EdgeRunner Tactical 7B by edgerunner-ai

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  Arxiv:2405.00675   Autotrain compatible   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

EdgeRunner Tactical 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EdgeRunner Tactical 7B (edgerunner-ai/EdgeRunner-Tactical-7B)

EdgeRunner Tactical 7B Parameters and Internals

LLM NameEdgeRunner Tactical 7B
Repository ๐Ÿค—https://huggingface.co/edgerunner-ai/EdgeRunner-Tactical-7B 
Model Size7b
Required VRAM30.5 GB
Updated2025-01-24
Maintaineredgerunner-ai
Model Typeqwen2
Model Files  5.0 GB: 1-of-7   4.8 GB: 2-of-7   4.9 GB: 3-of-7   4.9 GB: 4-of-7   5.0 GB: 5-of-7   3.7 GB: 6-of-7   2.2 GB: 7-of-7
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.42.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than edgerunner-ai/EdgeRunner-Tactical-7B.

Rank the EdgeRunner Tactical 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227