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RTLCoder Z GPTQ4bit V1.0 by ishorn5

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  4bit   Autotrain compatible   Conversational   Endpoints compatible   Gptq   Has space   Mistral   Quantized   Region:us

Rank the RTLCoder Z GPTQ4bit V1.0 Capabilities

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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  
RTLCoder Z GPTQ4bit V1.0 (ishorn5/RTLCoder-Z-GPTQ4bit-v1.0)

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RTLCoder V1.1 Gptq 4bit32K / 4.2 GB720
Mistral Test GPTQ32K / 4.2 GB150
Slt Flng V01 4bit Gptq8K / 4.2 GB290
Intnt Strlng V02 4bit Gptq8K / 4.2 GB220
Note: green Score (e.g. "73.2") means that the model is better than ishorn5/RTLCoder-Z-GPTQ4bit-v1.0.

RTLCoder Z GPTQ4bit V1.0 Parameters and Internals

LLM NameRTLCoder Z GPTQ4bit V1.0
RepositoryOpen on ๐Ÿค— 
Required VRAM4.2 GB
Updated2024-02-28
Maintainerishorn5
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Initializer Range0.02
Torch Data Typefloat16
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024022003