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Qwen2.5 7B Instruct Math Dare Linear by nthehai01

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Qwen2.5 7B Instruct Math Dare Linear is an open-source language model by nthehai01. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.18.

  Merged Model   Arxiv:2311.03099   Ara   Autotrain compatible   Base model:qwen/qwen2.5-7b Base model:qwen/qwen2.5-7b-ins... Base model:qwen/qwen2.5-math-7...   Conversational   Deu   Endpoints compatible   Eng   Fra   Instruct   Ita   Jpn   Kor   Por   Qwen2   Region:us   Rus   Safetensors   Sharded   Spa   Tensorflow   Tha   Vie   Zho
Model Card on HF 🤗: https://huggingface.co/nthehai01/Qwen2.5-7B-Instruct-Math-dare-linear 

Qwen2.5 7B Instruct Math Dare Linear Benchmarks

LLME Score: 0.18425
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 7B Instruct Math Dare Linear (nthehai01/Qwen2.5-7B-Instruct-Math-dare-linear)
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Qwen2.5 7B Instruct Math Dare Linear Parameters and Internals

LLM NameQwen2.5 7B Instruct Math Dare Linear
Repository 🤗https://huggingface.co/nthehai01/Qwen2.5-7B-Instruct-Math-dare-linear 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B   Qwen/Qwen2.5-Math-7B   Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B   Qwen/Qwen2.5-Math-7B
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-09-18
Maintainernthehai01
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
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Qwen2.5 7B Instruct 1M986K / 15.4 GB107707362
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Qwen2.5 7B Sky R1 Mini986K / 15.2 GB70
Note: green Score (e.g. "73.2") means that the model is better than nthehai01/Qwen2.5-7B-Instruct-Math-dare-linear.

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