LLM EXPLORER 59,420 MODELS INDEXED

Qwen2.5 MFANN 7B V1.1 by netcat420

By netcat420 · 11 downloads

Qwen2.5 MFANN 7B V1.1 is an open-source language model by netcat420. Features: 7b LLM, VRAM: 30.5GB, Context: 32K, LLM Explorer Score: 0.24.

  Arxiv:1910.09700   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen2.5 MFANN 7B V1.1 Parameters and Internals

LLM NameQwen2.5 MFANN 7B V1.1
Repository πŸ€—https://huggingface.co/netcat420/qwen2.5-MFANN-7b-v1.1 
Model Size7b
Required VRAM30.5 GB
Updated2026-07-10
Maintainernetcat420
Model Typeqwen2
Model Files  5.0 GB: 1-of-7   4.8 GB: 2-of-7   4.9 GB: 3-of-7   4.9 GB: 4-of-7   5.0 GB: 5-of-7   3.7 GB: 6-of-7   2.2 GB: 7-of-7
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size152064
Torch Data Typefloat32
Errorsreplace

Best Alternatives to Qwen2.5 MFANN 7B V1.1

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Preview986K / 15.2 GB100
Qwen2.5 7B Instruct 1M986K / 15.4 GB52534373
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
Qwen2.5 7B MixStock V0.1986K / 15.2 GB63
Note: green Score (e.g. "73.2") means that the model is better than netcat420/qwen2.5-MFANN-7b-v1.1.