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Teleut 7B by allura-org

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  Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-7b   Conversational Dataset:allenai/tulu-3-sft-mix...   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/allura-org/Teleut-7b 

Teleut 7B Benchmarks

MMLU Pro: 34.79
GPQA: 10.18
MUSR: 17.67
BBH: 30.86
IFEval: 63.79 vs 88 (so35)-27.5%
MATH Lvl 5: 19.56
LLME Score: 0.33188
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Teleut 7B (allura-org/Teleut-7b)

Teleut 7B Parameters and Internals

LLM NameTeleut 7B
Repository 🤗https://huggingface.co/allura-org/Teleut-7b 
Base Model(s)  Qwen/Qwen2.5-7B   Qwen/Qwen2.5-7B
Model Size7b
Required VRAM15.2 GB
Updated2025-02-05
Maintainerallura-org
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4   0.0 GB
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than allura-org/Teleut-7b.

Rank the Teleut 7B 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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