Yi 1.5 34B 32K 6.0bpw H6 EXL2 by LoneStriker

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  Arxiv:2403.04652   6-bit   Autotrain compatible   Endpoints compatible   Exl2   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Yi 1.5 34B 32K 6.0bpw H6 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 1.5 34B 32K 6.0bpw H6 EXL2 (LoneStriker/Yi-1.5-34B-32K-6.0bpw-h6-exl2)

Yi 1.5 34B 32K 6.0bpw H6 EXL2 Parameters and Internals

Model Type 
Chat models, Base models
Training Details 
Data Volume:
500B tokens
Methodology:
Continuously pre-trained on Yi with fine-tuning on 3M diverse samples
LLM NameYi 1.5 34B 32K 6.0bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/Yi-1.5-34B-32K-6.0bpw-h6-exl2 
Model Size34b
Required VRAM26.4 GB
Updated2025-02-22
MaintainerLoneStriker
Model Typellama
Model Files  8.5 GB: 1-of-4   8.6 GB: 2-of-4   8.6 GB: 3-of-4   0.7 GB: 4-of-4
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

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Rank the Yi 1.5 34B 32K 6.0bpw H6 EXL2 Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227