| --- |
| datasets: |
| - cognitivecomputations/dolphin |
| - jondurbin/airoboros-2.2.1 |
| - cognitivecomputations/dolphin-coder |
| - teknium/openhermes |
| - ise-uiuc/Magicoder-OSS-Instruct-75K |
| - ise-uiuc/Magicoder-Evol-Instruct-110K |
| - m-a-p/Code-Feedback |
| - m-a-p/CodeFeedback-Filtered-Instruction |
| language: |
| - en |
| license: bigcode-openrail-m |
| quantized_by: bartowski |
| pipeline_tag: text-generation |
| --- |
| |
| ## Exllama v2 Quantizations of dolphincoder-starcoder2-15b |
|
|
| Using <a href="https://github.com/turboderp/exllamav2/">turboderp's ExLlamaV2 v0.0.15 preview</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/cognitivecomputations/dolphincoder-starcoder2-15b |
|
|
| | Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description | |
| | ----- | ---- | ------- | ------ | ------ | ------ | ------------ | |
| | [8_0](https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-exl2/tree/8_0) | 8.0 | 8.0 | 16.6 GB | 17.5 GB | 18.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. | |
| | [6_5](https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-exl2/tree/6_5) | 6.5 | 8.0 | 13.9 GB | 14.9 GB | 16.2 GB | Near unquantized performance at vastly reduced size, **recommended**. | |
| | [5_0](https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-exl2/tree/5_0) | 5.0 | 6.0 | 11.2 GB | 12.2 GB | 13.5 GB | Slightly lower quality vs 6.5. | |
| | [4_25](https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-exl2/tree/4_25) | 4.25 | 6.0 | 9.8 GB | 10.7 GB | 12.0 GB | GPTQ equivalent bits per weight. | |
| | [3_5](https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-exl2/tree/3_5) | 3.5 | 6.0 | 8.4 GB | 9.3 GB | 10.6 GB | Lower quality, not recommended. | |
| |
| ## Download instructions |
| |
| With git: |
| |
| ```shell |
| git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/dolphincoder-starcoder2-15b-exl2 |
| ``` |
| |
| 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 `dolphincoder-starcoder2-15b-exl2`: |
| |
| ```shell |
| mkdir dolphincoder-starcoder2-15b-exl2 |
| huggingface-cli download bartowski/dolphincoder-starcoder2-15b-exl2 --local-dir dolphincoder-starcoder2-15b-exl2 --local-dir-use-symlinks False |
| ``` |
| |
| To download from a different branch, add the `--revision` parameter: |
| |
| Linux: |
| |
| ```shell |
| mkdir dolphincoder-starcoder2-15b-exl2-6_5 |
| huggingface-cli download bartowski/dolphincoder-starcoder2-15b-exl2 --revision 6_5 --local-dir dolphincoder-starcoder2-15b-exl2-6_5 --local-dir-use-symlinks False |
| ``` |
| |
| Windows (which apparently doesn't like _ in folders sometimes?): |
|
|
| ```shell |
| mkdir dolphincoder-starcoder2-15b-exl2-6.5 |
| huggingface-cli download bartowski/dolphincoder-starcoder2-15b-exl2 --revision 6_5 --local-dir dolphincoder-starcoder2-15b-exl2-6.5 --local-dir-use-symlinks False |
| ``` |
