Mistral Nemo InstructContinuedFine by AlSamCur123

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  4bit   Autotrain compatible Base model:quantized:unsloth/m... Base model:unsloth/mistral-nem...   Conversational   En   Endpoints compatible   Gguf   Instruct   Mistral   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

Mistral Nemo InstructContinuedFine Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Nemo InstructContinuedFine (AlSamCur123/Mistral-Nemo-InstructContinuedFine)

Mistral Nemo InstructContinuedFine Parameters and Internals

LLM NameMistral Nemo InstructContinuedFine
Repository ๐Ÿค—https://huggingface.co/AlSamCur123/Mistral-Nemo-InstructContinuedFine 
Base Model(s)  ...al Nemo Instruct 2407 Bnb 4bit   unsloth/Mistral-Nemo-Instruct-2407-bnb-4bit
Model Size12.2b
Required VRAM24.5 GB
Updated2025-03-12
MaintainerAlSamCur123
Model Typemistral
Instruction-BasedYes
Model Files  7.1 GB   7.5 GB   8.7 GB   10.1 GB   13.0 GB   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
GGUF QuantizationYes
Quantization Type4bit|gguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.47.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than AlSamCur123/Mistral-Nemo-InstructContinuedFine.

Rank the Mistral Nemo InstructContinuedFine 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227