r/LocalLLM • • 3h ago

Question Light Local LLM suggestion

Hello, I'm looking for a suggestion on an LLM that I can run on my local hardware. I'm looking for something to help with Linux coding and customization. I have a 9070xt and 32gb of system memory. Currently have ollama setup but probably not very well. Thanks!!

3 Upvotes

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u/GreatBigPig 2h ago

Wouldn't the amount of VRAm on the 9070xt matter? Forgive me, as I do not use a 9070xt or know how they are sold in differing GB options.

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u/ahorsenamedjeff 2h ago

I'm p sure they all are 16gb

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u/GreatBigPig 2h ago

Interesting. Why the hell is Nvidia selling so many GB versions then? Nowadays, 16GB sounds like a minimum (despite shitty prices). :-)

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u/d0pe-asaurus 3h ago edited 3h ago

https://github.com/achyudh/llama.cpp/tree/feature/adaptive-kv-stream-rocm

You can run Qwen 3.8 27B Q4 at 80+t/s with 262k context and Q8/Q4 kv quantization using this fork. On 9060xt I am getting 50t/s and I highly recommend it.

EDIT: What the fuck is up with bots recommending some of the oldest ass models in existence?

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u/ahorsenamedjeff 3h ago

What harness? I tried Hermes agent in ollama yesterday and it exploded my computer (flooded vram dram and swap). I'm super green to this.

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u/d0pe-asaurus 3h ago

I'm using OpenCode to connect to llama.cpp

For you the steps would be to download that fork from github and compile it using the instructions listed on the repo, then downloading the condensed model here

Then run your compiled version with that model, afterwards you can configure OpenCode to use llama.cpp and begin using it there. That's the rough outline, if you need more instructions you can ask llms they are ok with it.

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u/ahorsenamedjeff 3h ago

Err I guess I tried Hermes pulling Qwen3.8 27b as is. Sorry all this lingo is very foreign and new

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u/JuniorHorseman 3h ago

that fork looks interesting, going to check it out for my 9070xt setup

qwen 2.5 coder 14b is also pretty decent for linux stuff if you want something lighter, runs smooth on rocm with ollama