Mistral Nemo Cc 12B by nbeerbower

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  Autotrain compatible Base model:finetune:nbeerbower... Base model:nbeerbower/mistral-...   Conversational Dataset:flammenai/casual-conve...   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

Mistral Nemo Cc 12B 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 Cc 12B (nbeerbower/mistral-nemo-cc-12B)

Mistral Nemo Cc 12B Parameters and Internals

Model Type 
text-generation
Training Details 
Data Sources:
flammenai/casual-conversation-DPO
Methodology:
Finetuned using an A100 on Google Colab for 3 epochs.
Hardware Used:
A100
LLM NameMistral Nemo Cc 12B
Repository ๐Ÿค—https://huggingface.co/nbeerbower/mistral-nemo-cc-12B 
Base Model(s)  Mistral Nemo Gutenberg 12B V3   nbeerbower/mistral-nemo-gutenberg-12B-v3
Model Size12b
Required VRAM24.5 GB
Updated2025-01-22
Maintainernbeerbower
Model Typemistral
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
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|im_end|>
Vocabulary Size131075
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/mistral-nemo-cc-12B.

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