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CharlieLLL/qwen35-counterfactual-sft-v12
qwen35-counterfactual-sft-v12 is a machine learning model from CharlieLLL. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
The original Joint Boundary+Causal v12 SFT checkpoint from the 2026-08-21 counterfactual/work-order SFT experiment, arm joint-boundary-causal-v12-all-base-lr2e-8. This is SFT itself, not the later v12-to-SOLO-RL sweep…
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From the Hugging Face model README
The original Joint Boundary+Causal v12 SFT checkpoint from the 2026-08-21
counterfactual/work-order SFT experiment, arm
joint-boundary-causal-v12-all-base-lr2e-8.
This is SFT itself, not the later v12-to-SOLO-RL sweep or SOLO RL ckpt174.
Qwen/Qwen3.5-9B, revision
c202236235762e1c871ad0ccb60c8ee5ba337b9a; not continued from SFT v5.2e-8, sample-normalized loss, thinking-off data.935eff2516d2fce8618063bdc6865d584c682fdb5aa5d8471e033ddb5dab1111.Recovered experiment code and report are a historical source snapshot, not a verified restoration of the original Git commit. The training data is not included in this model repository.
The four original safetensors shards, index, config and tokenizer are published byte-for-byte from the verified durable backup. The index contains 427 trained language-model tensors. There are no vision tensors in this historical export; no frozen base/vision tensors were added or synthesized for upload. The historical model config is preserved. This repository is not a validated complete multimodal checkpoint; a loader must handle the exported text-only weight scope appropriately.
artifact-provenance.json and SHA256SUMS identify the archive and its checksums.
UPSTREAM_MODEL_CARD.md preserves the base model card; its benchmark claims do
not describe this SFT checkpoint. Optimizer/RNG/training-resume state is absent.
Initially private; use a currently authorized Hugging Face account/token. Pin the commit revision supplied with the publication result.
hf download CharlieLLL/qwen35-counterfactual-sft-v12 --local-dir ./sft-v12
cd sft-v12
sha256sum -c SHA256SUMS
No new GPU-loading or quality evaluation was performed for publication. Formal SWE-bench comparisons require native x86_64 Docker, matched tasks, harness/evaluator hashes and model settings, and valid canonical verifier outcomes with infrastructure errors accounted for. ARM64 diagnostics are not model-quality evidence.