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Qwen3 14B by Qwen

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  Arxiv:2309.00071   Arxiv:2505.09388   Autotrain compatible Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-14b-base   Conversational   Endpoints compatible   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-14B 

Qwen3 14B Benchmarks

LLME Score: 0.42453
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 14B (Qwen/Qwen3-14B)
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Qwen3 14B Parameters and Internals

LLM NameQwen3 14B
Repository 🤗https://huggingface.co/Qwen/Qwen3-14B 
Base Model(s)  Qwen3 14B Base   Qwen/Qwen3-14B-Base
Model Size14b
Required VRAM29.7 GB
Updated2025-07-20
MaintainerQwen
Model Typeqwen3
Model Files  3.8 GB: 1-of-8   4.0 GB: 2-of-8   4.0 GB: 3-of-8   4.0 GB: 4-of-8   4.0 GB: 5-of-8   4.0 GB: 6-of-8   4.0 GB: 7-of-8   1.9 GB: 8-of-8
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen3 14B

Model
Likes
Downloads
VRAM
Qwen3 14B AWQ2414879610 GB
Qwen3 14B GGUF59263463 GB
Qwen3 14B Unsloth Bnb 4bit76974811 GB
Qwen3 14B MLX 4bit4456398 GB
Qwen3 14B 128K GGUF1640683 GB
Qwen3 14B 4bit AWQ311967 GB
Qwen3 14B 4bit DWQ 05312521808 GB

Best Alternatives to Qwen3 14B

Best Alternatives
Context / RAM
Downloads
Likes
Qwen3 14B FP840K / 16.4 GB1607025
Dhanishtha 2.0 Preview40K / 29.5 GB46553
Qwen3 14B40K / 29.5 GB1233810
Qwen3 14B Abliterated40K / 29.5 GB164337
GrayLine Qwen3 14B40K / 29.5 GB100224
Smoothie Qwen3 14B40K / 29.5 GB23785
...Omega Directive Qwen3 14B V1.140K / 29.5 GB110721
UIGEN T3 14B Preview40K / 29.5 GB13420
Qwen3 14B MLX Bf1640K / 29.6 GB1613
...Deepresearch No Think 100 Step40K / 29.5 GB2162

Rank the Qwen3 14B Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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