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PARM V1.5 Base QwQ Qwen 2.5 O1 3B by Pinkstack

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b-ins...   Conversational   En   Endpoints compatible   Instruct   O1   Pytorch   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth   Zh
Model Card on HF 🤗: https://huggingface.co/Pinkstack/PARM-V1.5-base-QwQ-Qwen-2.5-o1-3B 

PARM V1.5 Base QwQ Qwen 2.5 O1 3B Benchmarks

MMLU Pro: 27.9
GPQA: 6.26
MUSR: 15.32
BBH: 26.33
IFEval: 50.85 vs 88 (so35)-42.2%
MATH Lvl 5: 16.92
LLME Score: 0.31322
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
PARM V1.5 Base QwQ Qwen 2.5 O1 3B (Pinkstack/PARM-V1.5-base-QwQ-Qwen-2.5-o1-3B)

PARM V1.5 Base QwQ Qwen 2.5 O1 3B Parameters and Internals

LLM NamePARM V1.5 Base QwQ Qwen 2.5 O1 3B
Repository 🤗https://huggingface.co/Pinkstack/PARM-V1.5-base-QwQ-Qwen-2.5-o1-3B 
Base Model(s)  Qwen/Qwen2.5-3B-Instruct   Qwen/Qwen2.5-3B-Instruct
Model Size3b
Required VRAM6.2 GB
Updated2025-03-12
MaintainerPinkstack
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2   5.0 GB: 1-of-2   1.2 GB: 2-of-2
Supported Languagesen zh
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Pinkstack/PARM-V1.5-base-QwQ-Qwen-2.5-o1-3B.

Rank the PARM V1.5 Base QwQ Qwen 2.5 O1 3B Capabilities

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Release v20241227
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