Yi 34B 200K Alpaca Rpv3 4bpw Hb6 EXL2 by zgce

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  Autotrain compatible   Custom code   Exl2   Quantized   Region:us   Sharded   Tensorflow   Yi

Yi 34B 200K Alpaca Rpv3 4bpw Hb6 EXL2 Benchmarks

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 Alpaca Rpv3 4bpw Hb6 EXL2 (zgce/Yi-34b-200K-alpaca-rpv3-4bpw-hb6-exl2)

Yi 34B 200K Alpaca Rpv3 4bpw Hb6 EXL2 Parameters and Internals

Model Type 
exl2 format model
Additional Notes 
Test for exllamav2 model. Conversion of Yi-34b model using exl2 format. Requires adding `--trust-remote-code` to CMD_FLAGS.txt and using ExLlamav2_HF to load model.
LLM NameYi 34B 200K Alpaca Rpv3 4bpw Hb6 EXL2
Repository ๐Ÿค—https://huggingface.co/zgce/Yi-34b-200K-alpaca-rpv3-4bpw-hb6-exl2 
Model Size34b
Required VRAM18.7 GB
Updated2024-12-26
Maintainerzgce
Model TypeYi
Model Files  8.5 GB: 1-of-3   8.6 GB: 2-of-3   1.6 GB: 3-of-3
Quantization Typeexl2
Model ArchitectureYiForCausalLM
Licensemit
Context Length200000
Model Max Length200000
Transformers Version4.35.0
Tokenizer ClassYiTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than zgce/Yi-34b-200K-alpaca-rpv3-4bpw-hb6-exl2.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217