Exllama v2 Quantizations of Magic-Dolphin-7b
Using turboderp's ExLlamaV2 v0.0.14 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/InferenceIllusionist/Magic-Dolphin-7b
Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
---|---|---|---|---|---|---|
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 | 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 | 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 | 4.25 | 6.0 | 5.3 GB | 6.7 GB | 8.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
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:
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Magic-Dolphin-7b-exl2 Magic-Dolphin-7b-exl2-6_5
With huggingface hub (credit to TheBloke for instructions):
pip3 install huggingface-hub
To download the main
(only useful if you only care about measurement.json) branch to a folder called Magic-Dolphin-7b-exl2
:
mkdir Magic-Dolphin-7b-exl2
huggingface-cli download bartowski/Magic-Dolphin-7b-exl2 --local-dir Magic-Dolphin-7b-exl2 --local-dir-use-symlinks False
To download from a different branch, add the --revision
parameter:
Linux:
mkdir Magic-Dolphin-7b-exl2-6_5
huggingface-cli download bartowski/Magic-Dolphin-7b-exl2 --revision 6_5 --local-dir Magic-Dolphin-7b-exl2-6_5 --local-dir-use-symlinks False
Windows (which apparently doesn't like _ in folders sometimes?):
mkdir Magic-Dolphin-7b-exl2-6.5
huggingface-cli download bartowski/Magic-Dolphin-7b-exl2 --revision 6_5 --local-dir Magic-Dolphin-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
Model tree for bartowski/Magic-Dolphin-7b-exl2
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard65.780
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard85.610
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.640
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard58.010
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard79.640
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard51.180