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SUS Chat 34B AWQ by TheBloke

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SUS Chat 34B AWQ is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 19.3GB, Context: 8K, License: other, Quantized, LLM Explorer Score: 0.11.

  4-bit   Awq Base model:quantized:sustech/s... Base model:sustech/sus-chat-34...   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/SUS-Chat-34B-AWQ 

SUS Chat 34B AWQ Benchmarks

LLME Score: 0.10538
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 AWQ (TheBloke/SUS-Chat-34B-AWQ)
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SUS Chat 34B AWQ Parameters and Internals

Model Type 
text-generation
Use Cases 
Limitations:
May produce unreasonable responses in some situations, Exacerbates existing issues in language models, including hallucinations, non-determinism, and cumulative errors
Considerations:
To achieve better performance for downstream tasks, adjust the generation configuration parameters accordingly.
Additional Notes 
This model bridges the gap between academia and industry in large language models.
Supported Languages 
Chinese (bilingual Chinese-English), English (bilingual Chinese-English)
LLM NameSUS Chat 34B AWQ
Repository 🤗https://huggingface.co/TheBloke/SUS-Chat-34B-AWQ 
Model NameSUS Chat 34B
Model CreatorSouthern university of science and technology
Base Model(s)  SUS Chat 34B   SUSTech/SUS-Chat-34B
Model Size34b
Required VRAM19.3 GB
Updated2026-05-11
MaintainerTheBloke
Model Typellama
Model Files  10.0 GB: 1-of-2   9.3 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

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

Rank the SUS Chat 34B 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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