Qwen3 14B Non Thinking V6 16bit by thomasavare

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  4bit   Autotrain compatible Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-14b-u...   Conversational   En   Endpoints compatible   Quantized   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Unsloth

Qwen3 14B Non Thinking V6 16bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 14B Non Thinking V6 16bit (thomasavare/Qwen3-14B-non-thinking-v6-16bit)
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Qwen3 14B Non Thinking V6 16bit Parameters and Internals

LLM NameQwen3 14B Non Thinking V6 16bit
Repository ๐Ÿค—https://huggingface.co/thomasavare/Qwen3-14B-non-thinking-v6-16bit 
Base Model(s)  Qwen3 14B Unsloth Bnb 4bit   unsloth/Qwen3-14B-unsloth-bnb-4bit
Model Size14b
Required VRAM29.5 GB
Updated2025-09-06
Maintainerthomasavare
Model Typeqwen3
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   5.0 GB: 4-of-6   4.9 GB: 5-of-6   4.7 GB: 6-of-6
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than thomasavare/Qwen3-14B-non-thinking-v6-16bit.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124