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Yi 6B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq   Base model:01-ai/yi-6b Base model:quantized:01-ai/yi-...   Custom code   Quantized   Region:us   Safetensors   Yi
Model Card on HF 🤗: https://huggingface.co/TheBloke/Yi-6B-AWQ 

Yi 6B AWQ Benchmarks

LLME Score: 0.15202
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi 6B AWQ (TheBloke/Yi-6B-AWQ)

Yi 6B AWQ Parameters and Internals

Model Type 
text-generation
Additional Notes 
Yi 6B supports 4K sequence length, extensible to 32K during inference. The Yi series models include both 6B and 34B parameter sizes, trained from scratch.
Supported Languages 
English (bilingual), Chinese (bilingual)
LLM NameYi 6B AWQ
Repository 🤗https://huggingface.co/TheBloke/Yi-6B-AWQ 
Model NameYi 6B
Base Model(s)  Yi 6B   01-ai/Yi-6B
Model Size6b
Required VRAM3.9 GB
Updated2024-12-22
MaintainerTheBloke
Model Typeyi
Model Files  3.9 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureYiForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.35.0
Tokenizer ClassYiTokenizer
Vocabulary Size64000
Torch Data Typefloat16

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Context / RAM
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Yi 6B 200K AWQ195K / 3.9 GB592
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Yi 6B AWQ4K / 3.9 GB150
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... Spicyboros 3.1 4.0bpw H6 EXL24K / 3.5 GB133
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Yi 6B GPTQ4K / 3.9 GB921
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Yi-6B-AWQ.

Rank the Yi 6B AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241217
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