unsloth/DeepSeek-V4.1-Flash-1017-GGUF
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Kurumi Tokisaki
TkskKurumi
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liked a model 7 days ago
unsloth/DeepSeek-V4.1-Flash-1017-GGUF reacted to mithulaartigala's post with 🧠 8 days ago
here is my qwen is BETTER than the human brain:
human-brain-bf16.gguf:
- no cuda support
- 3.8B old model BTW
- BAD information retention
- the gguf files doesn't even load
- no Q4KM (god did this intentionally to piss off the llama.cpp community trust)
- no finetunability :(
- NOT opensource
- training code is hidden, AND expects us to reverse engineer it (genuinely messed up, and disrespectful to the opensource community)
now, qwen on the other hand:
- available cuda support ✅
- very very new (and gets contant updates) ✅
- VERY good information retention ✅
- GGUF files loads properly ✅
- Q4_K_M support available ✅
- very fine tunable ✅
- open source as it can possibly get ✅
- many code and datasets are free and open source ✅
verdict: qwen beter ✅✅✅ 👍 new activity 12 days ago
unsloth/Qwen3.8-Flash-Next-GGUF:llama.cpp merge weights updateOrganizations
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liked a
model 7 days ago
reacted to mithulaartigala's post with 🧠 8 days ago
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here is my qwen is BETTER than the human brain:
human-brain-bf16.gguf:
- no cuda support
- 3.8B old model BTW
- BAD information retention
- the gguf files doesn't even load
- no Q4KM (god did this intentionally to piss off the llama.cpp community trust)
- no finetunability :(
- NOT opensource
- training code is hidden, AND expects us to reverse engineer it (genuinely messed up, and disrespectful to the opensource community)
now, qwen on the other hand:
- available cuda support ✅
- very very new (and gets contant updates) ✅
- VERY good information retention ✅
- GGUF files loads properly ✅
- Q4_K_M support available ✅
- very fine tunable ✅
- open source as it can possibly get ✅
- many code and datasets are free and open source ✅
verdict: qwen beter ✅✅✅ 👍
human-brain-bf16.gguf:
- no cuda support
- 3.8B old model BTW
- BAD information retention
- the gguf files doesn't even load
- no Q4KM (god did this intentionally to piss off the llama.cpp community trust)
- no finetunability :(
- NOT opensource
- training code is hidden, AND expects us to reverse engineer it (genuinely messed up, and disrespectful to the opensource community)
now, qwen on the other hand:
- available cuda support ✅
- very very new (and gets contant updates) ✅
- VERY good information retention ✅
- GGUF files loads properly ✅
- Q4_K_M support available ✅
- very fine tunable ✅
- open source as it can possibly get ✅
- many code and datasets are free and open source ✅
verdict: qwen beter ✅✅✅ 👍
- 11 replies
llama.cpp merge weights update
#87 opened 12 days ago
by TkskKurumi
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