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Hermes Mixtral Instruct Seqlen 4096 Bs 4 Optimum 0 0 23 by aws-neuron

 »  All LLMs  »  aws-neuron  »  Hermes Mixtral Instruct Seqlen 4096 Bs 4 Optimum 0 0 23   URL Share it on

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mixtral   Moe   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/aws-neuron/hermes-mixtral-instruct-seqlen-4096-bs-4-optimum-0-0-23 

Hermes Mixtral Instruct Seqlen 4096 Bs 4 Optimum 0 0 23 Benchmarks

LLME Score: 0.20613
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Hermes Mixtral Instruct Seqlen 4096 Bs 4 Optimum 0 0 23 (aws-neuron/hermes-mixtral-instruct-seqlen-4096-bs-4-optimum-0-0-23)

Hermes Mixtral Instruct Seqlen 4096 Bs 4 Optimum 0 0 23 Parameters and Internals

LLM NameHermes Mixtral Instruct Seqlen 4096 Bs 4 Optimum 0 0 23
Repository 🤗https://huggingface.co/aws-neuron/hermes-mixtral-instruct-seqlen-4096-bs-4-optimum-0-0-23 
Updated2024-12-21
Maintaineraws-neuron
Model Typemixtral
Instruction-BasedYes
Model ArchitectureMixtralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than aws-neuron/hermes-mixtral-instruct-seqlen-4096-bs-4-optimum-0-0-23.

Rank the Hermes Mixtral Instruct Seqlen 4096 Bs 4 Optimum 0 0 23 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 v20241217
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