What are the hardware requirements for Yi 34Bx2 MoE 60B DPO?

Yi 34Bx2 MoE 60B DPO requires approximately 121.8 GB of VRAM and supports a context window of 195K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Yi 34Bx2 MoE 60B DPO and how large is it?

Yi 34Bx2 MoE 60B DPO is developed by cloudyu, a model with 60.8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Yi 34Bx2 MoE 60B DPO perform on standard benchmarks?

Yi 34Bx2 MoE 60B DPO has the following published scores: MMLU 77.36. Compare against reference models on this page or on the LLM Explorer leaderboards.

Yi 34Bx2 MoE 60B DPO by cloudyu — VRAM 121.8GB, 195K context

Name: Yi 34Bx2 MoE 60B DPO
Author: cloudyu

Yi 34Bx2 MoE 60B DPO is an open-source language model by cloudyu. Features: 60.8b LLM, VRAM: 121.8GB, Context: 195K, License: apache-2.0, MoE, LLM Explorer Score: 0.22, Arc: 71.3, HellaSwag: 85.1, MMLU: 77.4, GSM8K: 73.9.

Conversational Dpo Endpoints compatible Mixtral Model-index Moe Region:us Safetensors Sharded Tensorflow Yi

Model Card on HF 🤗: https://huggingface.co/cloudyu/Yi-34Bx2-MoE-60B-DPO

Yi 34Bx2 MoE 60B DPO Benchmarks

ARC: 71.25 vs 96.7 (so35)^-26.3%

HellaSwag: 85.1 vs 95.3 (gpt4)^-10.7%

MMLU: 77.36 vs 88.3 (so35)^-12.4%

GSM8K: 73.92 vs 96.4 (so35)^-23.3%

LLME Score: 0.22261

^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 34Bx2 MoE 60B DPO (cloudyu/Yi-34Bx2-MoE-60B-DPO)

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Yi 34Bx2 MoE 60B DPO Parameters and Internals

Model Type

text-generation

Use Cases

Areas:

research, commercial applications

Primary Use Cases:

Text generation

Additional Notes

This is the DPO improved version of Yi-34Bx2-MoE-60B.

LLM Name	Yi 34Bx2 MoE 60B DPO
Repository 🤗	https://huggingface.co/cloudyu/Yi-34Bx2-MoE-60B-DPO
Model Size	60.8b
Required VRAM	121.8 GB
Updated	2026-05-09
Maintainer	cloudyu
Model Type	mixtral
Model Files	4.9 GB: 1-of-25 4.8 GB: 2-of-25 4.9 GB: 3-of-25 4.8 GB: 4-of-25 4.9 GB: 5-of-25 4.8 GB: 6-of-25 4.9 GB: 7-of-25 5.0 GB: 8-of-25 5.0 GB: 9-of-25 5.0 GB: 10-of-25 5.0 GB: 11-of-25 5.0 GB: 12-of-25 5.0 GB: 13-of-25 5.0 GB: 14-of-25 5.0 GB: 15-of-25 5.0 GB: 16-of-25 5.0 GB: 17-of-25 5.0 GB: 18-of-25 5.0 GB: 19-of-25 5.0 GB: 20-of-25 5.0 GB: 21-of-25 5.0 GB: 22-of-25 5.0 GB: 23-of-25 5.0 GB: 24-of-25 2.8 GB: 25-of-25
Model Architecture	MixtralForCausalLM
License	apache-2.0
Context Length	200000
Model Max Length	200000
Transformers Version	4.37.0
Tokenizer Class	LlamaTokenizer
Padding Token	<s>
Vocabulary Size	64000
Torch Data Type	bfloat16

Best Alternatives to Yi 34Bx2 MoE 60B DPO

Best Alternatives	Context / RAM	Downloads	Likes
Mixtral 34Bx2 MoE 60B	195K / 121.9 GB	8261	114
Bagel Hermes 2x34B	195K / 121.9 GB	136	16
Yi 34Bx2 MoE 200K	195K / 121.9 GB	8096	2
Yi 34Bx2 MoE 60B	195K / 121.9 GB	8365	64
...34Bx2 MoE V0.1 Full Linear DPO	195K / 121.8 GB	106	2
FusionNet 34Bx2 MoE V0.1	195K / 121.2 GB	74	8
... Cloudyu Mixtral 34Bx2 MoE 60B	195K / 121.8 GB	100	0
FusionNet 34Bx2 MoE	32K / 121.2 GB	249	9
...DPO TomGrc FusionNet 34Bx2 MoE	32K / 121.8 GB	81	4
Nous Hermes 2 MoE 2x34B	4K / 121.9 GB	189	0

Note: green Score (e.g. "73.2") means that the model is better than cloudyu/Yi-34Bx2-MoE-60B-DPO.

Rank the Yi 34Bx2 MoE 60B DPO 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 34Bx2 MoE 60B DPO by cloudyu

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Yi 34Bx2 MoE 60B DPO Benchmarks

Yi 34Bx2 MoE 60B DPO Parameters and Internals

Best Alternatives to Yi 34Bx2 MoE 60B DPO

Rank the Yi 34Bx2 MoE 60B DPO Capabilities

What open-source LLMs or SLMs are you in search of? 53999 in total.