初始化项目，由ModelHub XC社区提供模型
Model: 0xtoshi/seli_auditor-BF16 Source: Original Platform
This commit is contained in:
ModelHub XC
36
.gitattributes
vendored
Normal file
36
.gitattributes
vendored
Normal file
@@ -0,0 +1,36 @@
|
||||
*.7z filter=lfs diff=lfs merge=lfs -text
|
||||
*.arrow filter=lfs diff=lfs merge=lfs -text
|
||||
*.bin filter=lfs diff=lfs merge=lfs -text
|
||||
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
||||
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
||||
*.ftz filter=lfs diff=lfs merge=lfs -text
|
||||
*.gz filter=lfs diff=lfs merge=lfs -text
|
||||
*.h5 filter=lfs diff=lfs merge=lfs -text
|
||||
*.joblib filter=lfs diff=lfs merge=lfs -text
|
||||
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
||||
*.model filter=lfs diff=lfs merge=lfs -text
|
||||
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
||||
*.npy filter=lfs diff=lfs merge=lfs -text
|
||||
*.npz filter=lfs diff=lfs merge=lfs -text
|
||||
*.onnx filter=lfs diff=lfs merge=lfs -text
|
||||
*.ot filter=lfs diff=lfs merge=lfs -text
|
||||
*.parquet filter=lfs diff=lfs merge=lfs -text
|
||||
*.pb filter=lfs diff=lfs merge=lfs -text
|
||||
*.pickle filter=lfs diff=lfs merge=lfs -text
|
||||
*.pkl filter=lfs diff=lfs merge=lfs -text
|
||||
*.pt filter=lfs diff=lfs merge=lfs -text
|
||||
*.pth filter=lfs diff=lfs merge=lfs -text
|
||||
*.rar filter=lfs diff=lfs merge=lfs -text
|
||||
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar filter=lfs diff=lfs merge=lfs -text
|
||||
*.tflite filter=lfs diff=lfs merge=lfs -text
|
||||
*.tgz filter=lfs diff=lfs merge=lfs -text
|
||||
*.wasm filter=lfs diff=lfs merge=lfs -text
|
||||
*.xz filter=lfs diff=lfs merge=lfs -text
|
||||
*.zip filter=lfs diff=lfs merge=lfs -text
|
||||
*.zst filter=lfs diff=lfs merge=lfs -text
|
||||
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
||||
235
README.md
Normal file
235
README.md
Normal file
@@ -0,0 +1,235 @@
|
||||
---
|
||||
license: other
|
||||
tags:
|
||||
- solidity
|
||||
- smart-contract-audit
|
||||
- qwen2.5-coder
|
||||
- gguf
|
||||
- lora
|
||||
pipeline_tag: text-generation
|
||||
base_model: Qwen/Qwen2.5-Coder-7B-Instruct
|
||||
---
|
||||
|
||||
# SELI Auditor BF16
|
||||
|
||||
SELI Solidity audit artifact.
|
||||
|
||||
## Variant
|
||||
|
||||
**Merged BF16 Hugging Face model.** This variant contains the seed adapter plus the local SELI fine-tune merged into the Qwen2.5-Coder base.
|
||||
|
||||
Training stack:
|
||||
|
||||
```text
|
||||
Qwen/Qwen2.5-Coder-7B-Instruct
|
||||
-> merge seed adapter: jhsu12/solidity-vulnerability-detector
|
||||
-> train local SELI LoRA on audit dataset
|
||||
-> merge local SELI LoRA
|
||||
-> artifact: BF16 safetensors model
|
||||
```
|
||||
|
||||
Use this variant for highest quality Transformers/vLLM/SGLang serving when VRAM allows.
|
||||
|
||||
|
||||
## Base And Fine-Tune Stack
|
||||
|
||||
- Base model: `Qwen/Qwen2.5-Coder-7B-Instruct`
|
||||
- HF card base model: `Qwen/Qwen2.5-Coder-7B-Instruct`
|
||||
- Seed adapter: `jhsu12/solidity-vulnerability-detector`
|
||||
- Local fine-tune: `SELI audit dataset`
|
||||
- Artifact: `merged BF16 model`
|
||||
- Created: `2026-05-14 01:52:51 UTC`
|
||||
|
||||
## Training Data Coverage
|
||||
|
||||
Counts below are computed from the context-filtered Qwen2.5-Coder training files available during upload.
