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MLR Executor Qwen 7B by sxiong

By sxiong · 483 downloads

MLR Executor Qwen 7B is an open-source language model by sxiong. Features: 7b LLM, VRAM: 15.3GB, Context: 128K.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-math-7...   Conversational   Dataset:sxiong/mlr sft data   Qwen2   Qwen2.5   Reasoning   Region:us   Safetensors   Sharded   Tensorflow

MLR Executor Qwen 7B Parameters and Internals

LLM NameMLR Executor Qwen 7B
Repository 🤗https://huggingface.co/sxiong/MLR_executor_Qwen-7B 
Base Model(s)  Qwen/Qwen2.5-Math-7B   Qwen/Qwen2.5-Math-7B
Model Size7b
Required VRAM15.3 GB
Updated2026-11-04
Maintainersxiong
Model Typeqwen2
Model Files  2.5 GB: 1-of-7   2.4 GB: 2-of-7   2.5 GB: 3-of-7   2.5 GB: 4-of-7   2.5 GB: 5-of-7   1.8 GB: 6-of-7   1.1 GB: 7-of-7
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.48.1
Tokenizer ClassLlamaTokenizerFast
Beginning of Sentence Token<|begin▁of▁sentence|>
End of Sentence Token<|end▁of▁sentence|>
Vocabulary Size152064
Torch Data Typebfloat16

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Qwen2.5 7B Preview986K / 15.2 GB100
Qwen2.5 7B Instruct 1M986K / 15.4 GB52534373
Rewnozom986K / 30.5 GB7421
Hush Qwen2.5 7B V1.2986K / 15.2 GB41
Hush Qwen2.5 7B V1.1986K / 15.2 GB51
Hush Qwen2.5 7B V1.4986K / 15.2 GB81
Hush Qwen2.5 7B Preview986K / 15.2 GB50
Hush Qwen2.5 7B V1.3986K / 15.2 GB102
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB102
Qwen 2.5 7B Exp Sce986K / 15.2 GB102
Note: green Score (e.g. "73.2") means that the model is better than sxiong/MLR_executor_Qwen-7B.