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Mergekit Slerp Anaazls by mergekit-community

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  Merged Model   Autotrain compatible Base model:abacusai/smaug-34b-... Base model:anthracite-org/magn...   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

Mergekit Slerp Anaazls Benchmarks

LLME Score: 0.24246
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mergekit Slerp Anaazls Parameters and Internals

LLM NameMergekit Slerp Anaazls
Repository 🤗https://huggingface.co/mergekit-community/mergekit-slerp-anaazls 
Base Model(s)  Magnum V3 34B   abacusai/Smaug-34B-v0.1   anthracite-org/magnum-v3-34b   abacusai/Smaug-34B-v0.1
Merged ModelYes
Model Size34b
Required VRAM69.2 GB
Updated2024-11-21
Maintainermergekit-community
Model Typellama
Model Files  5.0 GB: 1-of-15   5.0 GB: 2-of-15   4.8 GB: 3-of-15   5.0 GB: 4-of-15   4.8 GB: 5-of-15   4.8 GB: 6-of-15   5.0 GB: 7-of-15   4.8 GB: 8-of-15   4.8 GB: 9-of-15   5.0 GB: 10-of-15   4.8 GB: 11-of-15   4.8 GB: 12-of-15   5.0 GB: 13-of-15   4.8 GB: 14-of-15   0.8 GB: 15-of-15
Model ArchitectureLlamaForCausalLM
Context Length200000
Model Max Length200000
Transformers Version4.44.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16
Mergekit Slerp Anaazls (mergekit-community/mergekit-slerp-anaazls)

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Smaug 34B V0.1195K / 69.2 GB320160
Yi 34B 200K AEZAKMI V2195K / 69.2 GB125412
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Faro Yi 34B195K / 69.2 GB36376
Bagel DPO 34B V0.5195K / 68.7 GB287317
Dolphin 2.2 Yi 34B 200K195K / 69.2 GB176635
Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/mergekit-slerp-anaazls.

Rank the Mergekit Slerp Anaazls Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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