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Model: 0xtoshi/seli_auditor-BF16 Source: Original Platform
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README.md
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---
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license: other
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tags:
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- solidity
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- smart-contract-audit
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- qwen2.5-coder
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- gguf
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- lora
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pipeline_tag: text-generation
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base_model: Qwen/Qwen2.5-Coder-7B-Instruct
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---
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# SELI Auditor BF16
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SELI Solidity audit artifact.
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## Variant
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**Merged BF16 Hugging Face model.** This variant contains the seed adapter plus the local SELI fine-tune merged into the Qwen2.5-Coder base.
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Training stack:
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```text
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Qwen/Qwen2.5-Coder-7B-Instruct
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-> merge seed adapter: jhsu12/solidity-vulnerability-detector
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-> train local SELI LoRA on audit dataset
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-> merge local SELI LoRA
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-> artifact: BF16 safetensors model
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```
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Use this variant for highest quality Transformers/vLLM/SGLang serving when VRAM allows.
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## Base And Fine-Tune Stack
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- Base model: `Qwen/Qwen2.5-Coder-7B-Instruct`
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- HF card base model: `Qwen/Qwen2.5-Coder-7B-Instruct`
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- Seed adapter: `jhsu12/solidity-vulnerability-detector`
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- Local fine-tune: `SELI audit dataset`
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- Artifact: `merged BF16 model`
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- Created: `2026-05-14 01:52:51 UTC`
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## Training Data Coverage
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Counts below are computed from the context-filtered Qwen2.5-Coder training files available during upload.
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| Metric | Value |
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|---|---:|
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| Raw JSONL rows | 4072 |
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| Context-filtered rows used | 3441 |
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| Rows dropped for context overflow | 631 |
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| Max training context | 4096 tokens |
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| Named bug shapes | 95 |
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| Shape mentions | 570 |
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| Coverage axes | 111 |
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| Proof gates | 69 |
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| Bypass-hypothesis rows | 570 |
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| Line-label rows | 570 |
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### Strong Shape Families
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- `solidity`: 3204
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- `access-control`: 3106
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- `amm`: 3095
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- `accounting`: 2571
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- `decompiler`: 2504
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- `reentrancy`: 2481
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- `oracle`: 2299
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- `upgradeability`: 2112
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- `foundry`: 1967
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- `money-flow`: 1832
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- `flashloan`: 1786
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- `economic-model`: 1664
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- `signature`: 1554
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- `defi-hacks`: 1383
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- `constructor-plane`: 1187
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- `fork-poc`: 1168
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- `incident-reconstruction`: 1168
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- `multi-tx-window`: 1113
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- `ast-ir`: 700
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- `proof-gates`: 591
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- `line-level`: 570
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- `regression`: 570
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- `tool-use`: 562
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- `bridge-trust-config`: 541
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### Source Families
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- `historical_poc_foundry`: 789
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- `defihacklabs_incident_index`: 594
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- `curated_line_level_regression_suite`: 570
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- `local_skill_archive`: 499
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- `static_tool_artifact`: 496
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- `local_skill`: 192
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- `curated_vulnerable_contracts`: 143
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- `foundry_vulnerability_labs`: 54
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- `taxonomy_and_testcases`: 36
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- `ctf_training`: 23
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- `incident_intel_feed`: 4
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- `curated_regression`: 4
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- `audit_finding_dataset`: 3
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- `contest_judging_guidelines`: 2
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- `decompiler_tooling`: 2
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- `security_standard`: 2
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- `incident_database`: 2
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- `audit_model_adapter_index`: 1
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- `static_analyzer_json_schema`: 1
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- `curated_vulnerability_dataset`: 1
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### Named Shape Coverage
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| Shape | Count |
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|---|---:|
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| `epoch snapshot reward shared-pool reentrancy` | 6 |
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| `read-only reentrancy shared-pool price cache` | 6 |
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| `entrypoint asymmetry` | 6 |
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| `shared-escrow partial claim clear` | 6 |
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| `delegated operator shared-pool reentrancy` | 6 |
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| `emergency-withdraw shared-pool accounting bypass` | 6 |
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| `cross-domain auth` | 6 |
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| `shared ETH refund nonce callback` | 6 |
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| `nested multicall deferred settlement shared-pool reentrancy` | 6 |
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| `stale liability cache shared-pool accounting` | 6 |
