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Oxy 1 Small by oxyapi

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-14b-in...   Conversational   En   Endpoints compatible   Finetuned   Instruct   Model-index   Qwen2   Qwen2.5   Region:us   Role-play   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/oxyapi/oxy-1-small 

Oxy 1 Small Benchmarks

MMLU Pro: 44.45
GPQA: 16.22
MUSR: 16.28
BBH: 41.18
IFEval: 62.45 vs 88 (so35)-29%
MATH Lvl 5: 18.28
LLME Score: 0.43659
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Oxy 1 Small (oxyapi/oxy-1-small)

Oxy 1 Small Parameters and Internals

LLM NameOxy 1 Small
Repository 🤗https://huggingface.co/oxyapi/oxy-1-small 
Base Model(s)  Qwen/Qwen2.5-14B-Instruct   Qwen/Qwen2.5-14B-Instruct
Model Size14b
Required VRAM29.7 GB
Updated2025-02-05
Maintaineroxyapi
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
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16

Quantized Models of the Oxy 1 Small

Model
Likes
Downloads
VRAM
Oxy 1 Small Mlx 8bit2415 GB

Best Alternatives to Oxy 1 Small

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 14B Instruct 1M986K / 29.6 GB10662218
Qwen2.5 14B DeepSeek R1 1M986K / 29.7 GB5417
Impish QWEN 14B 1M986K / 29.7 GB9210
Calcium Opus 14B Elite 1M986K / 29.7 GB4610
Q2.5 14B Instruct 1M Harmony986K / 29.7 GB191
...wen2.5 14B Instruct 1M Unalign986K / 29.7 GB2890
Mergekit Model Stock Injkqri986K / 29.7 GB181
Lamarck 14B V0.6128K / 29.7 GB121013
Qwen2.5 14B Vimarckoso V3128K / 29.7 GB224711
Calcium Opus 14B Elite128K / 29.7 GB11610
Note: green Score (e.g. "73.2") means that the model is better than oxyapi/oxy-1-small.

Rank the Oxy 1 Small 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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