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Yi 34B 200K Elx2 39bpw by brucethemoose

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  Custom code   En   Pytorch   Region:us   Sharded   Tensorflow   Yi
Model Card on HF 🤗: https://huggingface.co/brucethemoose/Yi-34B-200K-elx2-39bpw 

Yi 34B 200K Elx2 39bpw Benchmarks

LLME Score: 0.11648
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi 34B 200K Elx2 39bpw (brucethemoose/Yi-34B-200K-elx2-39bpw)
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Yi 34B 200K Elx2 39bpw Parameters and Internals

Model Type 
text generation
Additional Notes 
Yi-30B-200K was quantized to 3.9bpw, allowing for higher context lengths on GPUs.
Supported Languages 
en (high)
Training Details 
Data Sources:
wikitext, prompt formatting, RP stories
Input Output 
Performance Tips:
Use with --enable-remote-code in text-gen-ui. Load with Exllamav2_HF, use 8-bit cache, and *disable* the `fast_tokenizer` option. The TFS preset works well with Yi.
LLM NameYi 34B 200K Elx2 39bpw
Repository 🤗https://huggingface.co/brucethemoose/Yi-34B-200K-elx2-39bpw 
Model Size34b
Required VRAM17.6 GB
Updated2025-12-16
Maintainerbrucethemoose
Model TypeYi
Model Files  4.2 GB: 1-of-5   4.3 GB: 2-of-5   4.2 GB: 3-of-5   4.3 GB: 4-of-5   0.6 GB: 5-of-5
Supported Languagesen
Model ArchitectureYiForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.34.0
Tokenizer ClassYiTokenizer
Vocabulary Size64000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than brucethemoose/Yi-34B-200K-elx2-39bpw.

Rank the Yi 34B 200K Elx2 39bpw 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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