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| `liquidation callback shared collateral` | 6 |
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| `stale oracle` | 6 |
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| `async bridge finalize shared-escrow reentrancy` | 6 |
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| `arbitrary call allowance drain` | 6 |
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| `whitelist trycatch token callback shared-pool reentrancy` | 6 |
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| `Foundry invariant proof` | 6 |
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| `ZK public input binding` | 6 |
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| `Merkle replay` | 6 |
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| `multicall deferred-settlement shared-pool reentrancy` | 6 |
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| `approval callback claim reuse shared-pool reentrancy` | 6 |
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| `signed delta cast` | 6 |
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| `referral MLM shared reward-pool reentrancy` | 6 |
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| `Heimdall decompiled CFG` | 6 |
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| `ERC4626 share inflation` | 6 |
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| `router liquidity delta shared-pool reentrancy` | 6 |
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| `AST IR state mapping` | 6 |
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| `governance flashloan` | 6 |
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| `proxy storage collision` | 6 |
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| `read-only reentrancy` | 6 |
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| `ERC1155 receiver shared-pool reentrancy` | 6 |
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| `cross-contract guard-domain shared-pool reentrancy` | 6 |
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| `router balance-sweep shared-pool reentrancy` | 6 |
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| `rescue sweep alias shared-pool bypass` | 6 |
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| `shared-pool reentrancy two-user harness` | 6 |
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| `static analyzer false negative` | 6 |
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| `selector ambiguity` | 6 |
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| `multi-asset basket partial-settle shared-pool reentrancy` | 6 |
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| `EIP-7702 delegated EOA bypass` | 6 |
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| `cross-function reentrancy` | 6 |
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| `cooldown alias shared-pool reentrancy` | 6 |
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| `liquidation shared collateral reentrancy` | 6 |
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| `queued-claim reentrancy delete-after-transfer` | 6 |
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| `NFT callback reentrancy` | 6 |
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| `slippage/mep` | 6 |
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| `nominal LP accounting shared-pool bypass` | 6 |
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### Proof-Gated Audit Behaviors
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- `SOURCE_AVAILABILITY_CHECK`: 570
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- `MANUAL_REVIEW_PACKET`: 570
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- `STATE_WRITER_READER_TABLE`: 570
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- `FALSE_POSITIVE_CONTROLS`: 570
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- `MONEY_FLOW_GRAPH`: 396
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- `PATH_PROFIT_SWEEP`: 396
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- `CALL_FLOW_TRACE`: 330
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- `TWO_USER_SHARED_POOL_POC`: 288
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- `SUM_CLAIMS_LTE_ASSETS_INVARIANT`: 288
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- `FOUNDRY_POC`: 144
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- `FOUNDRY_TRACE`: 144
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- `BRANCH_BYPASS_MATRIX`: 120
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- `RECEIVER_HOOK_TRACE`: 48
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- `TOKENIZED_POSITION_CLAIM_BURN_CHECK`: 48
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- `BALANCE_DELTA_PARITY_CHECK`: 42
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- `ALLOWANCE_SIDE_EFFECT_TRACE`: 30
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- `CLAIM_CONSUMPTION_BEFORE_APPROVAL_CHECK`: 30
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- `LOCK_SCOPE_MATRIX`: 30
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- `MULTI_ENTRYPOINT_REENTRANCY_POC`: 30
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- `LIQUIDATION_COMMIT_ORDER_CHECK`: 24
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- `BORROWER_DEBT_COLLATERAL_INVARIANT`: 24
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- `PER_USER_CLAIM_CLOSE_BEFORE_CALLBACK_CHECK`: 24
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- `PREDICATE_SPECIFIC_CEI_TRACE`: 24
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- `MESSAGE_CONSUMPTION_BEFORE_PAYOUT_CHECK`: 18
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### Coverage Axes
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- `line_level_evidence`: 570
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- `invariant_binding`: 570
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- `near_miss_control`: 570
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- `asset_liability_delta`: 378
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- `shared_pool_claims`: 378
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- `rounding_and_donation`: 378
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- `two_user_harness`: 288
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- `victim_backing`: 288
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- `sum_claims_lte_assets`: 288
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- `per_user_claim_invalidation`: 288
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- `self_reentry`: 276
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- `cross_function_reentry`: 276
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- `post_callback_state_write`: 276
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- `authority_source`: 120
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- `downstream_identity`: 120
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- `nonce_domain_binding`: 120
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- `receiver_hook_reachability`: 48
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- `tokenized_claim_burn_order`: 48
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- `batch_id_reordering`: 48
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- `staleness`: 42
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- `same_tx_manipulation`: 42
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- `liquidity_depth`: 42
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- `source_domain`: 30
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- `message_nonce`: 30
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## Minimal Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "0xtoshi/seli_auditor-BF16"
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tok = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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torch_dtype="bfloat16",
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device_map="auto",
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trust_remote_code=True,
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)
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```
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## Intended Use
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Authorized smart-contract security review, local regression testing, PoC planning in owned/authorized scopes, audit triage, and invariant-focused code review. The dataset is intentionally proof-gated around finding classes such as shared-pool reentrancy, callback ordering, money-flow drift, AST/IR mapping, decompiler parity, transfer parity, stale accounting, bridge replay, oracle manipulation, access-control bypass, proxy/storage collision, and Foundry proof construction.
