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Yi 6B 200K AEZAKMI V2 6bpw EXL2 by adamo1139

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Yi 6B 200K AEZAKMI V2 6bpw EXL2 is an open-source language model by adamo1139. Features: 6b LLM, VRAM: 4.9GB, Context: 195K, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

  Autotrain compatible   Endpoints compatible   Exl2   Llama   Quantized   Region:us   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/adamo1139/Yi-6B-200K-AEZAKMI-v2-6bpw-exl2 

Yi 6B 200K AEZAKMI V2 6bpw EXL2 Benchmarks

LLME Score: 0.10745
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi 6B 200K AEZAKMI V2 6bpw EXL2 (adamo1139/Yi-6B-200K-AEZAKMI-v2-6bpw-exl2)
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Yi 6B 200K AEZAKMI V2 6bpw EXL2 Parameters and Internals

LLM NameYi 6B 200K AEZAKMI V2 6bpw EXL2
Repository 🤗https://huggingface.co/adamo1139/Yi-6B-200K-AEZAKMI-v2-6bpw-exl2 
Model Size6b
Required VRAM4.9 GB
Updated2025-09-23
Maintaineradamo1139
Model Typellama
Model Files  4.3 GB: 1-of-2   0.6 GB: 2-of-2
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length200000
Model Max Length200000
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than adamo1139/Yi-6B-200K-AEZAKMI-v2-6bpw-exl2.

Rank the Yi 6B 200K AEZAKMI V2 6bpw 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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