Llama3.1 Gutenberg 8B by nbeerbower

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

Llama3.1 Gutenberg 8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3.1 Gutenberg 8B (nbeerbower/llama3.1-gutenberg-8B)

Llama3.1 Gutenberg 8B Parameters and Internals

Training Details 
Data Sources:
jondurbin/gutenberg-dpo-v0.1
Methodology:
Finetuned using 2x RTX 4060 for 3 epochs
Hardware Used:
2x RTX 4060
LLM NameLlama3.1 Gutenberg 8B
Repository ๐Ÿค—https://huggingface.co/nbeerbower/llama3.1-gutenberg-8B 
Base Model(s)  VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct   VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-01-22
Maintainernbeerbower
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
Licensellama3
Context Length131072
Model Max Length131072
Transformers Version4.44.0
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 nbeerbower/llama3.1-gutenberg-8B.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227