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Mita V1.2 7B 2 24 2025 by formulae

By formulae · 6 downloads

Mita V1.2 7B 2 24 2025 is an open-source language model by formulae. Features: 7b LLM, VRAM: 15.2GB, Context: 4K, Instruction-Based, Merged, LLM Explorer Score: 0.24.

  Merged Model   Arxiv:2212.04089   Arxiv:2311.03099 Base model:nvidia/acemath-7b-i... Base model:open-r1/openr1-qwen... Base model:qwen/qwen2.5-math-7...   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Mita V1.2 7B 2 24 2025 Parameters and Internals

LLM NameMita V1.2 7B 2 24 2025
Repository πŸ€—https://huggingface.co/formulae/mita-v1.2-7b-2-24-2025 
Base Model(s)  Qwen/Qwen2.5-Math-7B-Instruct   AceMath 7B Instruct   OpenR1 Qwen 7B   Qwen/Qwen2.5-Math-7B-Instruct   nvidia/AceMath-7B-Instruct   open-r1/OpenR1-Qwen-7B
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2026-07-27
Maintainerformulae
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
Context Length4096
Model Max Length4096
Transformers Version4.48.2
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 formulae/mita-v1.2-7b-2-24-2025.