Tess Embed Fix Maybe by ToastyPigeon

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Tess Embed Fix Maybe is an open-source language model by ToastyPigeon. Features: 12.2b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, LLM Explorer Score: 0.2.

  Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

Tess Embed Fix Maybe Benchmarks

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

Tess Embed Fix Maybe Parameters and Internals

LLM NameTess Embed Fix Maybe
Repository 🤗https://huggingface.co/ToastyPigeon/tess-embed-fix-maybe 
Model Size12.2b
Required VRAM24.5 GB
Updated2025-08-19
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   0.0 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.44.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ToastyPigeon/tess-embed-fix-maybe.

Rank the Tess Embed Fix Maybe 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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Release v20260328a