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Yi 34B 8.0bpw H8 EXL2 by LoneStriker

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Yi 34B 8.0bpw H8 EXL2 is an open-source language model by LoneStriker. Features: 34b LLM, VRAM: 34.9GB, Context: 4K, License: other, Quantized, LLM Explorer Score: 0.1.

  Custom code   Exl2   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Yi
Model Card on HF 🤗: https://huggingface.co/LoneStriker/Yi-34B-8.0bpw-h8-exl2 

Yi 34B 8.0bpw H8 EXL2 Benchmarks

LLME Score: 0.1007
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi 34B 8.0bpw H8 EXL2 (LoneStriker/Yi-34B-8.0bpw-h8-exl2)
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Yi 34B 8.0bpw H8 EXL2 Parameters and Internals

LLM NameYi 34B 8.0bpw H8 EXL2
Repository 🤗https://huggingface.co/LoneStriker/Yi-34B-8.0bpw-h8-exl2 
Model Size34b
Required VRAM34.9 GB
Updated2026-05-01
MaintainerLoneStriker
Model TypeYi
Model Files  8.6 GB: 1-of-5   8.6 GB: 2-of-5   8.5 GB: 3-of-5   8.5 GB: 4-of-5   0.7 GB: 5-of-5
Quantization Typeexl2
Model ArchitectureYiForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.34.0
Tokenizer ClassYiTokenizer
Vocabulary Size64000
Torch Data Typebfloat16

Best Alternatives to Yi 34B 8.0bpw H8 EXL2

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...lpaca Rpv3 Scipy 4bpw Hb6 EXL2195K / 18.7 GB52
...200K Alpaca Rpv3 4bpw Hb6 EXL2195K / 18.7 GB42
Yi 34B 200K 4.65bpw H6 EXL2195K / 20.8 GB106
Yi 34B 200K 8.0bpw H8 EXL2195K / 34.8 GB73
Yi 34B 200K 4.0bpw H6 EXL2195K / 18.1 GB53
Yi 34B 200K 5.0bpw H6 EXL2195K / 22.3 GB61
Deepsex 34B 4bpw H8 EXL24K / 18.1 GB275
Deepsex 34B 4bpw H6 EXL24K / 18.1 GB84
Yi 34B 5.0bpw H6 EXL24K / 22.2 GB13
Yi 34B 4.0bpw H6 EXL24K / 18.1 GB41
Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Yi-34B-8.0bpw-h8-exl2.

Rank the Yi 34B 8.0bpw H8 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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