Qwen2.5 Coder 0.5B Instruct MIFT En Manywords 2000 by Hachipo

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Qwen2.5 Coder 0.5B Instruct MIFT En Manywords 2000 is an open-source language model by Hachipo. Features: 0.5b LLM, VRAM: 2GB, Context: 32K, Instruction-Based, Code Generating, LLM Explorer Score: 0.18.

  Arxiv:1910.09700   Autotrain compatible   Codegen   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sft   Trl

Qwen2.5 Coder 0.5B Instruct MIFT En Manywords 2000 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 Coder 0.5B Instruct MIFT En Manywords 2000 (Hachipo/Qwen2.5-Coder-0.5B-Instruct_MIFT-en_manywords_2000)
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Qwen2.5 Coder 0.5B Instruct MIFT En Manywords 2000 Parameters and Internals

LLM NameQwen2.5 Coder 0.5B Instruct MIFT En Manywords 2000
Repository ๐Ÿค—https://huggingface.co/Hachipo/Qwen2.5-Coder-0.5B-Instruct_MIFT-en_manywords_2000 
Model Size0.5b
Required VRAM2 GB
Updated2025-09-29
MaintainerHachipo
Model Typeqwen2
Instruction-BasedYes
Model Files  2.0 GB
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.47.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Hachipo/Qwen2.5-Coder-0.5B-Instruct_MIFT-en_manywords_2000.

Rank the Qwen2.5 Coder 0.5B Instruct MIFT En Manywords 2000 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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Release v20260328a