Mistral Nemo Instruct MCAI SFT by pbevan11

 ยป  All LLMs  ยป  pbevan11  ยป  Mistral Nemo Instruct MCAI SFT   URL Share it on

  Alignment-handbook   Autotrain compatible Base model:finetune:natong19/m... Base model:natong19/mistral-ne...   Conversational Dataset:pbevan11/multilingual-... Dataset:pbevan11/ultrafeedback...   Endpoints compatible   Generated from trainer   Instruct   Mistral   Region:us   Safetensors   Sft   Sharded   Tensorboard   Tensorflow   Trl

Mistral Nemo Instruct MCAI SFT 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 Instruct MCAI SFT Parameters and Internals

LLM NameMistral Nemo Instruct MCAI SFT
Repository ๐Ÿค—https://huggingface.co/pbevan11/Mistral-Nemo-Instruct-MCAI-SFT 
Base Model(s)  ...Nemo Instruct 2407 Abliterated   natong19/Mistral-Nemo-Instruct-2407-abliterated
Model Size12.2b
Required VRAM24.5 GB
Updated2024-09-30
Maintainerpbevan11
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 Length1024000
Model Max Length1024000
Transformers Version4.45.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16
Mistral Nemo Instruct MCAI SFT (pbevan11/Mistral-Nemo-Instruct-MCAI-SFT)

Best Alternatives to Mistral Nemo Instruct MCAI SFT

Best Alternatives
Context / RAM
Downloads
Likes
Violet Twilight V0.21000K / 24.5 GB1568
Azure Dusk V0.21000K / 24.5 GB1057
Crimson Dawn V0.21000K / 24.5 GB1198
...al Nemo Japanese Instruct 24081000K / 24.5 GB144415
Mistral Nemo Kurdish1000K / 24.5 GB361
...ish Mistral Nemo Instruct 24071000K / 24.5 GB432
Mistral Nemo Instruct 24071000K / 24.5 GB17855
ChatWaifu V1.3.11000K / 24.5 GB284
Azure Dusk V0.11000K / 24.5 GB45
ChatWaifu V1.2.11000K / 24.5 GB35
Note: green Score (e.g. "73.2") means that the model is better than pbevan11/Mistral-Nemo-Instruct-MCAI-SFT.

Rank the Mistral Nemo Instruct MCAI SFT Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 36726 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803