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Llama3.1 8B PlumChat by sequelbox

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  Merged Model   Autotrain compatible Base model:meta-llama/llama-3.... Base model:sequelbox/llama3.1-... Base model:valiantlabs/llama3....   Chat   Conversational   Endpoints compatible   Instruct   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sequelbox/Llama3.1-8B-PlumChat 

Llama3.1 8B PlumChat Benchmarks

MMLU Pro: 12.52
GPQA: 2.01
MUSR: 4.77
BBH: 13.94
IFEval: 42.43 vs 88 (so35)-51.8%
MATH Lvl 5: 3.63
LLME Score: 0.25515
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3.1 8B PlumChat (sequelbox/Llama3.1-8B-PlumChat)

Llama3.1 8B PlumChat Parameters and Internals

LLM NameLlama3.1 8B PlumChat
Repository 🤗https://huggingface.co/sequelbox/Llama3.1-8B-PlumChat 
Base Model(s)  meta-llama/Llama-3.1-8B-Instruct   sequelbox/Llama3.1-8B-MOTH   ValiantLabs/Llama3.1-8B-ShiningValiant2   meta-llama/Llama-3.1-8B-Instruct   sequelbox/Llama3.1-8B-MOTH   ValiantLabs/Llama3.1-8B-ShiningValiant2
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintainersequelbox
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.45.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than sequelbox/Llama3.1-8B-PlumChat.

Rank the Llama3.1 8B PlumChat 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 v20241227
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