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XDAN L1 Chat RL V1.3.0bpw H6 EXL2 by LoneStriker

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XDAN L1 Chat RL V1.3.0bpw H6 EXL2 is an open-source language model by LoneStriker. Features: LLM, VRAM: 3GB, Context: 32K, License: cc-by-4.0, Quantized, LLM Explorer Score: 0.11.

  Autotrain compatible   Dataset:intel/orca dpo pairs   Dataset:open-orca/openorca   Dpo   En   Endpoints compatible   Exl2   Mistral   Openorca   Quantized   Region:us   Safetensors   Self-think   Xdan-ai
Model Card on HF 🤗: https://huggingface.co/LoneStriker/xDAN-L1-Chat-RL-v1-3.0bpw-h6-exl2 

XDAN L1 Chat RL V1.3.0bpw H6 EXL2 Benchmarks

LLME Score: 0.1109
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
XDAN L1 Chat RL V1.3.0bpw H6 EXL2 (LoneStriker/xDAN-L1-Chat-RL-v1-3.0bpw-h6-exl2)
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XDAN L1 Chat RL V1.3.0bpw H6 EXL2 Parameters and Internals

Model Type 
Text generation, Humanalities, Coding, Writing
Supported Languages 
en (High proficiency)
Training Details 
Data Sources:
Open-Orca/OpenOrca, Intel/orca_dpo_pairs, Privately Crafted Dataset
Input Output 
Input Format:
Prompt Template (Alpaca)
Accepted Modalities:
Text
Output Format:
Text response
Performance Tips:
Expert in worldly knowledge, skilled in employing a probing questioning strategy, and carefully considers each step before providing answers.
LLM NameXDAN L1 Chat RL V1.3.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/xDAN-L1-Chat-RL-v1-3.0bpw-h6-exl2 
Required VRAM3 GB
Updated2025-09-23
MaintainerLoneStriker
Model Typemistral
Model Files  3.0 GB
Supported Languagesen
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licensecc-by-4.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/xDAN-L1-Chat-RL-v1-3.0bpw-h6-exl2.

Rank the XDAN L1 Chat RL V1.3.0bpw 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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