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Csaba Kecskemeti PRO

csabakecskemeti

https://devquasar.com/

csabakecskemeti

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updated a model about 6 hours ago

DevQuasar/zai-org.GLM-4.6V-Flash-GGUF

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DevQuasar/zai-org.GLM-4.6V-Flash-GGUF

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DevQuasar/zai-org.GLM-4.6V-GGUF

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FYI: Mistral.Ministral-3 dequantizer FP8->BF16

https://github.com/csabakecskemeti/ministral-3_dequantizer_fp8-bf16

(The instruct model weights are in FP8)

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2026

Looking for some help to test an INT8 Deepseek 3.2:
SGLang supports Channel wise INT8 quants on CPUs with AMX instructions (Xeon 5 and above AFAIK)
https://lmsys.org/blog/2025-07-14-intel-xeon-optimization/

Currently uploading an INT8 version of Deepseek 3.2 Speciale:
DevQuasar/deepseek-ai.DeepSeek-V3.2-Speciale-Channel-INT8

I cannot test this I'm on AMD
"AssertionError: W8A8Int8LinearMethod on CPU requires that CPU has AMX support"
(I assumed it can fall back to some non optimized kernel but seems not)

If anyone with the required resources (Intel Xeon 5/6 + ~768-1TB ram) can help to test this that would be awesome.

If you have hints how to make this work on AMD Threadripper 7000 Pro series please guide me.

Thanks all!

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Csaba Kecskemeti PRO

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XQuant: Breaking the Memory Wall for LLM Inference with KV Cache Rematerialization

city96/Wan2.1-T2V-14B-gguf

XQuant: Breaking the Memory Wall for LLM Inference with KV Cache Rematerialization

city96/Wan2.1-T2V-14B-gguf

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csabakecskemeti/dq-gpt2-instruct-exp1

csabakecskemeti/PrimeIntellect.INTELLECT-3-GGUF

csabakecskemeti/deepseek-ai.DeepSeek-Math-V2-GGUF

csabakecskemeti/inclusionAI.Ling-1T-GGUF

csabakecskemeti/cerebras.Qwen3-Coder-REAP-25B-A3B-GGUF

csabakecskemeti/Salesforce.GTA1-32B-GGUF

csabakecskemeti/GAIR.LIMI-GGUF

csabakecskemeti/Yehor.kulyk-uk-en-GGUF

csabakecskemeti/Yehor.kulyk-en-uk-GGUF

csabakecskemeti/Locutusque.DareQwen-2.5-7B-GGUF

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Csaba Kecskemeti PRO

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