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Cybertron V4 Qw7B MGS by fblgit

By fblgit · 10 downloads

Cybertron V4 Qw7B MGS is an open-source language model by fblgit. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, License: other, Instruction-Based, LLM Explorer Score: 0.24.

  Arxiv:2406.08464   Arxiv:2407.10671   Arxiv:2410.21228 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Conversational Dataset:magpie-align/magpie-qw...   Deploy:azure   En   Endpoints compatible   Generated from trainer   Instruct   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Cybertron V4 Qw7B MGS Parameters and Internals

LLM NameCybertron V4 Qw7B MGS
Repository πŸ€—https://huggingface.co/fblgit/cybertron-v4-qw7B-MGS 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2026-08-07
Maintainerfblgit
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
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.45.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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