{ "name": "qwen3.5-4b-code-forged-defragged", "version": "1.0.0", "description": "DEFRAGGED derivative of [`qwen3.5-4b-code-forged`](https://huggingface.co/continuum-ai/qwen3.5-4b-code-forged). Same forge journey as the parent (prune + train as published in the parent's alloy); this artifact adds a single 'defragged' transformation stage to produce a smaller / faster / more-portable variant of the same logical model. Inherits the parent's published benchmark results; per-variant evaluation samples will land in a follow-up release if/when per-variant benchmarks are run.", "author": "continuum-ai", "tags": [ "alloy-backfilled", "forge-alloy", "defragged", "delta-forge", "derivative" ], "license": "apache-2.0", "source": { "baseModel": "Qwen/Qwen3.5-4B", "architecture": "qwen3_5", "isMoE": false }, "stages": [ { "type": "train", "domain": "code", "steps": 1000, "learningRate": "2e-4" }, { "type": "quant", "format": "gguf", "quantTypes": [ "Q4_K_M" ], "deviceTargets": [] }, { "type": "eval", "benchmarks": [ { "name": "humaneval" } ], "compareToBase": true }, { "type": "package", "format": "safetensors-defragged", "validateOn": [], "includeTokenizer": true, "notes": "Defrag-only derivative of the parent forge. The parent's prune stage marks heads as dead via forward-hooks; this artifact reifies that pruning by physically reshaping the projection matrices to remove the dead heads' parameters. Behaviorally equivalent to the parent (same logits per surviving head); structurally smaller on disk and in VRAM." } ], "cycles": 3, "derivedFrom": { "repo": "continuum-ai/qwen3.5-4b-code-forged", "alloyHash": null, "kind": "defragged" }, "results": { "completedAt": "2026-03-31T12:13:43-0500", "baselinePerplexity": 3.0382, "finalPerplexity": 2.3487, "improvementPct": 22.7, "benchmarks": [ { "name": "perplexity", "metrics": { "baseline": 3.0382, "final": 2.3487, "improvement": 22.7 } }, { "name": "humaneval", "subset": null, "metrics": { "status": "pending" }, "submittedToLeaderboard": false } ], "hardwareVerified": [ { "device": "NVIDIA GeForce RTX 5090", "format": "fp16", "verified": true } ], "samples": [], "integrity": { "trustLevel": "self-attested", "code": { "runner": "sentinel-ai/derive_alloy_from_parent (defragged)", "version": "1.0", "binaryHash": "sha256:derivation-tool-only" }, "modelHash": "sha256:4d59fce78f3541375dbc1adf849fa0474426dd4036fe958bad4e9270d7fe776d", "fileHashes": [ { "filename": "model-00001-of-00002.safetensors", "sha256": "a1bd60ee8c791971867535382ac26a59165d04f6ba41a39bb7365bed37b41c07", "size": 5351237632 }, { "filename": "model-00002-of-00002.safetensors", "sha256": "a5529bb11406d9d72422c6728453e10b32628976cc6304f3c0ebe99fa6f3c16e", "size": 2913513560 } ], "datasets": [], "attestedAt": "2026-04-08", "parentAlloyHash": null } } }