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NemoDori V0.2.2 12B MN Ties by RozGrov

 »  All LLMs  »  RozGrov  »  NemoDori V0.2.2 12B MN Ties   URL Share it on

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:crestf411/nemo-sunf... Base model:rozgrov/nemodori-v0... Base model:unsloth/mistral-nem... Base model:usernamejustanother...   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/RozGrov/NemoDori-v0.2.2-12B-MN-ties 

NemoDori V0.2.2 12B MN Ties Benchmarks

LLME Score: 0.20972
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NemoDori V0.2.2 12B MN Ties (RozGrov/NemoDori-v0.2.2-12B-MN-ties)

NemoDori V0.2.2 12B MN Ties Parameters and Internals

Additional Notes 
This model is a merge of pre-trained language models created using mergekit. Its purpose is to enhance the ability to stay aware of past conversations and follow instructions better, while maintaining creativity. Testing shows improved awareness, though the response format may be inconsistent.
LLM NameNemoDori V0.2.2 12B MN Ties
Repository 🤗https://huggingface.co/RozGrov/NemoDori-v0.2.2-12B-MN-ties 
Base Model(s)  RozGrov/NemoDori-v0.2-12B-MN-BT   crestf411/nemo-sunfall-v0.6.1   Mistral Nemo Instruct 2407   Nemo 12B Marlin V5   RozGrov/NemoDori-v0.2-12B-MN-BT   crestf411/nemo-sunfall-v0.6.1   unsloth/Mistral-Nemo-Instruct-2407   UsernameJustAnother/Nemo-12B-Marlin-v5
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2025-02-05
MaintainerRozGrov
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 Version4.44.0
Tokenizer ClassGPT2Tokenizer
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 RozGrov/NemoDori-v0.2.2-12B-MN-ties.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Release v20241227
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