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Qwen2 1.5B Instruct MoE CODE Assistant 16bit by Agnuxo

By Agnuxo · 9 downloads

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: 0.14.

  Arxiv:2604.19792   16bit   Cajal   Code-generation-assistant   Conversational   En   Es   Instruct   Local-ai   Moe   P2pclaw   Quantized   Qwen2   Region:us   Safetensors   Scientific-research

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 πŸ€—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
Updated2026-09-09
MaintainerAgnuxo
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB
Supported Languagesen es
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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