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Meta Llama 3 8B Instruct Fine Tuned by Louis-Dupont

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Meta Llama 3 8B Instruct Fine Tuned Benchmarks

LLME Score: 0.23288
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 8B Instruct Fine Tuned Parameters and Internals

LLM NameMeta Llama 3 8B Instruct Fine Tuned
Repository 🤗https://huggingface.co/Louis-Dupont/Meta-Llama-3-8B-Instruct-fine-tuned 
Model Size8b
Required VRAM18.8 GB
Updated2024-09-08
MaintainerLouis-Dupont
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB   16.1 GB   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   5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.8 GB: 4-of-4
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typeggml|q4|gguf|q4_k
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.42.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typefloat32
Meta Llama 3 8B Instruct Fine Tuned (Louis-Dupont/Meta-Llama-3-8B-Instruct-fine-tuned)

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Note: green Score (e.g. "73.2") means that the model is better than Louis-Dupont/Meta-Llama-3-8B-Instruct-fine-tuned.

Rank the Meta Llama 3 8B Instruct Fine Tuned Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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