measurement.json
Browse files- README.md +129 -0
- measurement.json +0 -0
README.md
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---
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pipeline_tag: text-generation
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inference: true
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widget:
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- text: 'def print_hello_world():'
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example_title: Hello world
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group: Python
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datasets:
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- bigcode/the-stack-v2-train
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license: bigcode-openrail-m
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library_name: transformers
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tags:
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- code
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model-index:
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- name: starcoder2-3b
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results:
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- task:
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type: text-generation
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dataset:
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name: CruxEval-I
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type: cruxeval-i
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metrics:
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- type: pass@1
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value: 32.7
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- task:
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type: text-generation
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dataset:
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name: DS-1000
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type: ds-1000
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metrics:
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- type: pass@1
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value: 25.0
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- task:
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type: text-generation
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dataset:
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name: GSM8K (PAL)
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type: gsm8k-pal
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metrics:
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- type: accuracy
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value: 27.7
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- task:
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type: text-generation
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dataset:
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name: HumanEval+
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type: humanevalplus
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metrics:
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- type: pass@1
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value: 27.4
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- task:
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type: text-generation
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dataset:
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name: HumanEval
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type: humaneval
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metrics:
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- type: pass@1
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value: 31.7
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- task:
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type: text-generation
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dataset:
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name: RepoBench-v1.1
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type: repobench-v1.1
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metrics:
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- type: edit-smiliarity
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value: 71.19
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quantized_by: bartowski
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---
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## Exllama v2 Quantizations of starcoder2-3b
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Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19">turboderp's ExLlamaV2 v0.0.19</a> for quantization.
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<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
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Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
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Conversion was done using the default calibration dataset.
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Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6.
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Original model: https://huggingface.co/bigcode/starcoder2-3b
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<a href="https://huggingface.co/bartowski/starcoder2-3b-exl2/tree/8_0">8.0 bits per weight</a>
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<a href="https://huggingface.co/bartowski/starcoder2-3b-exl2/tree/6_5">6.5 bits per weight</a>
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<a href="https://huggingface.co/bartowski/starcoder2-3b-exl2/tree/5_0">5.0 bits per weight</a>
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<a href="https://huggingface.co/bartowski/starcoder2-3b-exl2/tree/4_25">4.25 bits per weight</a>
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<a href="https://huggingface.co/bartowski/starcoder2-3b-exl2/tree/3_5">3.5 bits per weight</a>
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## Download instructions
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With git:
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```shell
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git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/starcoder2-3b-exl2
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```
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With huggingface hub (credit to TheBloke for instructions):
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```shell
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pip3 install huggingface-hub
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```
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To download the `main` (only useful if you only care about measurement.json) branch to a folder called `starcoder2-3b-exl2`:
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```shell
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mkdir starcoder2-3b-exl2
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huggingface-cli download bartowski/starcoder2-3b-exl2 --local-dir starcoder2-3b-exl2 --local-dir-use-symlinks False
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```
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To download from a different branch, add the `--revision` parameter:
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Linux:
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```shell
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mkdir starcoder2-3b-exl2-6_5
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huggingface-cli download bartowski/starcoder2-3b-exl2 --revision 6_5 --local-dir starcoder2-3b-exl2-6_5 --local-dir-use-symlinks False
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```
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Windows (which apparently doesn't like _ in folders sometimes?):
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```shell
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mkdir starcoder2-3b-exl2-6.5
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huggingface-cli download bartowski/starcoder2-3b-exl2 --revision 6_5 --local-dir starcoder2-3b-exl2-6.5 --local-dir-use-symlinks False
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```
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measurement.json
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