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MN 12B Lyra V3 by Sao10K

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MN 12B Lyra V3 is an open-source language model by Sao10K. Features: 12b LLM, VRAM: 24.4GB, Context: 1000K, License: proprietary, LLM Explorer Score: 0.21.

  En   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sao10K/MN-12B-Lyra-v3 

MN 12B Lyra V3 Benchmarks

MMLU Pro: 24.99
GPQA: 3.69
MUSR: 9.04
BBH: 25.87
IFEval: 44.86 vs 88 (so35)-49%
MATH Lvl 5: 9.37
LLME Score: 0.20657
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MN 12B Lyra V3 (Sao10K/MN-12B-Lyra-v3)
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MN 12B Lyra V3 Parameters and Internals

Model Type 
text generation
Additional Notes 
Original format was meant for an 8B pruned NeMo train.
Training Details 
Data Sources:
A custom, cleaned mix of Stheno-v3.4's Dataset
Methodology:
Multi-turn training with RL step, Magpie-style responses.
Training Time:
6 Hours
Hardware Used:
4xH100 SXM
Input Output 
Input Format:
ChatML-style prompting Format
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Recommended samplers: Temperature: 0.7 - 1.2, min_p: 0.1 - 0.2
LLM NameMN 12B Lyra V3
Repository 🤗https://huggingface.co/Sao10K/MN-12B-Lyra-v3 
Model Size12b
Required VRAM24.4 GB
Updated2024-11-27
MaintainerSao10K
Model Typemistral
Model Files  2.0 GB: 1-of-13   1.9 GB: 2-of-13   1.9 GB: 3-of-13   1.9 GB: 4-of-13   1.9 GB: 5-of-13   1.9 GB: 6-of-13   1.9 GB: 7-of-13   1.9 GB: 8-of-13   1.9 GB: 9-of-13   1.9 GB: 10-of-13   1.9 GB: 11-of-13   1.9 GB: 12-of-13   1.5 GB: 13-of-13
Supported Languagesen
Gated ModelYes
Model ArchitectureMistralForCausalLM
Licenseproprietary
Context Length1024000
Model Max Length1024000
Transformers Version4.43.4
Tokenizer ClassPreTrainedTokenizerFast
Padding Token[/INST]
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Sao10K/MN-12B-Lyra-v3.

Rank the MN 12B Lyra V3 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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