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UIGEN T1.1 Qwen 14B by Tesslate

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UIGEN T1.1 Qwen 14B is an open-source language model by Tesslate. Features: 14b LLM, VRAM: 29.7GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.18.

  4bit Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Code   Codegen   Conversational Dataset:smirki/ui reasoning v1...   En   Endpoints compatible   Generation   Instruct   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Ui   Uigen
Model Card on HF 🤗: https://huggingface.co/Tesslate/UIGEN-T1.1-Qwen-14B 

UIGEN T1.1 Qwen 14B Benchmarks

LLME Score: 0.18303
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
UIGEN T1.1 Qwen 14B (Tesslate/UIGEN-T1.1-Qwen-14B)
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UIGEN T1.1 Qwen 14B Parameters and Internals

LLM NameUIGEN T1.1 Qwen 14B
Repository 🤗https://huggingface.co/Tesslate/UIGEN-T1.1-Qwen-14B 
Base Model(s)  Qwen/Qwen2.5-Coder-14B-Instruct   Qwen/Qwen2.5-Coder-14B-Instruct
Model Size14b
Required VRAM29.7 GB
Updated2026-04-10
MaintainerTesslate
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.7 GB: 6-of-6
Supported Languagesen
Quantization Type4bit
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Qwen2.5 14B YOYO V4986K / 29.7 GB145
ZYH LLM Qwen2.5 14B V2986K / 29.7 GB291
Note: green Score (e.g. "73.2") means that the model is better than Tesslate/UIGEN-T1.1-Qwen-14B.

Rank the UIGEN T1.1 Qwen 14B 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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