Together Post-Training: frontier-grade model shaping, the way that fits you
Post-train open LLMs like Qwen, GLM and Kimi into custom models you own, with SFT or RL.
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Sources (1)
- [1]Together Post-Training: frontier-grade model shaping, the way that fits youTogether AI Blog · Oct 19, 12:00 AM
Post-train open LLMs like Qwen, GLM and Kimi into custom models you own, with SFT or RL.
Extractive summary: sentences quoted from the sources.
Hype check
Independently evaluated4 independent looks since
- Evaluation · Oct 19, 2026Calling all GPUs: help us benchmark SonicBoom v0.0.3 — a compiler-first AI runtime that beats llama.cpp on decode
- Evaluation · Oct 19, 2026Basic Workflow Simple Prompt Testing: Krea2 vs MOSS vs Qwen2.1 vs Flux3
- Evaluation · Oct 19, 2026Kapitsa: open-source Apple Silicon optimized Metal engine built for Qwen and Nemotron. See benchmarks of Qwen 27B, Nemotron + 8 other models on an M1 Pro (16GB), M4 Pro (48GB) and M5 Max (128GB)
- Evaluation · Oct 19, 2026The Model Swap Workshop: GPT-5.5 vs Kimi vs DeepSeek vs Mistral
- Follow-up · Oct 19, 2026A comparison of 6 open source models. Krea2, Qwen2.1, Flux3 Klein, Flux 2 Klein, ZIT, & Moss. Same prompt used for all.
- Follow-up · Oct 19, 2026MOSS Character LoRas
Before this
- Oct 18, 2026My 5070 ti/3070 Chimera build.
- Oct 17, 2026Alignment on SOTA Chinese Models like Qwen 3.8 Flash Next / GLM 5.3 Flash
- Oct 16, 202610 Things you maybe didn't know you can do with Qwen 3.6 27B right now. (For Noobs)
- Oct 16, 2026LocalIntent: Outcome-Specific Structured Generation for Backend-Compatible Smart Building Automation with Local LLMs
- Oct 16, 2026The actual state of open-weight models vs. frontier models
- Oct 16, 2026Competence-Based Evaluation of Logical Reasoning in Large Language Models
