Update model card for Qwen397B custom SFT adapter

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Concise model-card summary for the promoted env-0 Qwen397B-data custom SFT LoRA adapter.

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 ---
-base_model: Qwen/Qwen3.5-9B
 library_name: peft
 pipeline_tag: text-generation
 tags:
 - base_model:adapter:Qwen/Qwen3.5-9B
 - lora
-- transformers
 ---
-# Model Card for Model ID
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-## Model Details
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-### Framework versions
-- PEFT 0.19.1

 ---
 library_name: peft
+base_model: Qwen/Qwen3.5-9B
 pipeline_tag: text-generation
+datasets:
+- benchflow/env0-experiment-trajectories
 tags:
 - base_model:adapter:Qwen/Qwen3.5-9B
 - lora
+- peft
+- sft
+- env-0
+- openhands
+- daytona
+- qwen397b
 ---
+# BenchFlow Qwen3.5-9B Env-0 Qwen397B-Data Custom SFT LoRA Adapter
+This repository contains the current BenchFlow env-0 SFT adapter for `Qwen/Qwen3.5-9B`. It is a PEFT LoRA adapter only; load it with the base `Qwen/Qwen3.5-9B` checkpoint.
+## Current Version
+| Field | Value |
+| --- | --- |
+| Adapter repo | `benchflow/benchflow-qwen35-9b` |
+| Published model PR | [HF PR #4](https://huggingface.co/benchflow/benchflow-qwen35-9b/discussions/4) |
+| Adapter commit promoted from PR | `92380a83764ec2d8b2103a3895e24e49a508d1d9` |
+| Training run id | `qwen35-397b-data-qwen35-9b-custom-sft-20260630T042600Z` |
+| Base checkpoint | `Qwen/Qwen3.5-9B` |
+| Adapter type | LoRA / PEFT |
+| Trainer | Custom PyTorch + PEFT LoRA trainer, `experiments/env-0-posttrain-mvp/train_lora_sft.py` |
+| Source data | Qwen3.5-397B teacher trajectories collected with BenchFlow, OpenHands, and Daytona |
+| Training rows | `298` all-training-ready rows |
+| Hardware | 1x H100 80GB |
+This run used the historical custom trainer. Prime-RL was not used as the SFT trainer; the source data path includes `prime-rl` only because the trajectories were also validated and exported in Prime-SFT-compatible format.
+## Training Recipe
+| Field | Value |
+| --- | --- |
+| Precision | BF16 |
+| Quantization | None |
+| Context length | `8192` |
+| Max trainer steps | `300` micro-batch steps |
+| Micro batch size | `1` |
+| Gradient accumulation | `8` |
+| Approx optimizer updates | `37` |
+| Learning rate | `1e-4` |
+| Scheduler | None |
+| Max grad norm | `1.0` |
+| LoRA rank | `32` |
+| LoRA alpha | `64` |
+| LoRA dropout | `0.05` |
+| LoRA targets | `q_proj`, `k_proj`, `v_proj`, `o_proj`, `gate_proj`, `up_proj`, `down_proj` |
+| Checkpoints | `100`, `200`, `300`, `best_adapter`, `final_adapter` |
+| Final eval loss | `0.1476329118013382` |
+## Evaluation Results
+| Evaluation | Runtime | Strict pass |
+| --- | --- | ---: |
+| Mobile300 | SGLang | `135 / 300` |
+| Mobile300 | Fireworks | `134 / 300` |
+| standard60, 3 trials | Fireworks | `25 / 180` |
+## Artifact Links
+| Artifact | Link |
+| --- | --- |
+| Source teacher trajectories | [HF dataset folder](https://huggingface.co/datasets/benchflow/env0-experiment-trajectories/tree/main/experiments/qwen35-397b-env0-mini-prime-rl-trajectories/20260629-qwen35-397b-openrouter-openhands-daytona/canonical/train-mini-300-combined-qwen35-397b-20260629T2336Z) |
+| Training artifacts | [HF dataset folder](https://huggingface.co/datasets/benchflow/env0-experiment-trajectories/tree/main/experiments/qwen35-397b-env0-mini-custom-sft/training/qwen35-397b-data-qwen35-9b-custom-sft-20260630T042600Z) |
+| Fireworks Mobile300 eval | [HF dataset folder](https://huggingface.co/datasets/benchflow/env0-experiment-trajectories/tree/main/experiments/qwen35-397b-env0-mini-custom-sft/eval/fireworks-qwen397b-custom-sft-mobile300-20260630T084904Z) |
+| Fireworks standard60 eval | [HF dataset folder](https://huggingface.co/datasets/benchflow/env0-experiment-trajectories/tree/main/experiments/qwen35-397b-env0-mini-custom-sft/eval/fireworks-qwen397b-custom-sft-standard60-3trials-20260630T172230Z) |
+| Reproduction report | [GitHub report](https://github.com/benchflow-ai/env-0-experiment/blob/main/experiments/qwen35-397b-env0-mini-custom-sft/reports/2026-06-30-qwen397b-custom-sft-reproduction-parameters.md) |
+## Loading
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from peft import PeftModel
+base_id = "Qwen/Qwen3.5-9B"
+adapter_id = "benchflow/benchflow-qwen35-9b"
+tokenizer = AutoTokenizer.from_pretrained(base_id, trust_remote_code=True)
+base_model = AutoModelForCausalLM.from_pretrained(
+    base_id,
+    torch_dtype="auto",
+    device_map="auto",
+    trust_remote_code=True,
+)
+model = PeftModel.from_pretrained(base_model, adapter_id)
+```
+## Intended Use And Limitations
+This adapter is an env-0 research artifact for controlled BenchFlow/OpenHands/Daytona evaluation. It is not a general-purpose safety-tested assistant model and should not be treated as production-ready for autonomous operation.