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2x Lite by ozone-research

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  Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ozone-research/2x-lite 

2x Lite Benchmarks

LLME Score: 0.22816
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
2x Lite (ozone-research/2x-lite)

2x Lite Parameters and Internals

LLM Name2x Lite
Repository 🤗https://huggingface.co/ozone-research/2x-lite 
Model Size14b
Required VRAM59 GB
Updated2025-05-21
Maintainerozone-research
Model Typeqwen2
Instruction-BasedYes
Model Files  4.7 GB: 1-of-12   5.0 GB: 2-of-12   4.9 GB: 3-of-12   5.0 GB: 4-of-12   4.9 GB: 5-of-12   5.0 GB: 6-of-12   4.9 GB: 7-of-12   5.0 GB: 8-of-12   4.9 GB: 9-of-12   5.0 GB: 10-of-12   4.9 GB: 11-of-12   4.8 GB: 12-of-12
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typefloat32
Errorsreplace

Best Alternatives to 2x Lite

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 14B Instruct 1M986K / 29.6 GB141948306
T3Q Qwen2.5 14B V1.0 E3986K / 29.7 GB69026
ZYH LLM Qwen2.5 14B V4986K / 29.7 GB1126
Qwen2.5 14B 1M YOYO V3986K / 29.7 GB2544
ZYH LLM Qwen2.5 14B V3986K / 29.7 GB1388
Qwen2.5 14B YOYO Latest V2986K / 29.7 GB1290
Impish QWEN 14B 1M986K / 29.7 GB16717
Qwen2.5 14B YOYO V4986K / 29.7 GB104
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB234
Q2.5 14B Instruct 1M Harmony986K / 29.7 GB131
Note: green Score (e.g. "73.2") means that the model is better than ozone-research/2x-lite.

Rank the 2x Lite 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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Release v20241227
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