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TQ2.5 14B Neon V1 by allura-org

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  Autotrain compatible Base model:arcee-ai/supernova-... Base model:finetune:arcee-ai/s...   Conversational Dataset:allura-org/celeste-1.x... Dataset:allura-org/gryphe-sonn... Dataset:allura-org/niir-c2logs... Dataset:nothingiisreal/claude-... Dataset:nothingiisreal/short-s...   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/allura-org/TQ2.5-14B-Neon-v1 

TQ2.5 14B Neon V1 Benchmarks

MMLU Pro: 47.25
GPQA: 16.22
MUSR: 17.29
BBH: 50.51
IFEval: 67.54 vs 88 (so35)-23.3%
MATH Lvl 5: 36.03
LLME Score: 0.34054
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TQ2.5 14B Neon V1 (allura-org/TQ2.5-14B-Neon-v1)

TQ2.5 14B Neon V1 Parameters and Internals

LLM NameTQ2.5 14B Neon V1
Repository 🤗https://huggingface.co/allura-org/TQ2.5-14B-Neon-v1 
Base Model(s)  SuperNova Medius   arcee-ai/SuperNova-Medius
Model Size14b
Required VRAM29.7 GB
Updated2025-04-29
Maintainerallura-org
Model Typeqwen2
Instruction-BasedYes
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 Length131072
Model Max Length131072
Transformers Version4.47.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than allura-org/TQ2.5-14B-Neon-v1.

Rank the TQ2.5 14B Neon V1 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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Release v20241227
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