Hoping for Optimized Smarter Upcoming Models .... Like DeepSeek-V4.1-Flash( KVCache + Engram) in Small/Medium/Big sizes
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| It's still a dream for many folks to run medium size(30B range) models @ Q8 with Unquantized KVCache (256K Context) on their GPUs. It would be awesome to have DeepSeek-V4.1-Flash's KVCache + Engram for all Upcoming models. Even for big models. Engram - Heard that approximately 1/3-1/2 of Model size. Might come in different size range too. So 10-15 GB for 30B models. Here few models with approximate numbers. Current models in Odd rows & Future/Fictional models in even rows(Bold). I just put 1GB for 256K context below though DeepSeek-V4.1-Flash takes only same 1GB for 1 million context.
Possibly there might be few more things(Please share those) to keep these number down. So I think 32GB VRAM is more than good enough for Upcoming (Optimized Smarter) Models. RAM is enough for Engram. By above logic(based on Qwen4.0-27B), people could run Q4 of 54B models with same 32GB VRAM. Maybe next year onwards, inventions could make 24GB enough for similar size models. [link] [comments] |
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