|
||||
|
||||
| Metric | Value |
|
||||
|---|---:|
|
||||
| Raw JSONL rows | 4072 |
|
||||
| Context-filtered rows used | 3441 |
|
||||
| Rows dropped for context overflow | 631 |
|
||||
| Max training context | 4096 tokens |
|
||||
| Named bug shapes | 95 |
|
||||
| Shape mentions | 570 |
|
||||
| Coverage axes | 111 |
|
||||
| Proof gates | 69 |
|
||||
| Bypass-hypothesis rows | 570 |
|
||||
| Line-label rows | 570 |
|
||||
|
||||
### Strong Shape Families
|
||||
|
||||
- `solidity`: 3204
|
||||
- `access-control`: 3106
|
||||
- `amm`: 3095
|
||||
- `accounting`: 2571
|
||||
- `decompiler`: 2504
|
||||
- `reentrancy`: 2481
|
||||
- `oracle`: 2299
|
||||
- `upgradeability`: 2112
|
||||
- `foundry`: 1967
|
||||
- `money-flow`: 1832
|
||||
- `flashloan`: 1786
|
||||
- `economic-model`: 1664
|
||||
- `signature`: 1554
|
||||
- `defi-hacks`: 1383
|
||||
- `constructor-plane`: 1187
|
||||
- `fork-poc`: 1168
|
||||
- `incident-reconstruction`: 1168
|
||||
- `multi-tx-window`: 1113
|
||||
- `ast-ir`: 700
|
||||
- `proof-gates`: 591
|
||||
- `line-level`: 570
|
||||
- `regression`: 570
|
||||
- `tool-use`: 562
|
||||
- `bridge-trust-config`: 541
|
||||
|
||||
### Source Families
|
||||
|
||||
- `historical_poc_foundry`: 789
|
||||
- `defihacklabs_incident_index`: 594
|
||||
- `curated_line_level_regression_suite`: 570
|
||||
- `local_skill_archive`: 499
|
||||
- `static_tool_artifact`: 496
|
||||
- `local_skill`: 192
|
||||
- `curated_vulnerable_contracts`: 143
|
||||
- `foundry_vulnerability_labs`: 54
|
||||
- `taxonomy_and_testcases`: 36
|
||||
- `ctf_training`: 23
|
||||
- `incident_intel_feed`: 4
|
||||
- `curated_regression`: 4
|
||||
- `audit_finding_dataset`: 3
|
||||
- `contest_judging_guidelines`: 2
|
||||
- `decompiler_tooling`: 2
|
||||
- `security_standard`: 2
|
||||
- `incident_database`: 2
|
||||
- `audit_model_adapter_index`: 1
|
||||
- `static_analyzer_json_schema`: 1
|
||||
- `curated_vulnerability_dataset`: 1
|
||||
|
||||
### Named Shape Coverage
|
||||
|
||||
| Shape | Count |
|
||||
|---|---:|
|
||||
| `epoch snapshot reward shared-pool reentrancy` | 6 |
|
||||
| `read-only reentrancy shared-pool price cache` | 6 |
|
||||
| `entrypoint asymmetry` | 6 |
|
||||
| `shared-escrow partial claim clear` | 6 |
|
||||
| `delegated operator shared-pool reentrancy` | 6 |
|
||||
| `emergency-withdraw shared-pool accounting bypass` | 6 |
|
||||
| `cross-domain auth` | 6 |
|
||||
| `shared ETH refund nonce callback` | 6 |
|
||||
| `nested multicall deferred settlement shared-pool reentrancy` | 6 |
|
||||
| `stale liability cache shared-pool accounting` | 6 |
|
||||
| `liquidation callback shared collateral` | 6 |
|
||||
| `stale oracle` | 6 |
|
||||
| `async bridge finalize shared-escrow reentrancy` | 6 |
|
||||
| `arbitrary call allowance drain` | 6 |
|
||||
| `whitelist trycatch token callback shared-pool reentrancy` | 6 |
|
||||
| `Foundry invariant proof` | 6 |
|
||||
| `ZK public input binding` | 6 |
|
||||
| `Merkle replay` | 6 |
|
||||
| `multicall deferred-settlement shared-pool reentrancy` | 6 |
|
||||
| `approval callback claim reuse shared-pool reentrancy` | 6 |
|
||||
| `signed delta cast` | 6 |
|
||||
| `referral MLM shared reward-pool reentrancy` | 6 |
|
||||
| `Heimdall decompiled CFG` | 6 |
|
||||
| `ERC4626 share inflation` | 6 |
|
||||
| `router liquidity delta shared-pool reentrancy` | 6 |
|
||||
| `AST IR state mapping` | 6 |
|
||||
