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Merged16 Kto Qwen3 14B by Nitish035

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Merged16 Kto Qwen3 14B is an open-source language model by Nitish035. Features: 14b LLM, VRAM: 29.5GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.19.

  4bit Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-14b-u...   Conversational   En   Endpoints compatible   Quantized   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/Nitish035/merged16_kto_Qwen3-14b 

Merged16 Kto Qwen3 14B Benchmarks

LLME Score: 0.19393
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Merged16 Kto Qwen3 14B (Nitish035/merged16_kto_Qwen3-14b)

Merged16 Kto Qwen3 14B Parameters and Internals

LLM NameMerged16 Kto Qwen3 14B
Repository 🤗https://huggingface.co/Nitish035/merged16_kto_Qwen3-14b 
Base Model(s)  Qwen3 14B Unsloth Bnb 4bit   unsloth/Qwen3-14B-unsloth-bnb-4bit
Model Size14b
Required VRAM29.5 GB
Updated2026-05-19
MaintainerNitish035
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 Version4.52.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Merged16 Kto Qwen3 14B

Best Alternatives
Context / RAM
Downloads
Likes
Qwen3 14B Unsloth Bnb 4bit40K / 11.2 GB22009417
Prototie Ai40K / 29.5 GB3850
Qwen3 14B MLX 4bit40K / 8.3 GB495366
Qwen3 14B MLX 8bit40K / 15.2 GB164565
Qwen3 14B Bnb 4bit40K / 9.9 GB88806
Hermes 4 14B 4bit40K / 8.3 GB11225
Qwen3 14B 4bit40K / 8.3 GB55945
Hermes 4 14B 8bit40K / 15.7 GB3682
Qwen3 14B MLX 4bit40K / 7.9 GB132814
...wen3 14B Non Thinking V6 16bit40K / 29.5 GB180
Note: green Score (e.g. "73.2") means that the model is better than Nitish035/merged16_kto_Qwen3-14b.

Rank the Merged16 Kto Qwen3 14B 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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