LLM EXPLORER 59,358 MODELS INDEXED

2x Lite by ozone-research

By ozone-research · 5 downloads

2x Lite is an open-source language model by ozone-research. Features: 14b LLM, VRAM: 59GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.3, ELO: 1337.

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

2x Lite Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

2x Lite Parameters and Internals

LLM Name2x Lite
Repository πŸ€—https://huggingface.co/ozone-research/2x-lite 
Model Size14b
Required VRAM59 GB
Updated2026-08-02
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

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T3Q Qwen2.5 14B V1.0 E3986K / 29.7 GB85228
ZYH LLM Qwen2.5 14B V4986K / 29.7 GB278
Qwen2.5 14B 1M YOYO V3986K / 29.7 GB2544
Qwen2.5 14B YOYO V4986K / 29.7 GB205
Qwen2.5 14B YOYO Latest V2986K / 29.7 GB1290
ZYH LLM Qwen2.5 14B V3986K / 29.7 GB238
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB114
Impish QWEN 14B 1M986K / 29.7 GB5626
Q2.5 14B Instruct 1M Harmony986K / 29.7 GB31
Note: green Score (e.g. "73.2") means that the model is better than ozone-research/2x-lite.