| `governance flashloan` | 6 |
|
||||
| `proxy storage collision` | 6 |
|
||||
| `read-only reentrancy` | 6 |
|
||||
| `ERC1155 receiver shared-pool reentrancy` | 6 |
|
||||
| `cross-contract guard-domain shared-pool reentrancy` | 6 |
|
||||
| `router balance-sweep shared-pool reentrancy` | 6 |
|
||||
| `rescue sweep alias shared-pool bypass` | 6 |
|
||||
| `shared-pool reentrancy two-user harness` | 6 |
|
||||
| `static analyzer false negative` | 6 |
|
||||
| `selector ambiguity` | 6 |
|
||||
| `multi-asset basket partial-settle shared-pool reentrancy` | 6 |
|
||||
| `EIP-7702 delegated EOA bypass` | 6 |
|
||||
| `cross-function reentrancy` | 6 |
|
||||
| `cooldown alias shared-pool reentrancy` | 6 |
|
||||
| `liquidation shared collateral reentrancy` | 6 |
|
||||
| `queued-claim reentrancy delete-after-transfer` | 6 |
|
||||
| `NFT callback reentrancy` | 6 |
|
||||
| `slippage/mep` | 6 |
|
||||
| `nominal LP accounting shared-pool bypass` | 6 |
|
||||
|
||||
### Proof-Gated Audit Behaviors
|
||||
|
||||
- `SOURCE_AVAILABILITY_CHECK`: 570
|
||||
- `MANUAL_REVIEW_PACKET`: 570
|
||||
- `STATE_WRITER_READER_TABLE`: 570
|
||||
- `FALSE_POSITIVE_CONTROLS`: 570
|
||||
- `MONEY_FLOW_GRAPH`: 396
|
||||
- `PATH_PROFIT_SWEEP`: 396
|
||||
- `CALL_FLOW_TRACE`: 330
|
||||
- `TWO_USER_SHARED_POOL_POC`: 288
|
||||
- `SUM_CLAIMS_LTE_ASSETS_INVARIANT`: 288
|
||||
- `FOUNDRY_POC`: 144
|
||||
- `FOUNDRY_TRACE`: 144
|
||||
- `BRANCH_BYPASS_MATRIX`: 120
|
||||
- `RECEIVER_HOOK_TRACE`: 48
|
||||
- `TOKENIZED_POSITION_CLAIM_BURN_CHECK`: 48
|
||||
- `BALANCE_DELTA_PARITY_CHECK`: 42
|
||||
- `ALLOWANCE_SIDE_EFFECT_TRACE`: 30
|
||||
- `CLAIM_CONSUMPTION_BEFORE_APPROVAL_CHECK`: 30
|
||||
- `LOCK_SCOPE_MATRIX`: 30
|
||||
- `MULTI_ENTRYPOINT_REENTRANCY_POC`: 30
|
||||
- `LIQUIDATION_COMMIT_ORDER_CHECK`: 24
|
||||
- `BORROWER_DEBT_COLLATERAL_INVARIANT`: 24
|
||||
- `PER_USER_CLAIM_CLOSE_BEFORE_CALLBACK_CHECK`: 24
|
||||
- `PREDICATE_SPECIFIC_CEI_TRACE`: 24
|
||||
- `MESSAGE_CONSUMPTION_BEFORE_PAYOUT_CHECK`: 18
|
||||
|
||||
### Coverage Axes
|
||||
|
||||
- `line_level_evidence`: 570
|
||||
- `invariant_binding`: 570
|
||||
- `near_miss_control`: 570
|
||||
- `asset_liability_delta`: 378
|
||||
- `shared_pool_claims`: 378
|
||||
- `rounding_and_donation`: 378
|
||||
- `two_user_harness`: 288
|
||||
- `victim_backing`: 288
|
||||
- `sum_claims_lte_assets`: 288
|
||||
- `per_user_claim_invalidation`: 288
|
||||
- `self_reentry`: 276
|
||||
- `cross_function_reentry`: 276
|
||||
- `post_callback_state_write`: 276
|
||||
- `authority_source`: 120
|
||||
- `downstream_identity`: 120
|
||||
- `nonce_domain_binding`: 120
|
||||
- `receiver_hook_reachability`: 48
|
||||
- `tokenized_claim_burn_order`: 48
|
||||
- `batch_id_reordering`: 48
|
||||
- `staleness`: 42
|
||||
- `same_tx_manipulation`: 42
|
||||
- `liquidity_depth`: 42
|
||||
- `source_domain`: 30
|
||||
- `message_nonce`: 30
|
||||
|
||||
|
||||
## Minimal Usage
|
||||
|
||||
```python
|
||||
from transformers import AutoModelForCausalLM, AutoTokenizer
|
||||
|
||||
model_id = "0xtoshi/seli_auditor-BF16"
|
||||
tok = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
|
||||
model = AutoModelForCausalLM.from_pretrained(
|
||||
model_id,
|
||||
torch_dtype="bfloat16",
|
||||
device_map="auto",
|
||||
trust_remote_code=True,
|
||||
)
|
||||
```
|
||||
|
||||
|
||||
## Intended Use
|
||||
|
||||
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.
