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Miles ships ready-to-run recipes for every model family listed below. Each page covers weight conversion, parallelism, and the launch script in the order you’d actually run them.

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By family

Each model name links to its recipe page.
FamilyModels
DeepSeekDeepSeek-V4 Pro
DeepSeek-V4 Flash
DeepSeek-R1
DeepSeek-V3
QwenQwen3.6 MoE
Qwen3.6
Qwen3.5-35B-A3B
Qwen3.5-4B / 9B / 27B
Qwen3-Next-80B-A3B-Thinking
Qwen3-30B-A3B / 235B-A22B
Qwen3-0.6B / 1.7B / 4B / 8B / 14B / 32B
GLMGLM-5.1
GLM-5
GLM-4.7-Flash
GLM-4.5
GLM-Z1-9B-0414
KimiKimi-K2.6
Kimi-K2.5
Kimi-K2-Instruct / Thinking
Moonlight-16B-A3B
NemotronNemotron-3-Super-120B-A12B-FP8
Nemotron-3-Nano MoE
Nemotron-3-Nano
MiMoMiMo-7B-RL
GPT-OSSgpt-oss-20b

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How a recipe is structured

Every recipe page follows the same six sections:
  1. Model Introduction — what the model is and why miles supports it.
  2. Supported Variants — model sizes + HF links.
  3. Environment Setup — env vars, downloads, and HF → Megatron conversion.
  4. Launch — the scripts/run-<family>.sh (or run_<family>.py) invocation.
  5. Recipe Configuration — parallelism, algorithm, rollout/SGLang, optimizer.
  6. Pairs Well With — links to the advanced features that complement this recipe.

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Adding a new model

Miles’s plugin architecture lets you wrap a HuggingFace implementation as a Megatron module without patching Megatron core. See Backends Beyond Megatron for the workflow.