Hermes 2 Pro Mixtral 4x7B by Isotonic

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  Merged Model   Autotrain compatible   Chatml   Conversational   Distillation   Dpo   Endpoints compatible   Finetuned   Function calling   Gpt4   Instruct   Json mode   License:apache-2.0   Mixtral   Moe Nousresearch/hermes-2-pro-mist...   Region:us   Rlhf   Safetensors   Sharded   Synthetic data   Tensorflow

Hermes 2 Pro Mixtral 4x7B Benchmarks

Rank the Hermes 2 Pro Mixtral 4x7B 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  
Hermes 2 Pro Mixtral 4x7B (Isotonic/Hermes-2-Pro-Mixtral-4x7B)

Best Alternatives to Hermes 2 Pro Mixtral 4x7B

Best Alternatives
HF Rank
CognitiveFusion2 4x7B BF1676.8632K / 48.3 GB10172
MixtureofMerges MoE 4x7b V476.2332K / 48.3 GB24442
MixtureofMerges MoE 4x7b V576.0232K / 48.3 GB24411
NeuralMona MoE 4x7B75.9932K / 48.3 GB20660
Mera Mix 4x7B75.9132K / 48.3 GB38413
Beyonder 4x7B V375.6532K / 48.3 GB414954
Calme 4x7B MoE V0.175.5332K / 48.3 GB12212
Calme 4x7B MoE V0.275.4232K / 48.3 GB10841
SuperFlammen 4x7B75.3632K / 48.3 GB7990
MixtureofMerges MoE 4x7b V375.3132K / 48.3 GB24260
Note: green Score (e.g. "73.2") means that the model is better than Isotonic/Hermes-2-Pro-Mixtral-4x7B.

Hermes 2 Pro Mixtral 4x7B Parameters and Internals

LLM NameHermes 2 Pro Mixtral 4x7B
RepositoryOpen on ๐Ÿค— 
Merged ModelYes
Model Size24.2b
Required VRAM48.3 GB
Model Typemixtral
Model Files  9.9 GB: 1-of-5   10.0 GB: 2-of-5   10.0 GB: 3-of-5   10.0 GB: 4-of-5   8.4 GB: 5-of-5
Model ArchitectureMixtralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32032
Initializer Range0.02
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20240042001