We Ditched LangChain. Here’s What We Built Instead — and Why It’s Better for Serious AI Research.
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trunk/6c6e22937db24fe8c7b74452a6d3630c65d1c8b8: Revert "Remove TRITON=yes from CPU-only GCC11 docker configs (#179314)"
This reverts commit 670be7c . Reverted #179314 on behalf of https://github.com/izaitsevfb due to Reverted automatically by pytorch's autorevert, to avoid this behaviour add the tag autorevert: disable ( comment )
v4.3.3 - Gemma 4 support!
Changes Gemma 4 support with tool-calling in the API and UI. 🆕 - v4.3.1. ik_llama.cpp support : Add ik_llama.cpp as a new backend through new textgen-portable-ik portable builds and a new --ik flag for full installs. ik_llama.cpp is a fork by the author of the imatrix quants, including support for new quant types, significantly more accurate KV cache quantization (via Hadamard KV cache rotation, enabled by default), and optimizations for MoE models and CPU inference. API: Add echo + logprobs for /v1/completions . The completions endpoint now supports the echo and logprobs parameters, returning token-level log probabilities for both prompt and generated tokens. Token IDs are also included in the output via a new top_logprobs_ids field. Further optimize my custom gradio fork, saving up to 5
B70: Quick and Early Benchmarks & Backend Comparison
llama.cpp: f1f793ad0 (8657) This is a quick attempt to just get it up and running. Lots of oneapi runtime still using "stable" from Intels repo. Kernel 6.19.8+deb13-amd64 with an updated xe firmware built. Vulkan is Debian but using latest Mesa compiled from source. Openvino is 2026.0. Feels like everything is "barely on the brink of working" (which is to be expected). sycl: $ build/bin/llama-bench -hf unsloth/Qwen3.5-27B-GGUF:UD-Q4_K_XL -p 512,16384 -n 128,512 | model | size | params | backend | ngl | test | t/s | | ------------------------------ | ---------: | ---------: | ---------- | --: | --------------: | -------------------: | | qwen35 27B Q4_K - Medium | 16.40 GiB | 26.90 B | SYCL | 99 | pp512 | 798.07 ± 2.72 | | qwen35 27B Q4_K - Medium | 16.40 GiB | 26.90 B | SYCL | 99 | pp16384
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