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Yi 34B 200K DARE Megamerge V8 by brucethemoose

 »  All LLMs  »  brucethemoose  »  Yi 34B 200K DARE Megamerge V8   URL Share it on

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  Merged Model   Arxiv:2306.01708   Arxiv:2311.03099   Autotrain compatible   En   Endpoints compatible   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow   Yi

Yi 34B 200K DARE Megamerge V8 Benchmarks

ARC: 67.75-29.6%
HellaSwag: 86.06-9.7%
MMLU: 77.03-10.9%
TruthfulQA: 56.31-4.6%
WinoGrande: 82.79-5.4%
GSM8K: 65.43-28.9%
nn.n% — How the model compares to the GPT-4.

Yi 34B 200K DARE Megamerge V8 Parameters and Internals

LLM NameYi 34B 200K DARE Megamerge V8
RepositoryOpen on 🤗 
Merged ModelYes
Model Size34b
Required VRAM68.8 GB
Updated2024-07-27
Maintainerbrucethemoose
Model Typellama
Model Files  9.8 GB: 1-of-7   9.8 GB: 2-of-7   9.8 GB: 3-of-7   10.0 GB: 4-of-7   9.8 GB: 5-of-7   9.8 GB: 6-of-7   9.8 GB: 7-of-7
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64002
Torch Data Typebfloat16
Yi 34B 200K DARE Megamerge V8 (brucethemoose/Yi-34B-200K-DARE-megamerge-v8)

Quantized Models of the Yi 34B 200K DARE Megamerge V8

Model
Likes
Downloads
VRAM
...4B 200K DARE Megamerge V8 GGUF115629 GB
...34B 200K DARE Megamerge V8 AWQ24019 GB
...4B 200K DARE Megamerge V8 GPTQ31418 GB

Best Alternatives to Yi 34B 200K DARE Megamerge V8

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
Yi 34B 200K0.3195K / 68.9 GB5280313
Smaug 34B V0.10.3195K / 69.2 GB318558
Yi 34B 200K AEZAKMI V20.3195K / 69.2 GB94812
Smaug 34B V0.1 ExPO0.3195K / 69.2 GB20850
Faro Yi 34B0.3195K / 69.2 GB27486
Bagel DPO 34B V0.50.3195K / 68.7 GB186117
Nous Capybara 34B0.3195K / 68.9 GB6679242
Yi 34B 200K HESOYAM 09050.3195K / 69.2 GB2550
Bagel DPO 34B V0.20.3195K / 69.2 GB276997
Bagel 34B V0.20.3195K / 68.7 GB471338
Note: green Score (e.g. "73.2") means that the model is better than brucethemoose/Yi-34B-200K-DARE-megamerge-v8.

Rank the Yi 34B 200K DARE Megamerge V8 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 v2024072501
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