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0x Lite by ozone-ai

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-14b-in...   Conversational   Dataset:lmsys/lmsys-chat-1m   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/ozone-ai/0x-lite 

0x Lite Benchmarks

MMLU Pro: 46.49
GPQA: 9.28
MUSR: 11.76
BBH: 47.53
IFEval: 77.4 vs 88 (so35)-12%
MATH Lvl 5: 50.45
LLME Score: 0.39753
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
0x Lite (ozone-ai/0x-lite)

0x Lite Parameters and Internals

LLM Name0x Lite
Repository 🤗https://huggingface.co/ozone-ai/0x-lite 
Base Model(s)  Qwen/Qwen2.5-14B-Instruct   Qwen/Qwen2.5-14B-Instruct
Model Size14b
Required VRAM29.7 GB
Updated2025-02-20
Maintainerozone-ai
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 zh
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

Best Alternatives to 0x Lite

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 14B Instruct 1M986K / 29.6 GB91135306
T3Q Qwen2.5 14B V1.0 E3986K / 29.7 GB106525
Qwen2.5 14B 1M YOYO V3986K / 29.7 GB2544
ZYH LLM Qwen2.5 14B V4986K / 29.7 GB706
ZYH LLM Qwen2.5 14B V3986K / 29.7 GB2108
Impish QWEN 14B 1M986K / 29.7 GB23516
Qwen2.5 14B YOYO Latest V2986K / 29.7 GB1290
Qwen2.5 14B YOYO V4986K / 29.7 GB134
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB344
Calcium Opus 14B Elite 1M986K / 29.7 GB254
Note: green Score (e.g. "73.2") means that the model is better than ozone-ai/0x-lite.

Rank the 0x 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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