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Llama 3 8B Slow DUS Random Method2 by ryan0712

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  Merged Model   Autotrain compatible Base model:nousresearch/meta-l... Base model:ryan0712/llama-3-8b...   Endpoints compatible   Llama   Nousresearch/meta-llama-3-8b   Region:us Ryan0712/llama-3-8b-slow-dus-r...   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ryan0712/llama-3-8b-slow-DUS-random-method2 

Llama 3 8B Slow DUS Random Method2 Benchmarks

ARC: 39.16 vs 96.7 (so35)-59.5%
HellaSwag: 63.82 vs 95.3 (gpt4)-33%
MMLU: 30.25 vs 88.3 (so35)-65.7%
TruthfulQA: 37.04 vs 59 (gpt4)-37.2%
WinoGrande: 60.14 vs 87.5 (gpt4)-31.3%
GSM8K: 0.68 vs 96.4 (so35)-99.3%
LLME Score: 0.22833
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B Slow DUS Random Method2 (ryan0712/llama-3-8b-slow-DUS-random-method2)

Llama 3 8B Slow DUS Random Method2 Parameters and Internals

Model Type 
text-generation
Input Output 
Accepted Modalities:
text
LLM NameLlama 3 8B Slow DUS Random Method2
Repository 🤗https://huggingface.co/ryan0712/llama-3-8b-slow-DUS-random-method2 
Base Model(s)  Meta Llama 3 8B   Meta Llama 3 8B   Meta Llama 3 8B   Meta Llama 3 8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   Meta Llama 3 8B   Meta Llama 3 8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   Meta Llama 3 8B   Meta Llama 3 8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   Meta Llama 3 8B   Meta Llama 3 8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   Meta Llama 3 8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   Meta Llama 3 8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   Meta Llama 3 8B   Meta Llama 3 8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   Meta Llama 3 8B   Meta Llama 3 8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   Meta Llama 3 8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   Meta Llama 3 8B   Meta Llama 3 8B   Meta Llama 3 8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   Meta Llama 3 8B   Meta Llama 3 8B   Meta Llama 3 8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   Meta Llama 3 8B   Meta Llama 3 8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   Meta Llama 3 8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   Meta Llama 3 8B   Meta Llama 3 8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   Meta Llama 3 8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   Meta Llama 3 8B   Meta Llama 3 8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   Meta Llama 3 8B   NousResearch/Meta-Llama-3-8B   NousResearch/Meta-Llama-3-8B   NousResearch/Meta-Llama-3-8B   NousResearch/Meta-Llama-3-8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   NousResearch/Meta-Llama-3-8B   NousResearch/Meta-Llama-3-8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   NousResearch/Meta-Llama-3-8B   NousResearch/Meta-Llama-3-8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   NousResearch/Meta-Llama-3-8B   NousResearch/Meta-Llama-3-8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   NousResearch/Meta-Llama-3-8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   NousResearch/Meta-Llama-3-8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   NousResearch/Meta-Llama-3-8B   NousResearch/Meta-Llama-3-8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   NousResearch/Meta-Llama-3-8B   NousResearch/Meta-Llama-3-8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   NousResearch/Meta-Llama-3-8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   NousResearch/Meta-Llama-3-8B   NousResearch/Meta-Llama-3-8B   NousResearch/Meta-Llama-3-8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   NousResearch/Meta-Llama-3-8B   NousResearch/Meta-Llama-3-8B   NousResearch/Meta-Llama-3-8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   NousResearch/Meta-Llama-3-8B   NousResearch/Meta-Llama-3-8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   NousResearch/Meta-Llama-3-8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   NousResearch/Meta-Llama-3-8B   NousResearch/Meta-Llama-3-8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   NousResearch/Meta-Llama-3-8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   NousResearch/Meta-Llama-3-8B   NousResearch/Meta-Llama-3-8B   ryan0712/llama-3-8b-slow-DUS-random-layer-method2   NousResearch/Meta-Llama-3-8B
Merged ModelYes
Model Size8b
Required VRAM23.3 GB
Updated2025-02-22
Maintainerryan0712
Model Typellama
Model Files  1.1 GB: 1-of-24   1.1 GB: 2-of-24   1.0 GB: 3-of-24   1.0 GB: 4-of-24   1.0 GB: 5-of-24   1.0 GB: 6-of-24   1.0 GB: 7-of-24   1.0 GB: 8-of-24   1.0 GB: 9-of-24   0.9 GB: 10-of-24   1.0 GB: 11-of-24   1.0 GB: 12-of-24   1.0 GB: 13-of-24   0.9 GB: 14-of-24   1.0 GB: 15-of-24   1.0 GB: 16-of-24   1.0 GB: 17-of-24   1.0 GB: 18-of-24   1.0 GB: 19-of-24   1.0 GB: 20-of-24   1.0 GB: 21-of-24   1.0 GB: 22-of-24   1.0 GB: 23-of-24   0.3 GB: 24-of-24
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.1
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 ryan0712/llama-3-8b-slow-DUS-random-method2.

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