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Meta Llama 3.1 8B Instruct HalfAbliterated TIES by gaverfraxz

 »  All LLMs  »  gaverfraxz  »  Meta Llama 3.1 8B Instruct HalfAbliterated TIES   URL Share it on

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:meta-llama/llama-3.... Base model:meta-llama/llama-3.... Base model:mlabonne/meta-llama...   Conversational   Endpoints compatible   Instruct   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES 

Meta Llama 3.1 8B Instruct HalfAbliterated TIES Benchmarks

MMLU Pro: 29.76
GPQA: 2.24
MUSR: 6.59
BBH: 28.91
IFEval: 45.51 vs 88 (so35)-48.3%
MATH Lvl 5: 12.92
LLME Score: 0.33014
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3.1 8B Instruct HalfAbliterated TIES (gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES)

Meta Llama 3.1 8B Instruct HalfAbliterated TIES Parameters and Internals

LLM NameMeta Llama 3.1 8B Instruct HalfAbliterated TIES
Repository 🤗https://huggingface.co/gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES 
Base Model(s)  mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated   meta-llama/Meta-Llama-3.1-8B   meta-llama/Meta-Llama-3.1-8B-Instruct   mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated   meta-llama/Meta-Llama-3.1-8B   meta-llama/Meta-Llama-3.1-8B-Instruct
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2025-02-05
Maintainergaverfraxz
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
Licensemeta
Context Length131072
Model Max Length131072
Transformers Version4.43.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than gaverfraxz/Meta-Llama-3.1-8B-Instruct-HalfAbliterated-TIES.

Rank the Meta Llama 3.1 8B Instruct HalfAbliterated TIES 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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Multi-Language Support and Translation  

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Release v20241227
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