Yi 34B Chat By 01-ai: Benchmarks, Features and Detailed Analysis. Insights on Yi 34B Chat.

Arxiv:2311.16502 Arxiv:2401.11944 Arxiv:2403.04652 Autotrain compatible Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Yi 34B Chat Benchmarks

LMSys ELO: 1111 vs 1158 (GPT-4) ^-4.1%

ARC: 65.1^-32.4%

HellaSwag: 84.08^-11.8%

MMLU: 74.87^-13.4%

TruthfulQA: 55.41^-6.1%

WinoGrande: 79.79^-8.8%

GSM8K: 19.79^-78.5%

^nn.n% — How the model compares to the GPT-4.

Yi 34B Chat Parameters and Internals

LLM Name	Yi 34B Chat
Repository	Open on 🤗
Model Size	34b
Required VRAM	69.2 GB
Updated	2024-07-27
Maintainer	01-ai
Model Type	llama
Model Files	4.8 GB: 1-of-15 4.8 GB: 2-of-15 5.0 GB: 3-of-15 4.8 GB: 4-of-15 4.8 GB: 5-of-15 5.0 GB: 6-of-15 4.8 GB: 7-of-15 4.8 GB: 8-of-15 5.0 GB: 9-of-15 4.8 GB: 10-of-15 4.8 GB: 11-of-15 5.0 GB: 12-of-15 4.8 GB: 13-of-15 4.8 GB: 14-of-15 1.2 GB: 15-of-15
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	bfloat16

Quantized Models of the Yi 34B Chat

Model	Likes	Downloads	VRAM
Yi 34B Chat GGUF	61	1273	14 GB
Yi 34B Chat GPTQ	16	90	18 GB
Yi 34B Chat GGUF	1	152	12 GB
Yi 34B Chat AWQ	13	62	19 GB

Best Alternatives to Yi 34B Chat

Best Alternatives	HF Rank	Context/RAM	Downloads	Likes
Yi 34B 200K	0.3	195K / 68.9 GB	5247	313
Smaug 34B V0.1	0.3	195K / 69.2 GB	3185	58
Yi 34B 200K AEZAKMI V2	0.3	195K / 69.2 GB	948	12
Smaug 34B V0.1 ExPO	0.3	195K / 69.2 GB	2085	0
Faro Yi 34B	0.3	195K / 69.2 GB	2748	6
Bagel DPO 34B V0.5	0.3	195K / 68.7 GB	1861	17
Nous Capybara 34B	0.3	195K / 68.9 GB	6259	242
Yi 34B 200K HESOYAM 0905	0.3	195K / 69.2 GB	240	0
Bagel DPO 34B V0.2	0.3	195K / 69.2 GB	2769	97
34B Beta	0.3	195K / 69.2 GB	1221	59

Rank the Yi 34B Chat 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

What open-source LLMs or SLMs are you in search of? 34447 in total.

Email us: info@extractum.io. Our Privacy Policy | Terms and Conditions | Suggest an improvement.

Our Social Media →

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

Release v2024072501

Support LLM Explorer