MM OV Bagel DPO 34B C1000 250 by abacusai

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  Autotrain compatible   Conversational Dataset:abacusai/metamathfewsh...   Endpoints compatible   License:apache-2.0   Llama   Region:us   Safetensors   Sharded   Tensorflow

MM OV Bagel DPO 34B C1000 250 Benchmarks

MM OV Bagel DPO 34B C1000 250 Parameters and Internals

LLM NameMM OV Bagel DPO 34B C1000 250
RepositoryOpen on ๐Ÿค— 
Model Size34b
Required VRAM69.2 GB
Updated2024-07-21
Maintainerabacusai
Model Typellama
Model Files  4.8 GB: 1-of-15   4.8 GB: 2-of-15   5.0 GB: 3-of-15   4.8 GB: 4-of-15   4.8 GB: 5-of-15   5.0 GB: 6-of-15   4.8 GB: 7-of-15   4.8 GB: 8-of-15   5.0 GB: 9-of-15   4.8 GB: 10-of-15   4.8 GB: 11-of-15   5.0 GB: 12-of-15   4.8 GB: 13-of-15   4.8 GB: 14-of-15   1.2 GB: 15-of-15
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length200000
Model Max Length200000
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16
MM OV Bagel DPO 34B C1000 250 (abacusai/MM-OV-bagel-DPO-34b-c1000-250)

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Note: green Score (e.g. "73.2") means that the model is better than abacusai/MM-OV-bagel-DPO-34b-c1000-250.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024071601