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L3 70B Euryale V2.1 EXL2 4.0bpw by bullerwins

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Model Card on HF 🤗: https://huggingface.co/bullerwins/L3-70B-Euryale-v2.1_exl2_4.0bpw 

L3 70B Euryale V2.1 EXL2 4.0bpw Benchmarks

LLME Score: 0.15703
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 4.0bpw (bullerwins/L3-70B-Euryale-v2.1_exl2_4.0bpw)
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L3 70B Euryale V2.1 EXL2 4.0bpw Parameters and Internals

Model Type 
Language Model
Additional Notes 
- Trained using LoRA Fine-Tune due to high cost of FFT. - Testing settings and recommendations: - Temperature: 1.17 - min_p: 0.075 - Repetition Penalty: 1.10 - Suggested SillyTavern instruct settings: - Context Template: Llama-3-Instruct-Names - Instruct Presets: Euryale-v2.1-Llama-3-Instruct
Supported Languages 
English (Full Support)
Training Details 
Data Sources:
Same Dataset used as Stheno v3.2
Methodology:
LoRA Fine-Tune
Hardware Used:
8x H100 SXMs
LLM NameL3 70B Euryale V2.1 EXL2 4.0bpw
Repository 🤗https://huggingface.co/bullerwins/L3-70B-Euryale-v2.1_exl2_4.0bpw 
Model Size70b
Required VRAM37.1 GB
Updated2025-11-07
Maintainerbullerwins
Model Typellama
Model Files  8.5 GB: 1-of-5   8.5 GB: 2-of-5   8.5 GB: 3-of-5   8.5 GB: 4-of-5   3.1 GB: 5-of-5
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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Note: green Score (e.g. "73.2") means that the model is better than bullerwins/L3-70B-Euryale-v2.1_exl2_4.0bpw.

Rank the L3 70B Euryale V2.1 EXL2 4.0bpw 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 v20241124
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