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Mixtral 8x7B Yes Instruct LimaRP by antisoc-qa-assoc

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Base model:doctor-shotgun/mixt... Base model:finetune:doctor-sho...   Dataset:lemonilia/limarp   En   Instruct   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/antisoc-qa-assoc/Mixtral-8x7B-Yes-Instruct-LimaRP 

Mixtral 8x7B Yes Instruct LimaRP Benchmarks

LLME Score: 0.25791
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral 8x7B Yes Instruct LimaRP (antisoc-qa-assoc/Mixtral-8x7B-Yes-Instruct-LimaRP)
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Mixtral 8x7B Yes Instruct LimaRP Parameters and Internals

LLM NameMixtral 8x7B Yes Instruct LimaRP
Repository 🤗https://huggingface.co/antisoc-qa-assoc/Mixtral-8x7B-Yes-Instruct-LimaRP 
Base Model(s)  mistralai/Mixtral-8x7B-Instruct-v0.1   Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss   mistralai/Mixtral-8x7B-Instruct-v0.1   Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss
Model Size46.7b
Required VRAM93.5 GB
Updated2025-07-19
Maintainerantisoc-qa-assoc
Model Typemixtral
Instruction-BasedYes
Model Files  10.0 GB: 1-of-10   10.0 GB: 2-of-10   10.0 GB: 3-of-10   10.0 GB: 4-of-10   10.0 GB: 5-of-10   10.0 GB: 6-of-10   10.0 GB: 7-of-10   10.0 GB: 8-of-10   10.0 GB: 9-of-10   3.5 GB: 10-of-10
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.51.3
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than antisoc-qa-assoc/Mixtral-8x7B-Yes-Instruct-LimaRP.

Rank the Mixtral 8x7B Yes Instruct LimaRP 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  
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Release v20241124
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