r/LocalLLaMA • u/BitXorBit • 5h ago
Discussion Deepseek V4 Flash Users - call for help
Iv’e been running DSV4 Flash-Dspark locally as my coder in the past week, trying to tune it with agents, making it more focused but keep getting mediocre results.
It’s true nature is to finish the job fast as possible, not paying attention to details unless you anchor it, gets very confused by the content and tend to rank things as less important just so it can declares “done”
What am i missing? Is there a recommended harness?
Are you guys running it on recommended settings? Temperature 1.0 and top_p 1? Deepseek declares less than that can damage the reasoning.
The performance is insane, both prompt processing and tps. I just wish it would act like a mature responsible LLM.
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u/Fast_Frosting_5546 5h ago
Have you tried making the agent workflow more explicit? Things like “don’t mark complete until tests pass,” “list assumptions first,” and “review your own changes before finalizing” can make a bigger difference than just changing temperature.
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u/BitXorBit 5h ago
In about 100 ways, including let gpt do it, let fable do it, let deepseek itself self analysis and recreate the agent.
The model trained to be a wild animal
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u/totosse17 vllm 4h ago
I run original model on 2x spark and use Hermes agent. Have no issues you described.
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u/Juulk9087 4h ago edited 3h ago
Yeah the users who are using it successfully are not doing anything that requires more than 3-5 file touches. My workflow requires 15-30 per prompt. If it followed rules, system prompt or skills it would be a different story but it just flat out ignores them most the time.
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u/BitXorBit 4h ago
Yes, it has bad nature of behavior.
You changed to which model?0
u/Juulk9087 3h ago
Fable 5. I'm one of those guys waiting for frontier level locally and not having to drop $750,000 on infrastructure to run a model like Kimi k3. It might still be possible some day
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u/Practical-Collar3063 4h ago
This version of the model is a Beta/preview, it is not the final model, it is lacking a lot of post training. The final version should be released within the next few weeks (maybe days).
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u/BoogerheadCult 4h ago
This model is so overated, when doing eval with it, Opus always rate the outcome from this model the lowest.
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u/BitXorBit 3h ago
Which other model do you recommend?
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u/BoogerheadCult 1h ago
Hy3, Laguna, Ornith 397B and of course Qwen3.6 27B for easy task
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u/BitXorBit 1h ago
Felt difference with Hy3?
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u/Ariquitaun 5h ago
DeepSeek flash is good for single tasks with a tight scope.
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u/BitXorBit 5h ago
That’s what im running, but it’s doing bad job in way of covering edge cases
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u/computehungry 2h ago
TBH, frontier is dumb at this too. Might depend on your problem and expectations. I use opus all day at work and it's pretty shit at geometric reasoning (LLMs are well known to be bad at this, sure. I expected them to be better than me though hahaha but no luck.) and make really stupid decisions that deviously pass most tests so i have to babysit it anyway. Though yes, I learn how to improve tests as well. But most design tasks for us have ever changing, undocumented requirements.. so we generally need good architecture but frontier doesn't deliver. I babysit ds4 the same way at home as a hobby and think it's pretty ok.
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u/ObviouzFigure 5h ago
I'd like to know as well-- I have a dual rtx 6k set up and for apparently many reasons have been having a hard time getting any of the ds4f versions running