v0.1.2

DeepSeek-V4.1-Flash LoRA recipes for the original and 1017 releases, loaded from DeepSeek's own weights, and multi-LoRA trainer scheduling for clients that train independently.

Added

• DeepSeek-V4.1-Flash-1017 LoRA recipes, deepseek_v41_flash_1017_lora_8k and deepseek_v41_flash_1017_lora_32k, which load the 1017 release (#129).
• DeepSeek-V4.1-Flash LoRA recipe with 32K context, deepseek_v41_flash_lora_32k. It splits each layer across eight GPUs instead of four (#128).
• deepseek_v41_flash_lora_8k falls back to B200 and H200 for the trainer and samplers (#128).
• trainer_max_clients_per_batch caps how many multi-LoRA clients a trainer trains together. With 1, each client's step runs on its own, so clients that train independently no longer wait for each other (#124).
• Samplers serve SGLang's Prometheus metrics at /metrics, so Modal collects inference metrics for sampler deployments (#125).
• Example launchers for the Qwen3.8-27B DAPO run on 4 H200s and 12 B200s (#135) and the Qwen3.5-9B SWE-Gym run on B300s (#136).

Changed

• DeepSeek-V4.1-Flash recipes load DeepSeek's FP8/FP4 release instead of a BF16 export. The trainer dequantizes it to BF16 as it loads, and samplers serve it with FP8 routed experts. Redeploying downloads the release once (#128).
• deepseek_v41_flash_lora_8k keeps one sampler running for the length of a run, so the first sample doesn't wait for the weights to load. Recipes that subclass it inherit this (#134).
• DeepSeek-V4.1-Flash samplers queue up to 128 requests instead of 8, so a GRPO step's group samples no longer get 503s and retries (#141).
• Multi-LoRA trainers run optimizer steps, checkpoint saves and sampler-weight captures ahead of queued forward_backward requests, and serve queued training requests oldest first (#124).
• A sampling request delivered again with the same request ID shares the in-flight work or the completed response instead of generating twice (#120).

Fixed

• DeepSeek-V4.1-Flash trainers on B200 no longer hang in their first step (#128).
• Miles' gloo process group waits as long as distributed_timeout_minutes, so trainers on slow-loading hosts no longer time out after 30 minutes (#128).
• The Miles v0.1.2 trainer image, the Miles Megatron base image and the SGLang image are pinned to exact commits or digests, so a cached build cannot serve an older fork branch (#128, #131).
• The rollout image builds SGLang's radix-tree binding from the pinned fork revision, so the scheduler no longer crashes when routing observations are enabled (#137).
• A sampling request that waited longer than 30 seconds, or a future polled after its sample completed, no longer fails with unknown key family: sampler_warm (#130).
• Training runs named in sampler paths, <model_id>:train:0, resolve to the model's checkpoints, so tinker-cookbook's run_inspect_evals finds the base model (#130).