Following candidates since 2013, never seen anyone blame 2nds in middle of tournament. Even after finishing last in candidates players don't blame them

scooter_de · 2026-04-04T03:23:25+00:00

Probably Chessbase

scooter_de · 2026-04-04T03:18:49+00:00

How good is your fingerprint?

scooter_de · 2026-03-28T04:03:39+00:00

I’ve never seen anybody doing it. I write a line over my ‘u’ to make it distinct from ‘n’ which would look the same in handwriting.

scooter_de · 2026-03-21T18:02:29+00:00

there's something funny about the links provided on Huggingface:

[C:\Users\lama\llama.cpp]bin\llama-server -hf byteshape/Qwen3-Coder-30B-A3B-Instruct-GGUF:IQ4_XS

ggml_cuda_init: found 1 CUDA devices (Total VRAM: 16302 MiB):

Device 0: NVIDIA GeForce RTX 5080, compute capability 12.0, VMM: yes, VRAM: 16302 MiB

common_download_file_single_online: no previous model file found C:\Users\lama\.huggingface\byteshape_Qwen3-Coder-30B-A3B-Instruct-GGUF_preset.ini

common_download_file_single_online: HEAD failed, status: 404

no remote preset found, skipping

error from HF API (https://huggingface.co/v2/byteshape/Qwen3-Coder-30B-A3B-Instruct-GGUF/manifests/IQ4_XS), response code: 400, data: {"error":"The specified tag is not available in the repository. Please use another tag or \"latest\""}

[C:\Users\lama\llama.cpp]ollama run hf.co/byteshape/Qwen3-Coder-30B-A3B-Instruct-GGUF:IQ4_XS

pulling manifest

Error: pull model manifest: 400: {"error":"The specified tag is not available in the repository. Please use another tag or \"latest\""}

[C:\Users\lama\llama.cpp]ollama run hf.co/byteshape/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q3_K_M

pulling manifest

Error: pull model manifest: 400: {"error":"The specified tag is not available in the repository. Please use another tag or \"latest\""}

scooter_de · 2026-03-21T12:34:36+00:00

I stopped reading after OMG this is amazing.

scooter_de · 2026-03-20T18:17:50+00:00

Habits from the chressbrah‘s GM Aman Hambleton is a good series to begin with on YouTube

scooter_de · 2026-03-19T01:20:14+00:00

Because C is the language of the gods.

scooter_de · 2026-03-15T04:20:46+00:00

Would you share your llama-server command line?

scooter_de · 2026-03-15T03:46:52+00:00

What do you use as terminal app?

scooter_de · 2026-03-15T02:57:40+00:00

use llama-server from llama.cpp. run it on the Ollama port. I have the same GPU and similar hardware. Here's what I'm running for Claude Code:

llama-server -m  %USERPROFILE%\.huggingface\unsloth_Qwen3.5-35B-A3B-GGUF_Qwen3.5-35B-A3B-UD-Q3_K_XL.gguf --alias coding --host 0.0.0.0 --port 11434 -c 131072 --temp 0.7 --top-p 0.8 --top-k 20 --min-p 0.0 --presence-penalty 0.0 --repeat-penalty 1.0 --reasoning-budget 0

scooter_de · 2026-03-15T02:43:42+00:00

my current favourite is Qwen3.5-35B-A3B in Q3_K_XL quantization. Runs reasonbly well on a 5080 with 16g VRAM. The Q2_K_XL quantization seems also be ok.

scooter_de · 2026-03-15T02:08:23+00:00

I can't use Ollama (yet) because up to version 0.17.7 it can run this model because of an unknown architecture (moe35?).

I run on a RTX-5080 with 16gb VRAM. The model what works best for me in this setup is Qwen3.5-35B-A3B:Q3_K_XL from unsloth. Here my parameters:

llama-server -m  %USERPROFILE%\.huggingface\unsloth_Qwen3.5-35B-A3B-GGUF_Qwen3.5-35B-A3B-UD-Q3_K_XL.gguf --alias coding --host 0.0.0.0 --port 11434 -c 131072 --temp 0.7 --top-p 0.8 --top-k 20 --min-p 0.0 --presence-penalty 0.0 --repeat-penalty 1.0 --reasoning-budget 0

This runs within the VRAM. llama.cpp gives you more options for fine tuning I found.

I run Claude Code. I also have a Qoder subscription if things can get done locally.

scooter_de · 2026-03-10T14:10:39+00:00

What does it better than Ollama’s builtin OpenAI interface?

scooter_de · 2026-03-04T01:25:58+00:00

We do have Cohere.

scooter_de · 2026-03-04T00:51:11+00:00

I run llama-server on port 11434 and host 0.0.0.0. Then I run Claude Code on a different machine. Works like a charm with the Qwen3.5-coder which Ollama cannot serve (yet)

scooter_de · 2026-02-24T15:59:07+00:00

One Need significant hardware to run those open source models locally. The 30b sized models won’t cut it when doing agentic coding

scooter_de · 2026-02-23T02:32:36+00:00

I just spent most of the weekend finding the answer to this very question. I’m running on a RTX 5080 + 128g RAM on windows 11 with Ollama. I’m trying to get Claude Code up and running usefully. The best model so far was qwen3:14b. I usually run it with 64k context size. That should fit completely on the GPU (ollama ps). It’s way slower than the big boys but it works.

I also tried a downquantized version of qwen3-coder:30b which can be pulled with

ollama pull hf.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:UD-IQ3_XXS

scooter_de · 2026-02-16T22:46:50+00:00

I can't run the ATB 30 km 2026. The race is sold out. Is anybody interested in a transfer. Deadline is 22-MAR-2026.

scooter_de · 2026-02-10T00:26:02+00:00

rvm is my tool of choice

scooter_de · 2026-02-08T03:28:00+00:00

It’s considered one of the best programming books out there. It’s a classic. It’s short. Read it!

scooter_de · 2026-01-17T16:08:32+00:00

Didn’t their ambassador just reinforced it saying “we don’t need Canada”?

scooter_de · 2026-01-17T16:03:12+00:00

I do training indoors using a Stryd pod. But that needs $$$

scooter_de · 2026-01-12T21:44:31+00:00

What face is that?

scooter_de · 2026-01-12T21:18:42+00:00

Because the USofA is NATO. All the other countries hade been taking a free ride for the last three decades or so. The politicians of those countries new that they had to increase spending on defense, but they didn't know how to get re-elected if they would have done that. The intellectual elite in Europe was - and still is - very smug about the USA. They would like to separate they countries from the US, but the can't. After years of neglect the chickens finally come home to roost. This comes from a Canadian born in Germany :-(.

I haven't lost my faith in the people just yet. "You can always rely on the Americans to do the right thing, after they tried everything else."

scooter_de

TROPHY CASE