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SUS Chat 34B by SUSTech

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  1937   
  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: 0.18678
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
Updated2025-02-22
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 GGUF1652614 GB
SUS Chat 34B GPTQ33718 GB
SUS Chat 34B AWQ91719 GB

Best Alternatives to SUS Chat 34B

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Context / RAM
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Likes
Casual Magnum 34B195K / 68.8 GB141
34B Beta195K / 69.2 GB372963
Bagel 34B V0.2195K / 68.7 GB679040
Bagel Hermes 34B Slerp195K / 68.9 GB38941
Smaug 34B V0.1195K / 69.2 GB367260
Yi 34B 200K195K / 68.9 GB6015318
Yi 34B 200K AEZAKMI V2195K / 69.2 GB200712
Faro Yi 34B195K / 69.2 GB36126
Smaug 34B V0.1 ExPO195K / 69.2 GB19720
Mergekit Slerp Anaazls195K / 69.2 GB90
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 v20241227
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