DaringLotus V2.10.7B Bpw500 H6 EXL2 by zaq-hack

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DaringLotus V2.10.7B Bpw500 H6 EXL2 is an open-source language model by zaq-hack. Features: 10.7b LLM, VRAM: 6.9GB, Context: 4K, Quantized, Merged, LLM Explorer Score: 0.11.

  Merged Model   Autotrain compatible   Endpoints compatible   Exl2   Llama   Quantized   Region:us   Safetensors

DaringLotus V2.10.7B Bpw500 H6 EXL2 Benchmarks

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 Bpw500 H6 EXL2 (zaq-hack/DaringLotus-v2-10.7b-bpw500-h6-exl2)
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DaringLotus V2.10.7B Bpw500 H6 EXL2 Parameters and Internals

Model Type 
text generation
Additional Notes 
This model is part of a merge and features contributions from several other models: Frostmaid, FrostWind, SolarDoc, Noromaid, and a medical model using frankenmerge techniques. It is particularly noted for generating prose with varying degrees of coherence.
LLM NameDaringLotus V2.10.7B Bpw500 H6 EXL2
Repository ๐Ÿค—https://huggingface.co/zaq-hack/DaringLotus-v2-10.7b-bpw500-h6-exl2 
Merged ModelYes
Model Size10.7b
Required VRAM6.9 GB
Updated2025-09-23
Maintainerzaq-hack
Model Typellama
Model Files  6.9 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 zaq-hack/DaringLotus-v2-10.7b-bpw500-h6-exl2.

Rank the DaringLotus V2.10.7B Bpw500 H6 EXL2 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a