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Neuron V1.1 Distill Qwen2.5 3B by Neura-Tech-AI

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Neuron V1.1 Distill Qwen2.5 3B is an open-source language model by Neura-Tech-AI. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.28.

  3b Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b-ins...   Conversational   Dataset:custom-neura-tech-data   En   Endpoints compatible   Hi   Instruct   Neura-tech-ai   Neuron   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Neura-Tech-AI/Neuron-V1.1-Distill-Qwen2.5-3B 

Neuron V1.1 Distill Qwen2.5 3B Benchmarks

LLME Score: 0.27959
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Neuron V1.1 Distill Qwen2.5 3B (Neura-Tech-AI/Neuron-V1.1-Distill-Qwen2.5-3B)
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Neuron V1.1 Distill Qwen2.5 3B Parameters and Internals

LLM NameNeuron V1.1 Distill Qwen2.5 3B
Repository 🤗https://huggingface.co/Neura-Tech-AI/Neuron-V1.1-Distill-Qwen2.5-3B 
Base Model(s)  Qwen/Qwen2.5-3B-Instruct   Qwen/Qwen2.5-3B-Instruct
Model Size3b
Required VRAM6.2 GB
Updated2026-06-04
MaintainerNeura-Tech-AI
Model Typeqwen2
Instruction-BasedYes
Model Files  6.2 GB
Supported Languagesen hi
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version5.9.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Errorsreplace

Best Alternatives to Neuron V1.1 Distill Qwen2.5 3B

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SmallThinker 3B Preview32K / 6.8 GB30529412
LeeChanRX 3B Instruct32K / 6.2 GB2740
BastiAI 2 Instruct32K / 6.2 GB2280
FlameDesigner Qwen2.5 3B V132K / 6.2 GB1611
Qwen2.5 Coder 3B Instruct32K / 6.2 GB451109101
Chirp 0132K / 6.2 GB714
Note: green Score (e.g. "73.2") means that the model is better than Neura-Tech-AI/Neuron-V1.1-Distill-Qwen2.5-3B.

Rank the Neuron V1.1 Distill Qwen2.5 3B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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