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Fft Qwen by MMEX

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Fft Qwen is an open-source language model by MMEX. Features: 596m LLM, Context: 32K, LLM Explorer Score: 0.19.

  Qwen3   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/MMEX/fft_qwen 

Fft Qwen Benchmarks

LLME Score: 0.19321
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Fft Qwen (MMEX/fft_qwen)
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Fft Qwen Parameters and Internals

LLM NameFft Qwen
Repository 🤗https://huggingface.co/MMEX/fft_qwen 
Model Size596m
Required VRAM0 GB
Updated2025-09-18
MaintainerMMEX
Model Typeqwen3
Model Files  1.2 GB   2.4 GB   0.0 GB   0.0 GB
Model ArchitectureQwen3ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than MMEX/fft_qwen.

Rank the Fft Qwen Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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