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Qwen2 1.5B Instruct GGUF by second-state

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Qwen2 1.5B Instruct GGUF is an open-source language model by second-state. Features: 1.5b LLM, VRAM: 0.7GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

Base model:quantized:qwen/qwen... Base model:qwen/qwen2-1.5b-ins...   Chat   Conversational   En   Endpoints compatible   Gguf   Instruct   Q2   Quantized   Qwen2   Region:us
Model Card on HF 🤗: https://huggingface.co/second-state/Qwen2-1.5B-Instruct-GGUF 

Qwen2 1.5B Instruct GGUF Benchmarks

LLME Score: 0.13838
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 GGUF (second-state/Qwen2-1.5B-Instruct-GGUF)
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Qwen2 1.5B Instruct GGUF Parameters and Internals

Model Type 
text generation
Supported Languages 
en (Text generation)
Input Output 
Input Format:
Prompt template
Accepted Modalities:
text
LLM NameQwen2 1.5B Instruct GGUF
Repository 🤗https://huggingface.co/second-state/Qwen2-1.5B-Instruct-GGUF 
Model NameQwen2-1.5B-Instruct
Model CreatorQwen
Base Model(s)  Qwen/Qwen2-1.5B-Instruct   Qwen/Qwen2-1.5B-Instruct
Model Size1.5b
Required VRAM0.7 GB
Updated2026-04-21
Maintainersecond-state
Model Typeqwen2
Instruction-BasedYes
Model Files  0.7 GB   0.9 GB   0.8 GB   0.8 GB   0.9 GB   1.0 GB   0.9 GB   1.1 GB   1.1 GB   1.1 GB   1.3 GB   1.6 GB   3.1 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q2|q4_k|q5_k
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Vocabulary Size151936
Torch Data Typebfloat16

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Qwen2 1.5B Instruct GGUF32K / 0.7 GB370
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...1.5B Instruct Unsloth Bnb 4bit32K / 1.5 GB805245
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Qwen2.5 1.5B Instruct Bnb 4bit32K / 1.1 GB299035
Qwen2.5 1.5B Claude32K / 3.1 GB80
...5 Coder 1.5B Instruct Bnb 4bit32K / 1.1 GB142262
Qwen2.5 1.5B Instruct 4bit32K / 0.9 GB99803
Note: green Score (e.g. "73.2") means that the model is better than second-state/Qwen2-1.5B-Instruct-GGUF.

Rank the Qwen2 1.5B Instruct GGUF 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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