What are the hardware requirements for Yi 1.5 34B Chat?

Yi 1.5 34B Chat requires approximately 69.2 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Yi 1.5 34B Chat and how large is it?

Yi 1.5 34B Chat is developed by 01-ai, a model with 34b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Yi 1.5 34B Chat perform on standard benchmarks?

Yi 1.5 34B Chat has the following published scores: MMLU 77.08, LMSYS ELO 1213. Compare against reference models on this page or on the LLM Explorer leaderboards.

Yi 1.5 34B Chat by 01-ai — VRAM 69.2GB, 4K context

Name: Yi 1.5 34B Chat
Rating: 1 (1 reviews)
Author: 01-ai

Yi 1.5 34B Chat is an open-source language model by 01-ai. Features: 34b LLM, VRAM: 69.2GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.4, ELO: 1213, Arc: 70.5, HellaSwag: 86, MMLU: 77.1, GSM8K: 71.7.

Arxiv:2403.04652 Conversational Deploy:azure Endpoints compatible Eval-results Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/01-ai/Yi-1.5-34B-Chat

Yi 1.5 34B Chat Benchmarks

LMSys ELO 1213 vs 1272 (so35) -4.6%

^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)

Yi 1.5 34B Chat Parameters and Internals

Model Type

Chat, Base

Training Details

Data Sources:

High-quality corpus, Diverse fine-tuning samples

Data Volume:

500B tokens

LLM Name	Yi 1.5 34B Chat
Repository 🤗	https://huggingface.co/01-ai/Yi-1.5-34B-Chat
Model Size	34b
Required VRAM	69.2 GB
Updated	2026-09-18
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	4.40.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	bfloat16

Rank the Yi 1.5 34B Chat capabilities

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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

Quantized Models of the Yi 1.5 34B Chat

Model	Likes	Downloads	VRAM
Yi 1.5 34B Chat GGUF	4	476	8 GB
Yi 1.5 34B Chat AWQ	2	152	19 GB
Yi 1.5 34B Chat GGUF	5	49	12 GB
Yi 1.5 34B Chat GPTQ	1	8	19 GB

Best Alternatives to Yi 1.5 34B Chat

Best Alternatives	Context / RAM	Downloads	Likes
Bagel Hermes 34B Slerp	195K / 68.9 GB	8375	1
34B Beta	195K / 69.2 GB	8670	67
Smaug 34B V0.1	195K / 69.2 GB	8082	64
Casual Magnum 34B	195K / 68.8 GB	4	1
Yi 34B 200K	195K / 68.9 GB	9133	320
Bagel 34B V0.2	195K / 68.7 GB	259	41
Yi 34B 200K AEZAKMI V2	195K / 69.2 GB	57	12
Faro Yi 34B	195K / 69.2 GB	8208	6
Bagel DPO 34B V0.5	195K / 68.7 GB	8040	17
Smaug 34B V0.1 ExPO	195K / 69.2 GB	7812	0