argilla/notus-7b-v1

Text Generation • Updated Dec 5, 2023 • 12.1k • 122

Note Full DPO fine-tuning of `HuggingFaceH4/zephyr-7b-sft-full` using `argilla/ultrafeedback-binarized-preferences`, running in a VM with 8 x A100 40GB

Note Curated version of `openbmb/UltraFeedback` similarly to `HuggingFaceH4/UltraFeedback_binarized` to use the average score of the criterias instead of just taking the critique's score

TheBloke/notus-7B-v1-GGUF

Text Generation • Updated Dec 4, 2023 • 1.24k • 23

Note GGUF-compatible quantized variants of `argilla/notus-7b-v1` generated by TheBloke (thanks <3)

TheBloke/notus-7B-v1-AWQ

Text Generation • Updated Dec 4, 2023 • 94 • 3

Note AWQ-compatible quantized variants of `argilla/notus-7b-v1` generated by TheBloke (thanks <3)

TheBloke/notus-7B-v1-GPTQ

Text Generation • Updated Dec 4, 2023 • 14 • 2

Note GPTQ-compatible quantized variants of `argilla/notus-7b-v1` generated by TheBloke (thanks <3)

alvarobartt/notus-7b-v1-mlx

Text Generation • Updated Dec 27, 2023 • 27 • 1

Note MLX-compatible weights for `argilla/notus-7b-v1` generated by Alvaro Bartolome (alvarobartt) and intended to be used with `mlx-examples`

alvarobartt/notus-7b-v1-mlx-4bit

Text Generation • Updated Dec 27, 2023 • 13

Note MLX-compatible weights quantized to 4-bit for `argilla/notus-7b-v1` generated by Alvaro Bartolome (alvarobartt) and intended to be used with `mlx-examples`

argilla/notus-7b-v1-lora

Text Generation • Updated Dec 4, 2023 • 11 • 7

Note LoRA DPO fine-tuning of `HuggingFaceH4/zephyr-7b-sft-full` using `argilla/ultrafeedback-binarized-preferences`, running in a VM with 8 x A100 40GB

argilla/notus-7b-v1-lora-adapter

Text Generation • Updated Dec 4, 2023 • 3

Note LoRA DPO fine-tuning of `HuggingFaceH4/zephyr-7b-sft-full` using `argilla/ultrafeedback-binarized-preferences`, running in a VM with 8 x A100 40GB. Just contains the LoRA adapters, not the merged model.