Small models 8bpw EXL2 quants
Collection
8bpw EXL2 Quants of small models (usually 7-8B) • 8 items • Updated
Configuration Parsing Warning:In config.json: "quantization_config.bits" must be an integer
Configuration Parsing Warning:In config.json: "quantization_config.bits" must be less than or equal to 8
L3-SthenoMaidBlackroot-8B-V1 - EXL2 8.05bpw
This is a 8bpw EXL2 quant of bluuwhale/L3-SthenoMaidBlackroot-8B-V1
This quant was made using exllamav2-0.0.21 with default dataset.
I tested this quant shortly in some random RPs (including one over 8k context - with RoPE scaling as recommended in webui, maybe with alpha_value a bit higher) and it seems to work fine.
Prompt Templates
Seems to use llama3 prompt template.
Original readme below
model-out
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Stock merge method using Sao10K/L3-8B-Stheno-v3.2 as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Sao10K/L3-8B-Stheno-v3.2
- model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
- model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
merge_method: model_stock
base_model: Sao10K/L3-8B-Stheno-v3.2
dtype: float16
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