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DaringLotus V2.10.7B 3bpw EXL2 by lucyknada

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DaringLotus V2.10.7B 3bpw EXL2 is an open-source language model by lucyknada. Features: 10.7b LLM, VRAM: 4.3GB, Context: 4K, Quantized, Merged, LLM Explorer Score: 0.11.

  Merged Model   Endpoints compatible   Exl2   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/lucyknada/DaringLotus-v2-10.7B-3bpw-exl2 

DaringLotus V2.10.7B 3bpw EXL2 Benchmarks

LLME Score: 0.11163
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DaringLotus V2.10.7B 3bpw EXL2 (lucyknada/DaringLotus-v2-10.7B-3bpw-exl2)
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DaringLotus V2.10.7B 3bpw EXL2 Parameters and Internals

Additional Notes 
The model is favored for generating prose, having good prose and relative coherency. It's primarily used for role-playing (RP) scenarios and is compared to other models in the 11-13 billion parameter range.
Training Details 
Methodology:
The model is a merge of multiple models including Frostmaid, FrostWind, SolarDoc, and Noromaid, using techniques such as 'slerp gradient' and 'density gradient weight'.
LLM NameDaringLotus V2.10.7B 3bpw EXL2
Repository 🤗https://huggingface.co/lucyknada/DaringLotus-v2-10.7B-3bpw-exl2 
Merged ModelYes
Model Size10.7b
Required VRAM4.3 GB
Updated2026-05-13
Maintainerlucyknada
Model Typellama
Model Files  4.3 GB
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than lucyknada/DaringLotus-v2-10.7B-3bpw-exl2.

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