Yi 6B 200K AEZAKMI V2 6bpw EXL2 by adamo1139

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  Autotrain compatible   Endpoints compatible   Exl2   Llama   Quantized   Region:us   Sharded   Tensorflow

Yi 6B 200K AEZAKMI V2 6bpw 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 6B 200K AEZAKMI V2 6bpw EXL2 Parameters and Internals

LLM NameYi 6B 200K AEZAKMI V2 6bpw EXL2
Repository ๐Ÿค—https://huggingface.co/adamo1139/Yi-6B-200K-AEZAKMI-v2-6bpw-exl2 
Model Size6b
Required VRAM4.9 GB
Updated2024-09-16
Maintaineradamo1139
Model Typellama
Model Files  4.3 GB: 1-of-2   0.6 GB: 2-of-2
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length200000
Model Max Length200000
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16
Yi 6B 200K AEZAKMI V2 6bpw EXL2 (adamo1139/Yi-6B-200K-AEZAKMI-v2-6bpw-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than adamo1139/Yi-6B-200K-AEZAKMI-v2-6bpw-exl2.

Rank the Yi 6B 200K AEZAKMI V2 6bpw EXL2 Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803