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Nemo 12B Marlin V2 by UsernameJustAnother

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  Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-nem...   Conversational   En   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/UsernameJustAnother/Nemo-12B-Marlin-v2 

Nemo 12B Marlin V2 Benchmarks

LLME Score: 0.21038
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nemo 12B Marlin V2 (UsernameJustAnother/Nemo-12B-Marlin-v2)

Nemo 12B Marlin V2 Parameters and Internals

Model Type 
text-generation-inference
Additional Notes 
This model was trained with Unsloth for 2x faster free finetuning in comparison to Marlin v1 which used rank 64, whereas this uses rank 256.
Supported Languages 
en (high)
Training Details 
Data Sources:
secret sauce dataset
Methodology:
Finetuning with rsLoRA
Training Time:
~3.5hrs
Hardware Used:
Colab A100 instance, 36GB vRAM
LLM NameNemo 12B Marlin V2
Repository 🤗https://huggingface.co/UsernameJustAnother/Nemo-12B-Marlin-v2 
Base Model(s)  Mistral Nemo Instruct 2407   unsloth/Mistral-Nemo-Instruct-2407
Model Size12b
Required VRAM24.5 GB
Updated2025-01-23
MaintainerUsernameJustAnother
Model Typemistral
Instruction-BasedYes
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
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.43.3
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 UsernameJustAnother/Nemo-12B-Marlin-v2.

Rank the Nemo 12B Marlin V2 Capabilities

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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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Release v20241227
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