Funny Nemo Embedding Testing by ToastyPigeon

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  Arxiv:2203.05482   Autotrain compatible Base model:merge:toastypigeon/... Base model:merge:toastypigeon/... Base model:toastypigeon/nemo-b... Base model:toastypigeon/nemo-k...   Conversational   Endpoints compatible   Lora   Merge   Mergekit   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Funny Nemo Embedding Testing Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Funny Nemo Embedding Testing (ToastyPigeon/funny-nemo-embedding-testing)
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Funny Nemo Embedding Testing Parameters and Internals

LLM NameFunny Nemo Embedding Testing
Repository ๐Ÿค—https://huggingface.co/ToastyPigeon/funny-nemo-embedding-testing 
Base Model(s)  Nemo Kimi Lora   Nemo Books Lora   ToastyPigeon/nemo-kimi-lora   ToastyPigeon/nemo-books-lora
Model Size12.2b
Required VRAM24.5 GB
Updated2025-08-22
MaintainerToastyPigeon
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
Context Length1024000
Model Max Length1024000
Transformers Version4.54.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131072
LoRA ModelYes
Torch Data Typebfloat16

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A Strange Nemo Model1000K / 24.5 GB120
Another Strange Nemo Model1000K / 24.5 GB100
Mistral Nemo Kurdish1000K / 24.5 GB43
Goldenworking1000K / 24.5 GB70
Note: green Score (e.g. "73.2") means that the model is better than ToastyPigeon/funny-nemo-embedding-testing.

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