L3 70B Euryale V2.1 EXL2 2.3bpw by DeusImperator

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L3 70B Euryale V2.1 EXL2 2.3bpw Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
L3 70B Euryale V2.1 EXL2 2.3bpw (DeusImperator/L3-70B-Euryale-v2.1_exl2_2.3bpw)

L3 70B Euryale V2.1 EXL2 2.3bpw Parameters and Internals

Model Type 
text generation
Additional Notes 
Very creative, lots of unique swipes. Is not restrictive during roleplays. Feels like a big brained version of Stheno.
Supported Languages 
languages_supported (en), proficiency ()
Training Details 
Data Sources:
Same Dataset used as Stheno v3.2
Methodology:
LoRA Fine-Tune -> FFT is simply too expensive.
Context Length:
13500
Hardware Used:
8x H100 SXMs
Input Output 
Performance Tips:
For longer context (over 8k) it seems better to use bigger alpha_value in RoPE scaling than recommended in webui (for example at least 2.5 for 12k context).
LLM NameL3 70B Euryale V2.1 EXL2 2.3bpw
Repository ๐Ÿค—https://huggingface.co/DeusImperator/L3-70B-Euryale-v2.1_exl2_2.3bpw 
Model Size70b
Required VRAM22.6 GB
Updated2025-06-01
MaintainerDeusImperator
Model Typellama
Model Files  8.6 GB: 1-of-3   8.5 GB: 2-of-3   5.5 GB: 3-of-3
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227