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Yi 34B 200K DARE Merge V5 by brucethemoose

 »  All LLMs  »  brucethemoose  »  Yi 34B 200K DARE Merge V5   URL Share it on

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  Merged Model   Autotrain compatible   En   Endpoints compatible   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-merge-v5 

Yi 34B 200K DARE Merge V5 Benchmarks

ARC: 66.47 vs 96.7 (so35)-31.3%
HellaSwag: 85.54 vs 95.3 (gpt4)-10.2%
MMLU: 77.22 vs 88.3 (so35)-12.5%
TruthfulQA: 57.46 vs 59 (gpt4)-2.6%
WinoGrande: 82.24 vs 87.5 (gpt4)-6%
GSM8K: 62.93 vs 96.4 (so35)-34.7%
LLME Score: 0.15347
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi 34B 200K DARE Merge V5 (brucethemoose/Yi-34B-200K-DARE-merge-v5)
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Yi 34B 200K DARE Merge V5 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Yi models tend to run "hot" and require specific configurations for optimal performance. For detailed input/output handling and running tips, see the provided notes.
LLM NameYi 34B 200K DARE Merge V5
Repository 🤗https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-merge-v5 
Merged ModelYes
Model Size34b
Required VRAM68.9 GB
Updated2025-09-21
Maintainerbrucethemoose
Model Typellama
Model Files  9.8 GB: 1-of-8   9.8 GB: 2-of-8   9.8 GB: 3-of-8   9.8 GB: 4-of-8   9.8 GB: 5-of-8   9.8 GB: 6-of-8   9.8 GB: 7-of-8   0.3 GB: 8-of-8
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.36.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

Quantized Models of the Yi 34B 200K DARE Merge V5

Model
Likes
Downloads
VRAM
Yi 34B 200K DARE Merge V5 GGUF611014 GB
Yi 34B 200K DARE Merge V5 GPTQ0518 GB
Yi 34B 200K DARE Merge V5 AWQ0519 GB

Best Alternatives to Yi 34B 200K DARE Merge V5

Best Alternatives
Context / RAM
Downloads
Likes
34B Beta195K / 69.2 GB967963
Yi 34B 200K195K / 68.9 GB13184321
Bagel Hermes 34B Slerp195K / 68.9 GB96791
Smaug 34B V0.1195K / 69.2 GB968962
Casual Magnum 34B195K / 68.8 GB51
Bagel 34B V0.2195K / 68.7 GB422041
Yi 34B 200K AEZAKMI V2195K / 69.2 GB181112
Smaug 34B V0.1 ExPO195K / 69.2 GB90790
Faro Yi 34B195K / 69.2 GB97516
Bagel DPO 34B V0.5195K / 68.7 GB905717
Note: green Score (e.g. "73.2") means that the model is better than brucethemoose/Yi-34B-200K-DARE-merge-v5.

Rank the Yi 34B 200K DARE Merge V5 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 v20241124
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