|
||||
|
||||
This repository was uploaded by `seli.sh`.
|
||||
54
chat_template.jinja
Normal file
54
chat_template.jinja
Normal file
@@ -0,0 +1,54 @@
|
||||
{%- if tools %}
|
||||
{{- '<|im_start|>system\n' }}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{{- messages[0]['content'] }}
|
||||
{%- else %}
|
||||
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
||||
{%- endif %}
|
||||
{{- "\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>" }}
|
||||
{%- for tool in tools %}
|
||||
{{- "\n" }}
|
||||
{{- tool | tojson }}
|
||||
{%- endfor %}
|
||||
{{- "\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" }}
|
||||
{%- else %}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- for message in messages %}
|
||||
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
||||
{%- elif message.role == "assistant" %}
|
||||
{{- '<|im_start|>' + message.role }}
|
||||
{%- if message.content %}
|
||||
{{- '\n' + message.content }}
|
||||
{%- endif %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if tool_call.function is defined %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{{- '}\n</tool_call>' }}
|
||||
{%- endfor %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
||||
{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_response>\n' }}
|
||||
{{- message.content }}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n' }}
|
||||
{%- endif %}
|
||||
61
config.json
Normal file
61
config.json
Normal file
@@ -0,0 +1,61 @@
|
||||
{
|
||||
"architectures": [
|
||||
"Qwen2ForCausalLM"
|
||||
],
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 151643,
|
||||
"dtype": "bfloat16",
|
||||
"eos_token_id": 151645,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 3584,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 18944,
|
||||
"layer_types": [
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
||||
"max_position_embeddings": 32768,
|
||||
"max_window_layers": 28,
|
||||
"model_type": "qwen2",
|
||||
"num_attention_heads": 28,
|
||||
"num_hidden_layers": 28,
|
||||
"num_key_value_heads": 4,
|
||||
"pad_token_id": null,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_parameters": {
|
||||
"rope_theta": 1000000.0,
|
||||
"rope_type": "default"
|
||||
},
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": false,
|
||||
"transformers_version": "5.8.1",
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 152064
|
||||
}
|
||||
14
generation_config.json
Normal file
14
generation_config.json
Normal file
@@ -0,0 +1,14 @@
|
||||
{
|
||||
"bos_token_id": 151643,
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
151645,
|
||||
151643
|
||||
],
|
||||
"pad_token_id": 151643,
|
||||
"repetition_penalty": 1.1,
|
||||
"temperature": 0.7,
|
||||
"top_k": 20,
|
||||
"top_p": 0.8,
|
||||
"transformers_version": "5.8.1"
|
||||
}
|
||||
3
model-00001-of-00004.safetensors
Normal file
3
model-00001-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:596880f968e9d9426732735da6353aca9d220d57c85d9fbade5aaa870c6ea8fc
|
||||
size 3989398544
|
||||
3
model-00002-of-00004.safetensors
Normal file
3
model-00002-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:5315d01283b4a89a960fbcc5acd27668cbda2aa11a64b179477ebe693f480c80
|
||||
size 3919792600
|
||||
3
model-00003-of-00004.safetensors
Normal file
3
model-00003-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:e8330264a0d9d723a3c8983b9926cbced0d5f290e5b47fce3dd7eecb2661fb2e
|
||||
size 3864726408
|
||||
3
model-00004-of-00004.safetensors
Normal file
3
model-00004-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:d0bfcf90aad6f0a620b6ccf2d1ce42d804b1906af47b0ca9f7d70374baa4dc2c
|
||||
size 3457354264
|
||||
347
model.safetensors.index.json
Normal file
347
model.safetensors.index.json
Normal file
@@ -0,0 +1,347 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_parameters": 7615616512,
|
||||
"total_size": 15231233024
|
||||
},
|
||||
"weight_map": {
|
||||
"lm_head.weight": "model-00001-of-00004.safetensors",
|
||||
"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.12.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.12.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.13.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.13.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.13.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.13.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.13.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.14.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.14.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.14.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.14.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.14.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.15.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.15.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.15.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.15.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.15.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.16.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.16.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.16.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.16.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.16.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.17.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.17.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.17.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.17.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.17.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.18.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.18.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.20.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.21.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.21.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.21.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.21.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.21.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.22.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.22.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.22.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.22.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.22.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.23.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.23.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.23.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.23.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.23.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.24.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.24.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.24.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.24.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.24.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.25.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.25.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.25.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.25.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.25.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.26.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.26.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.26.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.26.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.26.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.27.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.27.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.27.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.27.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.27.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.4.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.4.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.4.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.4.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.4.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.5.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.5.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.6.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
||||
"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