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Qwen2 1.5B Instruct MoE CODE Assistant 16bit by Agnuxo

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Qwen2 1.5B Instruct MoE CODE Assistant 16bit is an open-source language model by Agnuxo. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.15.

  16bit Base model:agnuxo/qwen2-1.5b-i... Base model:finetune:agnuxo/qwe...   Conversational   En   Endpoints compatible   Instruct   Moe   Quantized   Qwen2   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Agnuxo/Qwen2-1.5B-Instruct_MOE_CODE_assistant_16bit 

Qwen2 1.5B Instruct MoE CODE Assistant 16bit Benchmarks

LLME Score: 0.14707
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 1.5B Instruct MoE CODE Assistant 16bit (Agnuxo/Qwen2-1.5B-Instruct_MOE_CODE_assistant_16bit)
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Qwen2 1.5B Instruct MoE CODE Assistant 16bit Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Applications:
multi-expert question-answering
Primary Use Cases:
programming, biology, mathematics
Limitations:
Only the domains covered by the available expert LLMs
Additional Notes 
The model is part of a system that dynamically loads and utilizes relevant expert models.
Supported Languages 
en (high)
Training Details 
Methodology:
Trained 2x faster with Unsloth and Huggingface's TRL library.
Model Architecture:
Multi-Expert Question Answering System
Input Output 
Input Format:
Text question
Accepted Modalities:
text
Output Format:
Text answer
LLM NameQwen2 1.5B Instruct MoE CODE Assistant 16bit
Repository 🤗https://huggingface.co/Agnuxo/Qwen2-1.5B-Instruct_MOE_CODE_assistant_16bit 
Base Model(s)  Agnuxo/Qwen2-1.5B-Instruct_MOE_assistant_16bit   Agnuxo/Qwen2-1.5B-Instruct_MOE_assistant_16bit
Model Size1.5b
Required VRAM3.1 GB
Updated2026-05-07
MaintainerAgnuxo
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB
Supported Languagesen
Quantization Type16bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Agnuxo/Qwen2-1.5B-Instruct_MOE_CODE_assistant_16bit.

Rank the Qwen2 1.5B Instruct MoE CODE Assistant 16bit 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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