NitralAI's measurement.json was used for quantization
Sekhmet_Gimmel-L3.1-8B-v0.3
exllamav2 quant for ChaoticNeutrals/Sekhmet_Gimmel-L3.1-8B-v0.3
Original model information:
Sekhmet_Gimmel [v0.3] - Designed to provide robust solutions to complex problems while offering support and insightful guidance.
GGUF Quant's available thanks to: Soon <3 GGUF Here
Additional GGUF Quant's available thanks to: Soon <3 GGUF Here
EXL2 Quant: 5bpw Exl2 Here
Recomended ST Presets: Sekhmet Presets(Same as Hathor's)
Training Note: Sekhmet_Gimmel [v0.3] is trained on: 1.5 epoch's of Private - Hathor_0.85 Instructions, small subset of creative writing data, roleplaying chat pairs over Sekhmet_Aleph-L3.1-8B-v0.2
Additional Note's: This model was quickly assembled to provide users with a relatively uncensored alternative to L3.1 Instruct, featuring extended context capabilities. I do not expect it to match the performance levels demonstrated by Hathor_Tahsin version 0.9.
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Model tree for Slvcxc/Sekhmet_Gimmel-L3.1-8B-v0.3-8.0bpw-h8-exl2
Base model
ChaoticNeutrals/Sekhmet_Gimmel-L3.1-8B-v0.3