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Cpp Qwen3 4B Instruct 2507 by MCES10-Software

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Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr...   Code   Conversational Dataset:mces10-software/cpp-co...   En   Instruct   Mlx   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MCES10-Software/cpp-qwen3-4B-Instruct-2507 

Cpp Qwen3 4B Instruct 2507 Benchmarks

LLME Score: 0.26818
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cpp Qwen3 4B Instruct 2507 (MCES10-Software/cpp-qwen3-4B-Instruct-2507)
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Cpp Qwen3 4B Instruct 2507 Parameters and Internals

LLM NameCpp Qwen3 4B Instruct 2507
Repository 🤗https://huggingface.co/MCES10-Software/cpp-qwen3-4B-Instruct-2507 
Base Model(s)  Qwen3 4B Instruct 2507   Qwen/Qwen3-4B-Instruct-2507
Model Size4b
Required VRAM8 GB
Updated2025-09-06
MaintainerMCES10-Software
Model Typeqwen3
Instruction-BasedYes
Model Files  5.3 GB: 1-of-2   2.7 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Qwen3 4B Instruct 2507256K / 8.1 GB917558269
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...4B Thinking 2507 DAG Reasoning256K / 16.1 GB91984
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Coder0.1.4.6256K / 8.1 GB4930
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... Instruct 2507 Gabliterated V2256K / 8.1 GB3078
...nstruct 2507 20250808 233922 0256K / 8.1 GB1365
Note: green Score (e.g. "73.2") means that the model is better than MCES10-Software/cpp-qwen3-4B-Instruct-2507.

Rank the Cpp Qwen3 4B Instruct 2507 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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