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Q2.5 R1 7B by Triangle104

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  Merged Model   Autotrain compatible Base model:nbeerbower/r1-qwen-... Base model:unsloth/qwen2.5-7b-...   Endpoints compatible   Instruct   Lora   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Triangle104/Q2.5-R1-7B 

Q2.5 R1 7B Benchmarks

MMLU Pro: 2
GPQA: 0.34
MUSR: 2.69
BBH: 2.55
IFEval: 13.46 vs 88 (so35)-84.7%
MATH Lvl 5: 1.66
LLME Score: 0.23438
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Q2.5 R1 7B (Triangle104/Q2.5-R1-7B)
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Q2.5 R1 7B Parameters and Internals

LLM NameQ2.5 R1 7B
Repository 🤗https://huggingface.co/Triangle104/Q2.5-R1-7B 
Base Model(s)  unsloth/Qwen2.5-7B-Instruct   nbeerbower/R1-Qwen-7B-LORA   unsloth/Qwen2.5-7B-Instruct   nbeerbower/R1-Qwen-7B-LORA
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-07-02
MaintainerTriangle104
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151665
LoRA ModelYes
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Q2.5 R1 7B

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB1601961334
Qwen2.5 7B RRP 1M986K / 15.2 GB17226
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB152
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB137
Q2.5 Instruct 1M Harmony986K / 15.2 GB112
Impish QWEN 7B 1M986K / 15.2 GB794
COCO 7B Instruct 1M986K / 15.2 GB234
Qwen2.5 7B Instruct 1M986K / 15.2 GB20282
Apollo 7B986K / 15.2 GB130
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB110
Note: green Score (e.g. "73.2") means that the model is better than Triangle104/Q2.5-R1-7B.

Rank the Q2.5 R1 7B 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  
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Multi-Language Support and Translation  

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