What are the hardware requirements for Yi 6B?

Yi 6B 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 6B and how large is it?

Yi 6B 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 6B perform on standard benchmarks?

Yi 6B has the following published scores: MMLU 64. Compare against reference models on this page or on the LLM Explorer leaderboards.

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

Name: Yi 6B
Author: 01-ai

Yi 6B is an open-source language model by 01-ai. Features: 6b LLM, VRAM: 12.1GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.21, Arc: 83.8, HellaSwag: 73.1, MMLU: 64, GSM8K: 39.9.

Arxiv:2311.16502 Arxiv:2401.11944 Arxiv:2403.04652 Deploy:azure Endpoints compatible Eval-results Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/01-ai/Yi-6B

Yi 6B Benchmarks

ARC: 83.8 vs 96.7 (so35)^-13.3%

HellaSwag: 73.1 vs 95.3 (gpt4)^-23.3%

MMLU: 64 vs 88.3 (so35)^-27.5%

GSM8K: 39.9 vs 96.4 (so35)^-58.6%

OpenCompas: 51.5 vs 73.3 (gpt4)^-29.7%

Exam: 66.8 vs 77.2 (gpt4)^-13.5%

Language: 37.3 vs 62 (gpt4)^-39.8%

Knowledge: 49.4 vs 73.5 (gpt4)^-32.8%

Understand: 70 vs 70 (gpt4)^0%

Reasoning: 45.2 vs 74.4 (gpt4)^-39.2%

LLME Score: 0.21082

^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 6B Parameters and Internals

Model Type

text generation, chat

Use Cases

Areas:

research, commercial applications, personal use

Primary Use Cases:

text and chat generation

Limitations:

May produce hallucinations, Non-determinism in re-generation, Cumulative error potential

Considerations:

Adjust generation parameters for diverse responses

Additional Notes

Yi is based on Llama architecture but not a derivative; independently trained.

Supported Languages

English (high), Chinese (high)

Training Details

Data Sources:

multilingual corpus, custom datasets developed by Yi

Data Volume:

3T tokens

Methodology:

Supervised Fine-Tuning (SFT) for chat models

Context Length:

200000

Training Time:

unknown

Hardware Used:

NVIDIA A800, GPU environment

Model Architecture:

Transformer-based, similar to Llama

Responsible Ai Considerations

Fairness:

Not detailed

Transparency:

Open-source distribution under Apache 2.0

Accountability:

Not specified

Mitigation Strategies:

Uses compliance checking algorithms to maximize data compliance

Input Output

Input Format:

Text input for prompts

Accepted Modalities:

text

Output Format:

Generated text output

Performance Tips:

Use appropriate generation settings (temperature, top_p) for task diversity

Release Notes

Version:

Yi 1.5

Date:

2024-05-13

Notes:

Improved coding, math, reasoning abilities

LLM Name	Yi 6B
Repository 🤗	https://huggingface.co/01-ai/Yi-6B
Model Size	6b
Required VRAM	12.1 GB
Updated	2026-07-09
Maintainer	01-ai
Model Type	llama
Model Files	9.9 GB: 1-of-2 2.2 GB: 2-of-2 9.9 GB: 1-of-2 2.2 GB: 2-of-2
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.34.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	bfloat16

Quantized Models of the Yi 6B

Model	Likes	Downloads	VRAM
Yi 6B GGUF	14	415	2 GB
Yi 6B AWQ	1	12	3 GB
Yi 6B GPTQ	1	7	3 GB
... Spicyboros 3.1 4.0bpw H6 EXL2	3	4	3 GB
... Spicyboros 3.1 3.0bpw H6 EXL2	1	3	2 GB

Best Alternatives to Yi 6B

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

Note: green Score (e.g. "73.2") means that the model is better than 01-ai/Yi-6B.

Rank the Yi 6B 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 6B by 01-ai