What are the hardware requirements for Yi 1.5 34B 32K?

Yi 1.5 34B 32K requires approximately 69.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Yi 1.5 34B 32K and how large is it?

Yi 1.5 34B 32K 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 32K perform on standard benchmarks?

Yi 1.5 34B 32K has the following published scores: MMLU 78.15. Compare against reference models on this page or on the LLM Explorer leaderboards.

Yi 1.5 34B 32K by 01-ai — VRAM 69.2GB, 32K context

Name: Yi 1.5 34B 32K
Author: 01-ai

Yi 1.5 34B 32K is an open-source language model by 01-ai. Features: 34b LLM, VRAM: 69.2GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.25, Arc: 64.4, HellaSwag: 85.5, MMLU: 78.2.

Arxiv:2403.04652 Deploy:azure Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/01-ai/Yi-1.5-34B-32K

Yi 1.5 34B 32K Parameters and Internals

Model Type

Chat, Base

Training Details

Data Volume:

500B tokens (pre-trained)

Methodology:

Fine-tuned on 3M diverse samples

LLM Name	Yi 1.5 34B 32K
Repository 🤗	https://huggingface.co/01-ai/Yi-1.5-34B-32K
Model Size	34b
Required VRAM	69.2 GB
Updated	2026-08-13
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	32768
Model Max Length	32768
Transformers Version	4.37.1
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	bfloat16

Rank the Yi 1.5 34B 32K 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

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