Npc Agentic 7B V3 by ramankrishna10

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Npc Agentic 7B V3 is an open-source language model by ramankrishna10. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Instruction-Based.

  Agent Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Bottensor   Conversational   En   Endpoints compatible   Instruct   Npc   Qwen2   Reasoning   Region:us   Safetensors   Sharded   Tensorflow

Npc Agentic 7B V3 Parameters and Internals

LLM NameNpc Agentic 7B V3
Repository 🤗https://huggingface.co/ramankrishna10/npc-agentic-7b-v3 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2026-05-01
Maintainerramankrishna10
Model Typeqwen2
Instruction-BasedYes
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
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.57.6
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Errorsreplace

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Qwen2.5 7B Instruct 1M986K / 15.4 GB60563368
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB172
Qwen2.5 7B RRP 1M986K / 15.2 GB266
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB297
Q2.5 Instruct 1M Harmony986K / 15.2 GB42
Impish QWEN 7B 1M986K / 15.2 GB76
COCO 7B Instruct 1M986K / 15.2 GB214
Apollo 7B986K / 15.2 GB150
Graph R1 7B986K / 15.3 GB53
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB160
Note: green Score (e.g. "73.2") means that the model is better than ramankrishna10/npc-agentic-7b-v3.

Rank the Npc Agentic 7B V3 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