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Qwen3 30M Fp16 by Mostafa8Mehrabi

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  30m-parameters   Autotrain compatible Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-0.6b   Endpoints compatible   Fp16   Gpt2-tokenizer   Quantized   Qwen   Qwen3   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Mostafa8Mehrabi/qwen3-30m-fp16 

Qwen3 30M Fp16 Benchmarks

LLME Score: 0.25897
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 30M Fp16 (Mostafa8Mehrabi/qwen3-30m-fp16)
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Qwen3 30M Fp16 Parameters and Internals

LLM NameQwen3 30M Fp16
Repository 🤗https://huggingface.co/Mostafa8Mehrabi/qwen3-30m-fp16 
Base Model(s)  Qwen/Qwen3-0.6B   Qwen/Qwen3-0.6B
Model Size0.6b
Required VRAM0.1 GB
Updated2025-07-19
MaintainerMostafa8Mehrabi
Model Typeqwen3
Model Files  0.1 GB
Quantization Typefp16
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.52.4
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size50257
Torch Data Typefloat16
Errorsreplace

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Qwen3 0.6B Unsloth Bnb 4bit40K / 0.6 GB6462612
... Model Era Lora 128 Qwen3 0.6B40K / 1.2 GB17850
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Qwen3 0.6B Acot40K / 1.2 GB50
Fizik 0.6B Preview40K / 1.2 GB90
Qwen3 0.6B MLX 4bit38K / 0.3 GB18785
...en3 0.6B Base Unsloth Bnb 4bit32K / 0.6 GB34991
Note: green Score (e.g. "73.2") means that the model is better than Mostafa8Mehrabi/qwen3-30m-fp16.

Rank the Qwen3 30M Fp16 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 v20241124
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