LLM EXPLORER 59,420 MODELS INDEXED

EdgeRunner Command Nested by edgerunner-ai

By edgerunner-ai · 7 downloads
HF Repo ↗ Copy URL

EdgeRunner Command Nested is an open-source language model by edgerunner-ai. Features: 7b LLM, VRAM: 30.5GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.15.

  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/edgerunner-ai/EdgeRunner-Command-Nested 

EdgeRunner Command Nested Parameters and Internals

LLM NameEdgeRunner Command Nested
Repository 🤗https://huggingface.co/edgerunner-ai/EdgeRunner-Command-Nested 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM30.5 GB
Updated2025-09-23
Maintaineredgerunner-ai
Model Typeqwen2
Instruction-BasedYes
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 Version4.46.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat32
Errorsreplace

Best Alternatives to EdgeRunner Command Nested

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB52534373
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB102
Qwen2.5 7B RRP 1M986K / 15.2 GB56
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB87
Q2.5 Instruct 1M Harmony986K / 15.2 GB42
Impish QWEN 7B 1M986K / 15.2 GB46
COCO 7B Instruct 1M986K / 15.2 GB94
Apollo 7B986K / 15.2 GB80
Graph R1 7B986K / 15.3 GB73
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB60
Note: green Score (e.g. "73.2") means that the model is better than edgerunner-ai/EdgeRunner-Command-Nested.