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davidanugraha/Qwen3.5-9B-SWE-Smith-LoRA-Adapters
Qwen3.5-9B-SWE-Smith-LoRA-Adapters is a text generation model from davidanugraha. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as apache-2.0.
This repository contains adapter-only checkpoints and reproducibility records for the verl-qwen35-9b-65k-mini-swe-rloo-20260830-r15 → verl-qwen35-9b-65k-mini-swe-rloo-20260831-r16 continuation lineage. It does not con…
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Updated Sep 11, 2026
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From the Hugging Face model README
This repository contains adapter-only checkpoints and reproducibility records for
the verl-qwen35-9b-65k-mini-swe-rloo-20260830-r15 → verl-qwen35-9b-65k-mini-swe-rloo-20260831-r16 continuation lineage. It does not contain the
Qwen3.5-9B base-model weights. Use Qwen/Qwen3.5-9B at revision c202236235762e1c871ad0ccb60c8ee5ba337b9a.
checkpoints/step-10checkpoints/step-20checkpoints/step-30checkpoints/step-40checkpoints/step-50checkpoints/step-60checkpoints/step-70checkpoints/step-80checkpoints/step-90checkpoints/step-100checkpoints/step-110checkpoints/step-120The training plan targeted 143 optimizer steps, but the latest committed checkpoint is step 120; no steps 130, 140, or 143 exist in the durable store. Step 10 belongs to r15, and steps 20–120 belong to the resumed r16 run.
Each adapter directory contains adapter_config.json,
adapter_model.safetensors, and export_provenance.json.
continuation/global_step_120/ is the complete committed veRL/FSDP checkpoint,
not merely a serving adapter. It contains all eight model shards, all eight optimizer
shards, all eight extra/RNG-state shards, data.pt, FSDP/LoRA metadata, tokenizer
metadata, and the original checkpoint manifest. The validated continuation payload is
1258355426 bytes across 32 manifest-listed files.
The raw step-120 model shards contain the trained LoRA state needed by veRL; they are
not Qwen base-model weights. Restore against the exact base revision, veRL commit,
training image, and run identity recorded under training/ and provenance/.
These are the completed evaluation records found for this lineage. Protocols differ, so rows with different sampling or retry policies should not be compared as a clean checkpoint sweep.
| Arm | Protocol | Resolved | Score | Agent timeouts |
|---|---|---|---|---|
base-temp0.6 | temperature 0.6; retry-aware | 235/500 | 47.0% | 37 |
base-temp1.0 | temperature 1.0; retry-aware | 260/500 | 52.0% | 225 |
step20-temp0.6 | temperature 0.6; retry-aware | 237/500 | 47.4% | 49 |
step20-temp1.0 | training sampler; temperature 1.0; retry-aware | 254/500 | 50.8% | 191 |
step40-temp1.0 | training sampler; temperature 1.0; retry-aware | 249/500 | 49.8% | 193 |
step60-temp1.0-no-agent-timeout-retry | training sampler; temperature 1.0; no agent-timeout retry | 199/500 | 39.8% | 160 |
The full checksummed evaluation artifacts are under evaluation/artifacts/.
training/runs/r15/ and training/runs/r16/ contain the original run identities,
Hydra configuration, preflight evidence, and checkpoint manifests.training/wandb/ is the r16 W&B export; training/resume-run/wandb/ is r15.provenance/training-image/ is extracted from the immutable digest-pinned r16
training image and is the authoritative historical runtime source.provenance/repository-at-export/ is a convenience snapshot of the current export,
launch, and evaluation tooling and is not asserted to match the historical image.For example, with a LoRA-enabled vLLM server:
vllm serve Qwen/Qwen3.5-9B \
--revision c202236235762e1c871ad0ccb60c8ee5ba337b9a \
--served-model-name Qwen3.5-9B \
--max-model-len 65536 \
--enable-prefix-caching \
--enable-lora --max-lora-rank 64 \
--lora-modules r16-step-120=/path/to/repo/checkpoints/step-120