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Qwen1.5 0.5B Chat GGUF by second-state

 »  All LLMs  »  second-state  »  Qwen1.5 0.5B Chat GGUF   URL Share it on

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Qwen1.5 0.5B Chat GGUF is an open-source language model by second-state. Features: 0.5b LLM, VRAM: 0.3GB, Context: 32K, License: other, Quantized, LLM Explorer Score: 0.12.

Base model:quantized:qwen/qwen... Base model:qwen/qwen1.5-0.5b-c...   Chat   Conversational   En   Endpoints compatible   Gguf   Q2   Quantized   Qwen2   Region:us
Model Card on HF 🤗: https://huggingface.co/second-state/Qwen1.5-0.5B-Chat-GGUF 

Qwen1.5 0.5B Chat GGUF Benchmarks

LLME Score: 0.12144
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen1.5 0.5B Chat GGUF (second-state/Qwen1.5-0.5B-Chat-GGUF)
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Qwen1.5 0.5B Chat GGUF Parameters and Internals

Model Type 
chat
Additional Notes 
Quantized by Second State Inc. for optimal performance using the quantization techniques (e.g., Q5_K_M) which ensure minimal quality loss and efficient size for use in various applications.
Supported Languages 
en (proficient)
Input Output 
Input Format:
chatml
Accepted Modalities:
text
LLM NameQwen1.5 0.5B Chat GGUF
Repository 🤗https://huggingface.co/second-state/Qwen1.5-0.5B-Chat-GGUF 
Model NameQwen1.5 0.5B Chat
Model CreatorQwen
Base Model(s)  Qwen/Qwen1.5-0.5B-Chat   Qwen/Qwen1.5-0.5B-Chat
Model Size0.5b
Required VRAM0.3 GB
Updated2026-03-29
Maintainersecond-state
Model Typeqwen2
Model Files  0.3 GB   0.4 GB   0.3 GB   0.3 GB   0.4 GB   0.4 GB   0.4 GB   0.5 GB   0.5 GB   0.5 GB   0.5 GB   0.7 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q2|q4_k|q5_k
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.37.0
Vocabulary Size151936
Torch Data Typebfloat16

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Qwen2 0.5B Bnb 4bit128K / 0.5 GB14613
Qwen2 0.5B 20240829 175401128K / 1 GB60
Note: green Score (e.g. "73.2") means that the model is better than second-state/Qwen1.5-0.5B-Chat-GGUF.

Rank the Qwen1.5 0.5B Chat GGUF Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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