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Llama3.1 Flammades 70B by flammenai

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  Autotrain compatible Base model:finetune:nbeerbower... Base model:nbeerbower/llama3.1...   Conversational Dataset:flammenai/date-dpo-noa... Dataset:jondurbin/truthy-dpo-v...   Endpoints compatible   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/flammenai/Llama3.1-Flammades-70B 

Llama3.1 Flammades 70B Benchmarks

MMLU Pro: 41.69
GPQA: 13.87
MUSR: 22.35
BBH: 52.55
IFEval: 70.58 vs 88 (so35)-19.8%
MATH Lvl 5: 20.92
LLME Score: 0.32918
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3.1 Flammades 70B (flammenai/Llama3.1-Flammades-70B)

Llama3.1 Flammades 70B Parameters and Internals

Training Details 
Data Sources:
flammenai/Date-DPO-NoAsterisks, jondurbin/truthy-dpo-v0.1
Methodology:
ORPO tuning
Training Time:
3 epochs
Hardware Used:
2x H100
LLM NameLlama3.1 Flammades 70B
Repository 🤗https://huggingface.co/flammenai/Llama3.1-Flammades-70B 
Base Model(s)  nbeerbower/Llama3.1-Gutenberg-Doppel-70B   nbeerbower/Llama3.1-Gutenberg-Doppel-70B
Model Size70b
Required VRAM141.9 GB
Updated2025-02-22
Maintainerflammenai
Model Typellama
Model Files  4.6 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.1 GB: 30-of-30
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.45.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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