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Llama 3.1 8B TitanFusion Mix by bunnycore

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  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:bunnycore/llama-3.1... Base model:bunnycore/llama-3.1... Base model:bunnycore/llama-3.1... Base model:grimjim/llama-3-ins...   Endpoints compatible   Instruct   Llama   Lora   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bunnycore/Llama-3.1-8B-TitanFusion-Mix 

Llama 3.1 8B TitanFusion Mix Benchmarks

MMLU Pro: 29.95
GPQA: 6.04
MUSR: 12.46
BBH: 39.54
IFEval: 49.25 vs 88 (so35)-44%
MATH Lvl 5: 12.84
LLME Score: 0.25368
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 8B TitanFusion Mix (bunnycore/Llama-3.1-8B-TitanFusion-Mix)
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Llama 3.1 8B TitanFusion Mix Parameters and Internals

Additional Notes 
This is a merge of pre-trained language models created using MergeKit.
LLM NameLlama 3.1 8B TitanFusion Mix
Repository 🤗https://huggingface.co/bunnycore/Llama-3.1-8B-TitanFusion-Mix 
Base Model(s)  bunnycore/Llama-3.1-8B-TitanFusion   ... Instruct Abliteration LoRA 8B   bunnycore/Llama-3.1-8B-TitanFusion-v3   bunnycore/Llama-3.1-8B-TitanFusion-v2   bunnycore/Llama-3.1-8B-TitanFusion   bunnycore/Llama-3.1-8B-TitanFusion   grimjim/Llama-3-Instruct-abliteration-LoRA-8B   bunnycore/Llama-3.1-8B-TitanFusion-v3   bunnycore/Llama-3.1-8B-TitanFusion-v2   bunnycore/Llama-3.1-8B-TitanFusion
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2025-09-08
Maintainerbunnycore
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
Context Length131072
Model Max Length131072
Transformers Version4.44.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
LoRA ModelYes
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Llama-3.1-8B-TitanFusion-Mix.

Rank the Llama 3.1 8B TitanFusion Mix Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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