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Llama3.1 8B MOTH by sequelbox

 »  All LLMs  »  sequelbox  »  Llama3.1 8B MOTH   URL Share it on

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  8b Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Chat   Conversational   Dataset:sequelbox/supernova   En   General   Instruct   Llama   Llama-3   Llama-3-instruct   Llama-3-instruct-8b   Llama-3.1   Llama-3.1-instruct   Llama-3.1-instruct-8b   Moth   Region:us   Safetensors   Sharded   Supernova   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sequelbox/Llama3.1-8B-MOTH 

Llama3.1 8B MOTH Benchmarks

MMLU Pro: 25.98
GPQA: 2.46
MUSR: 4.05
BBH: 27.92
IFEval: 52.45 vs 88 (so35)-40.4%
MATH Lvl 5: 11.25
LLME Score: 0.2727
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 MOTH (sequelbox/Llama3.1-8B-MOTH)

Llama3.1 8B MOTH Parameters and Internals

Model Type 
general, conversational, chat, instruct
Additional Notes 
MOTH is general chat AI finetuned on variety of skills and specialties. Not manually tested, uses automatically generated datasets.
Supported Languages 
en (full)
Training Details 
Data Sources:
sequelbox/Supernova
Methodology:
Finetuned on high quality synthetic data
Model Architecture:
Llama 3.1 Instruct format
LLM NameLlama3.1 8B MOTH
Repository 🤗https://huggingface.co/sequelbox/Llama3.1-8B-MOTH 
Base Model(s)  meta-llama/Meta-Llama-3.1-8B-Instruct   meta-llama/Meta-Llama-3.1-8B-Instruct
Model Size8b
Required VRAM32.1 GB
Updated2025-02-05
Maintainersequelbox
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-7   4.8 GB: 2-of-7   5.0 GB: 3-of-7   5.0 GB: 4-of-7   4.8 GB: 5-of-7   5.0 GB: 6-of-7   2.6 GB: 7-of-7
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typefloat32

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

Rank the Llama3.1 8B MOTH 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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