ChatML Nemo Pro by win10

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:cognitivecomputatio... Base model:cyberagent/mistral-... Base model:shuttleai/shuttle-2...   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/win10/ChatML-Nemo-Pro 

ChatML Nemo Pro Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ChatML Nemo Pro (win10/ChatML-Nemo-Pro)

ChatML Nemo Pro Parameters and Internals

LLM NameChatML Nemo Pro
Repository ๐Ÿค—https://huggingface.co/win10/ChatML-Nemo-Pro 
Base Model(s)  cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b   shuttleai/shuttle-2.5-mini   ...al Nemo Japanese Instruct 2408   cognitivecomputations/dolphin-2.9.3-mistral-nemo-12b   shuttleai/shuttle-2.5-mini   cyberagent/Mistral-Nemo-Japanese-Instruct-2408
Merged ModelYes
Model Size12.2b
Required VRAM24.5 GB
Updated2024-12-08
Maintainerwin10
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
Model ArchitectureMistralForCausalLM
Context Length1024000
Model Max Length1024000
Transformers Version4.46.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131074
Torch Data Typebfloat16

Best Alternatives to ChatML Nemo Pro

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Context / RAM
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Violet Twilight V0.21000K / 24.5 GB116217
Crimson Dawn V0.21000K / 24.5 GB6010
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...al Nemo Japanese Instruct 24081000K / 24.5 GB173224
Mistral Nemo Instruct 24071000K / 24.5 GB116446
MN SlushoMix1000K / 24.5 GB692
10 14dpo1000K / 49.3 GB1751
Nsfw DPO 11061000K / 49.3 GB180
...ish Mistral Nemo Instruct 24071000K / 24.5 GB772
Mistral Nemo Kurdish1000K / 24.5 GB592
Note: green Score (e.g. "73.2") means that the model is better than win10/ChatML-Nemo-Pro.

Rank the ChatML Nemo Pro 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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124