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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
Model Card on HF 🤗: https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8 

Yi 34B 200K DARE Megamerge V8 Benchmarks

ARC: 67.75 vs 96.7 (so35)-29.9%
HellaSwag: 86.06 vs 95.3 (gpt4)-9.7%
MMLU: 77.03 vs 88.3 (so35)-12.8%
TruthfulQA: 56.31 vs 59 (gpt4)-4.6%
WinoGrande: 82.79 vs 87.5 (gpt4)-5.4%
GSM8K: 65.43 vs 96.4 (so35)-32.1%
LLME Score: 0.16926
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 Megamerge V8 (brucethemoose/Yi-34B-200K-DARE-megamerge-v8)

Yi 34B 200K DARE Megamerge V8 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Merged using DARE TIES method to handle models with up to 200,000 context efficiently. Specialized in merging multiple Yi models for improved performance.
Input Output 
Input Format:
Orca-Vicuna template
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Run at a lower temperature with 0.1 or higher MinP, a little repetition penalty, possibly mirostat with low tau.
LLM NameYi 34B 200K DARE Megamerge V8
Repository 🤗https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8 
Merged ModelYes
Model Size34b
Required VRAM68.8 GB
Updated2025-03-12
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

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

Model
Likes
Downloads
VRAM
...4B 200K DARE Megamerge V8 GGUF149779 GB
...4B 200K DARE Megamerge V8 GPTQ32618 GB
...34B 200K DARE Megamerge V8 AWQ22119 GB

Best Alternatives to Yi 34B 200K DARE Megamerge V8

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Context / RAM
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Casual Magnum 34B195K / 68.8 GB151
Yi 34B 200K195K / 68.9 GB6867318
Bagel 34B V0.2195K / 68.7 GB650241
34B Beta195K / 69.2 GB192063
Bagel Hermes 34B Slerp195K / 68.9 GB21701
Smaug 34B V0.1195K / 69.2 GB191060
Yi 34B 200K AEZAKMI V2195K / 69.2 GB207112
Mergekit Slerp Anaazls195K / 69.2 GB70
Faro Yi 34B195K / 69.2 GB19566
Dolphin 2.2 Yi 34B 200K195K / 69.2 GB205936
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

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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 v20241227
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