Funny Nemo Embedding Testing by ToastyPigeon

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Funny Nemo Embedding Testing is an open-source language model by ToastyPigeon. Features: 12.2b LLM, VRAM: 24.5GB, Context: 1000K, Merged, LLM Explorer Score: 0.21.

  Merged Model   Arxiv:2203.05482 Base model:toastypigeon/nemo-b... Base model:toastypigeon/nemo-k...   Conversational   Endpoints compatible   Lora   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
Merged ModelYes
Model Size12.2b
Required VRAM24.5 GB
Updated2026-04-11
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

Best Alternatives to Funny Nemo Embedding Testing

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...aptain Eris Violet GRPO V0.4201000K / 24.5 GB2624
...istral Nemo Instruct 2407 MPOA1000K / 24.5 GB232
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Violet Twilight V0.21000K / 24.5 GB18246
Mistral Nemo Kurdish1000K / 24.5 GB63
Tess Embed Fix Maybe1000K / 24.5 GB130
12BTRU1000K / 24.5 GB210
A Strange Nemo Model1000K / 24.5 GB90
Kalypso1000K / 24.5 GB2619
Another Strange Nemo Model1000K / 24.5 GB70
Note: green Score (e.g. "73.2") means that the model is better than ToastyPigeon/funny-nemo-embedding-testing.

Rank the Funny Nemo Embedding Testing 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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Release v20260328a