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Sapphire 12B by hardlyworking

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  Autotrain compatible   Axolotl Base model:finetune:neweden/mi... Base model:neweden/mistralai-n...   Conversational   Dataset:hardlyworking/hardlyrp   Dataset:jeiku/writing   Endpoints compatible   Generated from trainer   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/hardlyworking/Sapphire-12B 

Sapphire 12B Benchmarks

LLME Score: 0.26862
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sapphire 12B (hardlyworking/Sapphire-12B)

Sapphire 12B Parameters and Internals

LLM NameSapphire 12B
Repository 🤗https://huggingface.co/hardlyworking/Sapphire-12B 
Base Model(s)  MistralAI Nemo Instruct ChatML   NewEden/MistralAI-Nemo-Instruct-ChatML
Model Size12b
Required VRAM24.5 GB
Updated2025-04-28
Maintainerhardlyworking
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   0.0 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.51.0
Tokenizer ClassPreTrainedTokenizer
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 hardlyworking/Sapphire-12B.

Rank the Sapphire 12B 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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