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This repository was uploaded by `seli.sh`.
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54
chat_template.jinja
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54
chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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{%- endif %}
|
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{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0]['role'] == 'system' %}
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{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
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{%- else %}
|
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{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role }}
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{%- if message.content %}
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{{- '\n' + message.content }}
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{%- endif %}
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{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{{- tool_call.arguments | tojson }}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- message.content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
|
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{{- '<|im_start|>assistant\n' }}
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{%- endif %}
|
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61
config.json
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61
config.json
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{
|
||||||
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"architectures": [
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"Qwen2ForCausalLM"
|
||||||
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],
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"attention_dropout": 0.0,
|
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"bos_token_id": 151643,
|
||||||
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"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
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|
"model.layers.7.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
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||||||
|
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.7.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.7.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.8.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.8.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.8.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||||
|
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||||
|
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||||
|
}
|
||||||
|
}
|
||||||
10
seli_merge_manifest.json
Normal file
10
seli_merge_manifest.json
Normal file
@@ -0,0 +1,10 @@
|
|||||||
|
{
|
||||||
|
"adapter_base_model_name_or_path": "/root/seli_model/outputs/seli-auditor-qwen2_5-coder7b-jhsu-seed-bf16",
|
||||||
|
"adapter_dir": "/root/seli_model/outputs/seli-auditor-lora",
|
||||||
|
"adapter_peft_type": "LORA",
|
||||||
|
"adapter_task_type": "CAUSAL_LM",
|
||||||
|
"base_model": "/root/seli_model/outputs/seli-auditor-qwen2_5-coder7b-jhsu-seed-bf16",
|
||||||
|
"dtype": "bf16",
|
||||||
|
"output_dir": "/root/seli_model/outputs/seli_auditor-merged-bf16",
|
||||||
|
"schema_version": "seli.merged_model_manifest.v1"
|
||||||
|
}
|
||||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
||||||
|
size 11421892
|
||||||
30
tokenizer_config.json
Normal file
30
tokenizer_config.json
Normal file
@@ -0,0 +1,30 @@
|
|||||||
|
{
|
||||||
|
"add_prefix_space": false,
|
||||||
|
"backend": "tokenizers",
|
||||||
|
"bos_token": null,
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "<|im_end|>",
|
||||||
|
"errors": "replace",
|
||||||
|
"extra_special_tokens": [
|
||||||
|
"<|im_start|>",
|
||||||
|
"<|im_end|>",
|
||||||
|
"<|object_ref_start|>",
|
||||||
|
"<|object_ref_end|>",
|
||||||
|
"<|box_start|>",
|
||||||
|
"<|box_end|>",
|
||||||
|
"<|quad_start|>",
|
||||||
|
"<|quad_end|>",
|
||||||
|
"<|vision_start|>",
|
||||||
|
"<|vision_end|>",
|
||||||
|
"<|vision_pad|>",
|
||||||
|
"<|image_pad|>",
|
||||||
|
"<|video_pad|>"
|
||||||
|
],
|
||||||
|
"is_local": true,
|
||||||
|
"local_files_only": false,
|
||||||
|
"model_max_length": 32768,
|
||||||
|
"pad_token": "<|endoftext|>",
|
||||||
|
"split_special_tokens": false,
|
||||||
|
"tokenizer_class": "Qwen2Tokenizer",
|
||||||
|
"unk_token": null
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user