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Yi 34B 200K RPMerge AWQ by LoneStriker

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Yi 34B 200K RPMerge AWQ Benchmarks

LLME Score: 0.19296
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 RPMerge AWQ Parameters and Internals

LLM NameYi 34B 200K RPMerge AWQ
Repository 🤗https://huggingface.co/LoneStriker/Yi-34B-200K-RPMerge-AWQ 
Model Size34b
Required VRAM19.2 GB
Updated2024-09-16
MaintainerLoneStriker
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   4.3 GB: 4-of-4
Supported Languagesen
AWQ QuantizationYes
Quantization Typeexl2|awq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64002
Torch Data Typefloat16
Yi 34B 200K RPMerge AWQ (LoneStriker/Yi-34B-200K-RPMerge-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Yi-34B-200K-RPMerge-AWQ.

Rank the Yi 34B 200K RPMerge AWQ Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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