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<feed xmlns="http://www.w3.org/2005/Atom"><title>Byram AI Lab</title><id>https://byram.ai/</id><updated>2026-10-17T00:00:00Z</updated><entry><title>Qwen3.6-35B-A3B · GPTQ-Int4 · vLLM XPU</title><link href="https://byram.ai/2026-10-16-qwen36-35b-a3b-vllm-xpu/"/><id>https://byram.ai/2026-10-16-qwen36-35b-a3b-vllm-xpu/</id><updated>2026-10-16T00:00:00Z</updated><summary>Qwen3.6-35B-A3B with GPTQ-Int4 on vLLM XPU, 105.8 t/s warm decode with MTP speculation.</summary></entry><entry><title>Qwen3.8-27B · EXL3 4.00bpw · exl3xpu</title><link href="https://byram.ai/2026-10-16-qwen38-27b-exl3xpu/"/><id>https://byram.ai/2026-10-16-qwen38-27b-exl3xpu/</id><updated>2026-10-16T00:00:00Z</updated><summary>Qwen3.8-27B EXL3 4.00bpw on exl3xpu, 57.0 t/s warm decode, 1.43s TTFT.</summary></entry><entry><title>Qwen3.8-27B · EXL3 · batch 4096→8192</title><link href="https://byram.ai/2026-10-17-qwen38-27b-exl3xpu-batched-tokens-8192/"/><id>https://byram.ai/2026-10-17-qwen38-27b-exl3xpu-batched-tokens-8192/</id><updated>2026-10-17T00:00:00Z</updated><summary>A/B: max_num_batched_tokens 4096→8192. No speedup; KV pool shrank 28k tokens. Recommend revert.</summary></entry><entry><title>Qwen3.8-27B · GGUF IQ3_S · llama.cpp</title><link href="https://byram.ai/2026-10-17-qwen38-27b-gsq-iq3s-llamacpp/"/><id>https://byram.ai/2026-10-17-qwen38-27b-gsq-iq3s-llamacpp/</id><updated>2026-10-17T00:00:00Z</updated><summary>Qwen3.8-27B GSQ IQ3_S GGUF on llama.cpp, 44.9 t/s warm, same model as EXL3 runs but 6.3× slower prefill.</summary></entry><entry><title>Qwen3.8-27B · GGUF · ubatch 4096 + KV q8_0</title><link href="https://byram.ai/2026-10-17-qwen38-27b-gsq-iq3s-llamacpp-batch4k-kvq8/"/><id>https://byram.ai/2026-10-17-qwen38-27b-gsq-iq3s-llamacpp-batch4k-kvq8/</id><updated>2026-10-17T00:00:00Z</updated><summary>Qwen3.8-27B GGUF on llama.cpp with ubatch 4096 + KV q8_0, 56.8 t/s warm, multi-variable run.</summary></entry><entry><title>Qwen3.8-27B · GGUF · KV q8_0</title><link href="https://byram.ai/2026-10-17-qwen38-27b-gsq-iq3s-llamacpp-kvq8/"/><id>https://byram.ai/2026-10-17-qwen38-27b-gsq-iq3s-llamacpp-kvq8/</id><updated>2026-10-17T00:00:00Z</updated><summary>Qwen3.8-27B GGUF on llama.cpp with KV q8_0, 56.1 t/s warm, stable run with high spec acceptance.</summary></entry></feed>
