SUS Chat 34B GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:quantized:sustech/s... Base model:sustech/sus-chat-34...   Gptq   Llama   Quantized   Region:us   Safetensors

SUS Chat 34B GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SUS Chat 34B GPTQ (TheBloke/SUS-Chat-34B-GPTQ)

SUS Chat 34B GPTQ Parameters and Internals

Model Type 
text generation, dialogue
Use Cases 
Areas:
Academic research, Commercial applications
Primary Use Cases:
Multilingual dialogue
Limitations:
Might produce unreasonable responses, Issues like hallucinations, non-determinism, and cumulative errors
Considerations:
Adjust generation configuration parameters for better downstream task performance.
Additional Notes 
Demonstrates academic institutions can achieve high performance through instruction fine-tuning without increasing model size. Bridging academia and industry.
Supported Languages 
Chinese (bilingual), English (bilingual)
Training Details 
Data Sources:
multilingual instruction data
Methodology:
High-quality instruction fine-tuning; inter-instruction attention sharing for expanded window size.
Context Length:
8000
Input Output 
Input Format:
SUS ### Human: {prompt} ### Assistant:
Accepted Modalities:
text
Output Format:
Text response
Performance Tips:
Adjust generation configuration parameters for specific downstream tasks.
LLM NameSUS Chat 34B GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/SUS-Chat-34B-GPTQ 
Model NameSUS Chat 34B
Model CreatorSouthern university of science and technology
Base Model(s)  SUS Chat 34B   SUSTech/SUS-Chat-34B
Model Size34b
Required VRAM18.6 GB
Updated2024-12-14
MaintainerTheBloke
Model Typellama
Model Files  18.6 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/SUS-Chat-34B-GPTQ.

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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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124