Name: SUS Chat 34B
Author: sustech

SUS Chat 34B is an open-source language model by sustech. Features: 34b LLM, VRAM: 68.9GB, Context: 8K, License: apache-2.0, HF Score: 73.2, LLM Explorer Score: 0.14, Arc: 97.7, HellaSwag: 94.2, MMLU: 75.9, TruthfulQA: 57, WinoGrande: 83.5, GSM8K: 72.3.

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: 0.13635

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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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 Name	SUS Chat 34B
Repository 🤗	https://huggingface.co/SUSTech/SUS-Chat-34B
Model Size	34b
Required VRAM	68.9 GB
Updated	2026-04-10
Maintainer	sustech
Model Type	llama
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 Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.35.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	bfloat16

Quantized Models of the SUS Chat 34B

Model	Likes	Downloads	VRAM
SUS Chat 34B GGUF	15	223	14 GB
SUS Chat 34B AWQ	9	8	19 GB
SUS Chat 34B GPTQ	3	4	18 GB

Best Alternatives to SUS Chat 34B

Best Alternatives	Context / RAM	Downloads	Likes
Bagel Hermes 34B Slerp	195K / 68.9 GB	8524	1
34B Beta	195K / 69.2 GB	8217	66
Yi 34B 200K	195K / 68.9 GB	9763	320
Smaug 34B V0.1	195K / 69.2 GB	8235	64
Casual Magnum 34B	195K / 68.8 GB	5	1
Bagel 34B V0.2	195K / 68.7 GB	2752	41
Yi 34B 200K AEZAKMI V2	195K / 69.2 GB	1872	12
Smaug 34B V0.1 ExPO	195K / 69.2 GB	7800	0
Bagel DPO 34B V0.5	195K / 68.7 GB	8055	17
Faro Yi 34B	195K / 69.2 GB	8135	6

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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Release v20260328a

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SUS Chat 34B by sustech

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