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Nemo 12B Marlin V8 by UsernameJustAnother

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  Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-nem...   Conversational Dataset:fizzarolli/fallingthro... Dataset:kalomaze/opus instruct... Dataset:nothingiisreal/reddit-... Dataset:sao10k/c2-logs-filtere...   En   Endpoints compatible   Experimental   Instruct   Long-context   Mistral   Region:us   Rp   Safetensors   Sharded   Tensorflow   Trl   Unsloth   Writing
Model Card on HF 🤗: https://huggingface.co/UsernameJustAnother/Nemo-12B-Marlin-v8 

Nemo 12B Marlin V8 Benchmarks

LLME Score: 0.25086
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Nemo 12B Marlin V8 Parameters and Internals

Model Type 
text-generation-inference, transformers, experimental, long-context
Additional Notes 
Experimental model for RP/storywriting with a larger context.
Supported Languages 
en (English)
Training Details 
Data Sources:
kalomaze/Opus_Instruct_25k, Fizzarolli/FallingThroughTheSkies-592k-Filtered-Filtered, Sao10K/c2-Logs-Filtered, nothingiisreal/Reddit-Dirty-And-WritingPrompts
Data Volume:
10K-ish records
Methodology:
Fine-tuned using ChatML with filtering and editing for data curation
Context Length:
16000
Training Time:
7.5 hours
Hardware Used:
A100 80GB from runpod.io
Release Notes 
Version:
v8
Notes:
Fine-tuned on Nemo Base instead of Instruct, trained with dataset skill enhancements, and fits in 16GB VRAM.
LLM NameNemo 12B Marlin V8
Repository 🤗https://huggingface.co/UsernameJustAnother/Nemo-12B-Marlin-v8 
Base Model(s)  Mistral Nemo Base 2407   unsloth/Mistral-Nemo-Base-2407
Model Size12b
Required VRAM24.5 GB
Updated2024-12-04
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 Version4.44.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16
Nemo 12B Marlin V8 (UsernameJustAnother/Nemo-12B-Marlin-v8)

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Note: green Score (e.g. "73.2") means that the model is better than UsernameJustAnother/Nemo-12B-Marlin-v8.

Rank the Nemo 12B Marlin V8 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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Release v20241124
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