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Lyra4 Gutenberg 12B by nbeerbower

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  Autotrain compatible Base model:finetune:sao10k/mn-... Base model:sao10k/mn-12b-lyra-...   Conversational Dataset:jondurbin/gutenberg-dp...   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nbeerbower/Lyra4-Gutenberg-12B 

Lyra4 Gutenberg 12B Benchmarks

MMLU Pro: 28.57
GPQA: 9.17
MUSR: 11.97
BBH: 34.24
IFEval: 22.12 vs 88 (so35)-74.9%
MATH Lvl 5: 12.84
LLME Score: 0.28316
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Lyra4 Gutenberg 12B (nbeerbower/Lyra4-Gutenberg-12B)

Lyra4 Gutenberg 12B Parameters and Internals

Training Details 
Data Sources:
jondurbin/gutenberg-dpo-v0.1
Methodology:
Finetuned
Training Time:
3 epochs
Hardware Used:
RTX 3090, 4060 Ti
LLM NameLyra4 Gutenberg 12B
Repository 🤗https://huggingface.co/nbeerbower/Lyra4-Gutenberg-12B 
Base Model(s)  MN 12B Lyra V4   Sao10K/MN-12B-Lyra-v4
Model Size12b
Required VRAM24.5 GB
Updated2025-02-05
Maintainernbeerbower
Model Typemistral
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length1024000
Model Max Length1024000
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/Lyra4-Gutenberg-12B.

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Release v20241227
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