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Kicon Mixtral87 Merged Torch212 by jerryyun

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  Merged Model   Arxiv:1910.09700   4-bit   Autotrain compatible   Bitsandbytes   Conversational   Endpoints compatible   Instruct   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jerryyun/kicon_mixtral87_merged_torch212 

Kicon Mixtral87 Merged Torch212 Benchmarks

LLME Score: 0.18953
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kicon Mixtral87 Merged Torch212 (jerryyun/kicon_mixtral87_merged_torch212)

Kicon Mixtral87 Merged Torch212 Parameters and Internals

LLM NameKicon Mixtral87 Merged Torch212
Repository 🤗https://huggingface.co/jerryyun/kicon_mixtral87_merged_torch212 
Merged ModelYes
Model Size24.2b
Required VRAM26.7 GB
Updated2025-02-05
Maintainerjerryyun
Model Typemixtral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   1.7 GB: 6-of-6
Model ArchitectureMixtralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.39.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than jerryyun/kicon_mixtral87_merged_torch212.

Rank the Kicon Mixtral87 Merged Torch212 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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