What are the hardware requirements for Yi 1.5 6B Chat?

Yi 1.5 6B Chat requires approximately 12.1 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 6B Chat and how large is it?

Yi 1.5 6B Chat is developed by 01-ai, a model with 6b 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 6B Chat perform on standard benchmarks?

Yi 1.5 6B Chat has the following published scores: MMLU 64.24. Compare against reference models on this page or on the LLM Explorer leaderboards.

Yi 1.5 6B Chat by 01-ai — VRAM 12.1GB, 4K context

Name: Yi 1.5 6B Chat
Author: 01-ai

Yi 1.5 6B Chat is an open-source language model by 01-ai. Features: 6b LLM, VRAM: 12.1GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.24, Arc: 60.7, HellaSwag: 78.9, MMLU: 64.2, GSM8K: 67.1.

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-1.5-6B-Chat

Yi 1.5 6B Chat Benchmarks

ARC: 60.67 vs 96.7 (so35)^-37.3%

HellaSwag: 78.87 vs 95.3 (gpt4)^-17.2%

MMLU: 64.24 vs 88.3 (so35)^-27.2%

GSM8K: 67.1 vs 96.4 (so35)^-30.4%

LLME Score: 0.24042

^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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Yi 1.5 6B Chat 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 6B Chat
Repository 🤗	https://huggingface.co/01-ai/Yi-1.5-6B-Chat
Model Size	6b
Required VRAM	12.1 GB
Updated	2026-06-07
Maintainer	01-ai
Model Type	llama
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 2.2 GB: 3-of-3
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

Quantized Models of the Yi 1.5 6B Chat

Model	Likes	Downloads	VRAM
Yi 1.5 6B Chat GGUF	9	103008	2 GB
Yi 1.5 6B Chat GGUF	1	257	2 GB
Yi 1.5 6B Chat GGUF	3	165	2 GB
Yi 1.5 6B Chat IMat GGUF	0	42	1 GB

Best Alternatives to Yi 1.5 6B Chat

Best Alternatives	Context / RAM	Downloads	Likes
Yi 6B 200K	195K / 12.1 GB	58159	172
Yi 6B 200K DPO	195K / 12.1 GB	243	0
Yi 6B 200K AEZAKMI V2	195K / 12.1 GB	95	1
Wukong Yi 6B 200K	195K / 12.1 GB	3	1
Barcenas 6B 200K	195K / 12.1 GB	288	2
Yi 6B 200K Llamafied	195K / 12.1 GB	18	11
Yi 6B 200K Llama	195K / 12.1 GB	3	5
Llama 3.2 6B AlgoCode	128K / 12.7 GB	14	1
Chatglm2 6B Port Llama	32K / 12.5 GB	8	4
Miqu 6B Truthy	31K / 11.3 GB	76	1

Rank the Yi 1.5 6B 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

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Release v20260328a

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Yi 1.5 6B Chat by 01-ai