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Lix 14B V0.1 by suayptalha

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Lix 14B V0.1 is an open-source language model by suayptalha. Features: 14b LLM, VRAM: 29.7GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.31.

  Merged Model   Arxiv:2403.19522 Base model:sthenno-com/miscii-...   Base model:wanlige/li-14b-v0.4 Base model:wanlige/li-14b-v0.4...   Conversational   En   Endpoints compatible   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/suayptalha/Lix-14B-v0.1 

Lix 14B V0.1 Benchmarks

MMLU Pro: 47.94
GPQA: 16
MUSR: 13.42
BBH: 51.47
IFEval: 78.13 vs 88 (so35)-11.2%
MATH Lvl 5: 52.95
LLME Score: 0.30861
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Lix 14B V0.1 (suayptalha/Lix-14B-v0.1)
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Lix 14B V0.1 Parameters and Internals

LLM NameLix 14B V0.1
Repository 🤗https://huggingface.co/suayptalha/Lix-14B-v0.1 
Base Model(s)  Miscii 14B 0218   wanlige/li-14b-v0.4-slerp0.1   wanlige/li-14b-v0.4   sthenno-com/miscii-14b-0218   wanlige/li-14b-v0.4-slerp0.1   wanlige/li-14b-v0.4
Merged ModelYes
Model Size14b
Required VRAM29.7 GB
Updated2026-04-18
Maintainersuayptalha
Model Typeqwen2
Model Files  4.9 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   4.8 GB: 6-of-6
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

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Qwen2.5 14B YOYO V4986K / 29.7 GB145
Qwen2.5 14B YOYO Latest V2986K / 29.7 GB1290
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB414
Etr1o V1.2986K / 29.7 GB60
Impish QWEN 14B 1M986K / 29.7 GB3924
Note: green Score (e.g. "73.2") means that the model is better than suayptalha/Lix-14B-v0.1.

Rank the Lix 14B V0.1 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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