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SUS Chat 34B by SUSTech

 »  All LLMs  »  SUSTech  »  SUS Chat 34B   URL Share it on

  1033   
  Autotrain compatible   Doi:10.57967/hf/1718   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/SUSTech/SUS-Chat-34B 

SUS Chat 34B Benchmarks

ARC: 97.7 vs 96.7 (so35)1%
HellaSwag: 94.2 vs 95.3 (gpt4)-1.2%
MMLU: 75.9 vs 88.3 (so35)-14%
TruthfulQA: 57.04 vs 59 (gpt4)-3.3%
WinoGrande: 83.5 vs 87.5 (gpt4)-4.6%
GSM8K: 72.3 vs 96.4 (so35)-25%
OpenCompas: 64.3 vs 73.3 (gpt4)-12.3%
Exam: 81.5 vs 77.2 (gpt4)5.6%
Language: 38.2 vs 62 (gpt4)-38.4%
Knowledge: 62.7 vs 73.5 (gpt4)-14.7%
Understand: 74.1 vs 70 (gpt4)5.9%
Reasoning: 63.9 vs 74.4 (gpt4)-14.1%
LLME Score: 0.19895
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 (SUSTech/SUS-Chat-34B)

SUS Chat 34B Parameters and Internals

Model Type 
bilingual Chinese-English, dialogue model, instruction-tuned
Use Cases 
Areas:
research, commercial applications
Applications:
multilingual tasks, long-text dialogues, complex instructions
Primary Use Cases:
multi-turn dialogues, instruction following
Supported Languages 
Chinese (high proficiency), English (high proficiency)
Training Details 
Data Volume:
1.4 billion tokens
Methodology:
fine-tuning
Context Length:
8000
Model Architecture:
based on LLaMA architecture
Release Notes 
Version:
2023-12-01
Date:
2023-12-01
Notes:
Release of SUS-Chat-34B model, a 34B bilingual Chinese-English dialogue model.
LLM NameSUS Chat 34B
Repository 🤗https://huggingface.co/SUSTech/SUS-Chat-34B 
Model Size34b
Required VRAM68.9 GB
Updated2024-12-21
MaintainerSUSTech
Model Typellama
Model Files  10.0 GB: 1-of-7   9.9 GB: 2-of-7   9.8 GB: 3-of-7   9.8 GB: 4-of-7   9.8 GB: 5-of-7   9.9 GB: 6-of-7   9.7 GB: 7-of-7
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

Quantized Models of the SUS Chat 34B

Model
Likes
Downloads
VRAM
SUS Chat 34B GGUF1621014 GB
SUS Chat 34B AWQ93319 GB
SUS Chat 34B GPTQ31618 GB

Best Alternatives to SUS Chat 34B

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Context / RAM
Downloads
Likes
Casual Magnum 34B195K / 68.8 GB131
34B Beta195K / 69.2 GB354862
Yi 34B 200K195K / 68.9 GB4525317
Smaug 34B V0.1195K / 69.2 GB371860
Bagel Hermes 34B Slerp195K / 68.9 GB39861
Bagel 34B V0.2195K / 68.7 GB395439
Yi 34B 200K AEZAKMI V2195K / 69.2 GB121012
Smaug 34B V0.1 ExPO195K / 69.2 GB29660
Faro Yi 34B195K / 69.2 GB37496
Bagel DPO 34B V0.5195K / 68.7 GB300817
Note: green Score (e.g. "73.2") means that the model is better than SUSTech/SUS-Chat-34B.

Rank the SUS Chat 34B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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