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RichardErkhov/mjm4dl_-_data_caption_price64_e4_cosine_sched-exl2
mjm4dl_-_data_caption_price64_e4_cosine_sched-exl2 is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
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Updated Jan 18, 2025
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From the Hugging Face model README
Quantization made by Richard Erkhov.
data_caption_price64_e4_cosine_sched - EXL2
| Branch | Bits | Description | | ----- | ---- | ------- | ------ | ------ | ------ | ------ | ------------ | | 8_0 | 8.0 | Maximum quality that ExLlamaV2 can produce, near unquantized performance. | | 6_5 | 6.5 | Very similar to 8.0, good tradeoff of size vs performance, recommended. | | 5_0 | 5.0 | Slightly lower quality vs 6.5, but usable on 8GB cards. | | 4_25 | 4.25 | GPTQ equivalent bits per weight, slightly higher quality. | | 3_5 | 3.5 | Lower quality, only use if you have to. |
With git:
git clone --single-branch --branch 6_5 https://huggingface.co/mjm4dl_-_data_caption_price64_e4_cosine_sched-exl2 data_caption_price64_e4_cosine_sched-6_5
With huggingface hub:
pip3 install huggingface-hub
To download a specific branch, use the --revision parameter. For example, to download the 6.5 bpw branch:
Linux:
huggingface-cli download mjm4dl_-_data_caption_price64_e4_cosine_sched-exl2 --revision 6_5 --local-dir data_caption_price64_e4_cosine_sched-6_5 --local-dir-use-symlinks False
Windows (which apparently doesn't like _ in folders sometimes?):
huggingface-cli download mjm4dl_-_data_caption_price64_e4_cosine_sched-exl2 --revision 6_5 --local-dir data_caption_price64_e4_cosine_sched-6.5 --local-dir-use-symlinks False
base_model: unsloth/Qwen2.5-0.5B-Instruct language:
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.