggingface-cli download bartowski/starcoder2-7b-exl2 --revision 6_5 --local-dir starcoder2-7b-exl2-6_5 --local-dir-use-symlinks False
+```
+
+Windows (which apparently doesn't like _ in folders sometimes?):
+
+```shell
+mkdir starcoder2-7b-exl2-6.5
+huggingface-cli download bartowski/starcoder2-7b-exl2 --revision 6_5 --local-dir starcoder2-7b-exl2-6.5 --local-dir-use-symlinks False
+```
+
+Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski