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Mllama 3.1 8B Instruct by ehristoforu

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:arcee-ai/llama-3.1-... Base model:cognitivecomputatio... Base model:nousresearch/hermes... Base model:simpleberry/llama-o... Base model:skywork/skywork-o1-... Base model:unsloth/meta-llama-...   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ehristoforu/mllama-3.1-8b-instruct 

Mllama 3.1 8B Instruct Benchmarks

MMLU Pro: 17.04
GPQA: 2.68
MUSR: 3.68
BBH: 26.37
IFEval: 34.58 vs 88 (so35)-60.7%
MATH Lvl 5: 37.76
LLME Score: 0.28598
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mllama 3.1 8B Instruct (ehristoforu/mllama-3.1-8b-instruct)

Mllama 3.1 8B Instruct Parameters and Internals

LLM NameMllama 3.1 8B Instruct
Repository 🤗https://huggingface.co/ehristoforu/mllama-3.1-8b-instruct 
Base Model(s)  NousResearch/Hermes-3-Llama-3.1-8B   Skywork/Skywork-o1-Open-Llama-3.1-8B   cognitivecomputations/dolphin-2.9.4-llama3.1-8b   LLaMA O1 Base 1127   unsloth/Meta-Llama-3.1-8B-Instruct   arcee-ai/Llama-3.1-SuperNova-Lite   NousResearch/Hermes-3-Llama-3.1-8B   Skywork/Skywork-o1-Open-Llama-3.1-8B   cognitivecomputations/dolphin-2.9.4-llama3.1-8b   SimpleBerry/LLaMA-O1-Base-1127   unsloth/Meta-Llama-3.1-8B-Instruct   arcee-ai/Llama-3.1-SuperNova-Lite
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2025-03-23
Maintainerehristoforu
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 Version4.46.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ehristoforu/mllama-3.1-8b-instruct.

Rank the Mllama 3.1 8B Instruct Capabilities

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Release v20241227
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