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Yi 34B 200K RPMerge EXL2 40bpw by brucethemoose

 »  All LLMs  »  brucethemoose  »  Yi 34B 200K RPMerge EXL2 40bpw   URL Share it on

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  Merged Model   Arxiv:2306.01708   Arxiv:2311.03099   Autotrain compatible   En   Endpoints compatible   Exl2   Exllama   Exllamav2   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Yi
Model Card on HF 🤗: https://huggingface.co/brucethemoose/Yi-34B-200K-RPMerge-exl2-40bpw 

Yi 34B 200K RPMerge EXL2 40bpw Benchmarks

LLME Score: 0.17762
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 EXL2 40bpw (brucethemoose/Yi-34B-200K-RPMerge-exl2-40bpw)

Yi 34B 200K RPMerge EXL2 40bpw Parameters and Internals

Model Type 
merge
Additional Notes 
Quantized with default exl2 quantization, exploring benefits/drawbacks of long context (32K) quantization.
Supported Languages 
en (proficient)
LLM NameYi 34B 200K RPMerge EXL2 40bpw
Repository 🤗https://huggingface.co/brucethemoose/Yi-34B-200K-RPMerge-exl2-40bpw 
Merged ModelYes
Model Size34b
Required VRAM18.1 GB
Updated2024-12-22
Maintainerbrucethemoose
Model Typellama
Model Files  4.3 GB: 1-of-5   4.3 GB: 2-of-5   4.3 GB: 3-of-5   4.3 GB: 4-of-5   0.9 GB: 5-of-5
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64002
Torch Data Typebfloat16

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Yi 34B 200K RPMerge195K / 68.9 GB48760
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Opus V1 34B 4.0bpw H6 EXL2195K / 18 GB51
34B Beta 5.0bpw H6 EXL2195K / 22.3 GB91
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Note: green Score (e.g. "73.2") means that the model is better than brucethemoose/Yi-34B-200K-RPMerge-exl2-40bpw.

Rank the Yi 34B 200K RPMerge EXL2 40bpw Capabilities

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Release v20241217
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