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Llama 3 Gutenberg 8B by nbeerbower

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  Autotrain compatible Base model:finetune:nbeerbower... Base model:nbeerbower/llama-3-...   Conversational Dataset:jondurbin/gutenberg-dp...   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 Gutenberg 8B Benchmarks

MMLU Pro: 31.45
GPQA: 6.82
MUSR: 10.05
BBH: 27.96
IFEval: 43.72 vs 88 (so35)-50.3%
ARC: 71.33 vs 96.7 (so35)-26.2%
HellaSwag: 86.47 vs 95.3 (gpt4)-9.3%
MMLU: 68.57 vs 88.3 (so35)-22.3%
TruthfulQA: 63.58 vs 59 (gpt4)7.8%
WinoGrande: 79.16 vs 87.5 (gpt4)-9.5%
GSM8K: 69.98 vs 96.4 (so35)-27.4%
MATH Lvl 5: 7.02
LLME Score: 0.28267
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 3 Gutenberg 8B Parameters and Internals

Model Type 
Causal Language Model
Additional Notes 
This model is a specialized fine-tuned variant utilizing LoRA methods.
Training Details 
Data Sources:
jondurbin/gutenberg-dpo-v0.1
Data Volume:
unknown size
Methodology:
Finetuning using LoRA
Context Length:
1536
Training Time:
unknown duration
Hardware Used:
A100 GPU on Google Colab
Model Architecture:
Llama-3
LLM NameLlama 3 Gutenberg 8B
Repository 🤗https://huggingface.co/nbeerbower/llama-3-gutenberg-8B 
Base Model(s)  Llama 3 Bophades V3 8B   nbeerbower/llama-3-bophades-v3-8B
Model Size8b
Required VRAM16.1 GB
Updated2024-11-21
Maintainernbeerbower
Model Typellama
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
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3 Gutenberg 8B (nbeerbower/llama-3-gutenberg-8B)

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/llama-3-gutenberg-8B.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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